diff --git a/notebooks/names.ipynb b/notebooks/names.ipynb
index 43b5285..a338089 100644
--- a/notebooks/names.ipynb
+++ b/notebooks/names.ipynb
@@ -827,663 +827,6 @@
    "outputs": [],
    "execution_count": 134
   },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-25T19:20:21.846303Z",
-     "start_time": "2025-09-25T19:20:21.826623Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "P_both",
-   "id": "e18d66243a2e84ce",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[0.00000000e+00, 3.24013508e-02, 9.26023186e-02, 8.07567504e-03,\n",
-       "        1.78577669e-02, 2.02887868e-02, 8.45799629e-03, 5.69657652e-03,\n",
-       "        3.69820166e-03, 2.68854009e-02, 3.07494515e-03, 1.88787613e-01,\n",
-       "        6.02969225e-02, 2.67433060e-01, 1.19960803e-01, 1.46038926e-02,\n",
-       "        1.25087642e-02, 9.48564064e-06, 5.46732357e-03, 3.25790818e-02,\n",
-       "        4.21499933e-02, 4.79364338e-03, 5.06603104e-03, 1.06228192e-02,\n",
-       "        8.28745445e-06, 1.07286590e-02, 5.94460106e-03, 0.00000000e+00],\n",
-       "       [0.00000000e+00, 9.79188615e-04, 4.85819282e-02, 2.02181039e-03,\n",
-       "        2.09905376e-02, 1.13126896e-03, 6.78761374e-03, 6.18601611e-03,\n",
-       "        1.18322753e-02, 4.85108866e-03, 3.21792803e-03, 4.38667298e-02,\n",
-       "        7.63473398e-02, 8.29327106e-02, 1.35175537e-01, 1.80842017e-03,\n",
-       "        1.14416792e-02, 6.45832751e-06, 1.04753187e-02, 4.64873953e-02,\n",
-       "        3.37630746e-02, 4.56718766e-03, 1.12748243e-02, 8.25896230e-03,\n",
-       "        1.62785241e-05, 3.24132841e-02, 1.16528576e-02, 3.82932286e-01],\n",
-       "       [0.00000000e+00, 3.94208050e-01, 1.26062555e-04, 2.54671827e-07,\n",
-       "        6.20889915e-04, 1.16581886e-01, 1.27335914e-06, 5.78105048e-05,\n",
-       "        1.60163112e-03, 1.14119974e-01, 6.36679568e-06, 1.42616223e-05,\n",
-       "        3.71820868e-04, 2.21564490e-05, 3.82007741e-05, 1.91314061e-01,\n",
-       "        6.36679568e-06, 2.54671827e-07, 1.33906447e-03, 1.88457152e-05,\n",
-       "        9.42285761e-06, 1.43654266e-01, 1.22242477e-05, 2.73840976e-02,\n",
-       "        2.54671827e-07, 4.38137412e-03, 1.32429350e-05, 4.09588700e-03],\n",
-       "       [0.00000000e+00, 7.01929373e-02, 3.05958231e-05, 4.77906756e-03,\n",
-       "        1.83574938e-05, 1.01235459e-01, 0.00000000e+00, 7.95491400e-05,\n",
-       "        3.31719914e-01, 3.23593663e-01, 1.83574938e-05, 3.78347948e-02,\n",
-       "        1.57140147e-02, 8.56683046e-05, 4.28341523e-05, 3.82264213e-02,\n",
-       "        2.44766584e-05, 8.97069532e-03, 3.20644226e-03, 8.56683046e-05,\n",
-       "        1.32235147e-02, 1.80454164e-02, 6.11916461e-06, 3.76940540e-03,\n",
-       "        1.83574938e-05, 8.32818304e-03, 1.22383292e-05, 2.07378489e-02],\n",
-       "       [0.00000000e+00, 2.42481024e-01, 1.59597766e-05, 5.91102838e-07,\n",
-       "        6.72675030e-04, 1.00302467e-01, 9.45764541e-06, 4.07860958e-05,\n",
-       "        4.88723827e-03, 3.10415882e-01, 6.58571316e-02, 1.59597766e-05,\n",
-       "        2.60085249e-05, 1.21767185e-04, 7.15234434e-05, 1.40599130e-01,\n",
-       "        1.77330851e-06, 5.91102838e-07, 9.87496402e-03, 9.39853513e-05,\n",
-       "        1.47775710e-05, 9.32293308e-02, 3.01462448e-05, 8.75600634e-03,\n",
-       "        5.91102838e-07, 4.08629392e-03, 2.26924380e-03, 1.61246943e-02],\n",
-       "       [0.00000000e+00, 6.20521666e-03, 2.89410812e-02, 1.14746975e-03,\n",
-       "        1.42575234e-02, 3.73036745e-03, 4.63992522e-03, 5.86618568e-03,\n",
-       "        3.56149357e-03, 1.63971914e-03, 3.86254077e-03, 5.41582112e-02,\n",
-       "        1.01515014e-01, 9.48049725e-02, 1.71123389e-01, 2.71532767e-03,\n",
-       "        8.68032252e-03, 5.64623900e-06, 3.42218546e-02, 3.32745697e-02,\n",
-       "        3.46981918e-02, 2.61574854e-03, 2.96196565e-03, 5.42783221e-03,\n",
-       "        2.82055303e-04, 2.88689634e-02, 1.29332237e-02, 3.37861189e-01],\n",
-       "       [0.00000000e+00, 2.30773207e-01, 3.23098645e-06, 6.46197290e-06,\n",
-       "        3.55408510e-05, 8.83093217e-02, 1.52825659e-03, 3.87718374e-05,\n",
-       "        1.32470445e-04, 1.43985680e-01, 6.46197290e-06, 9.69295936e-05,\n",
-       "        3.84810486e-03, 3.55408510e-05, 1.93859187e-05, 8.54951325e-02,\n",
-       "        6.46197290e-06, 6.46197290e-06, 1.35184473e-02, 2.00321160e-04,\n",
-       "        5.04033887e-04, 3.97640734e-01, 0.00000000e+00, 2.65296298e-02,\n",
-       "        0.00000000e+00, 4.81416981e-03, 6.46197290e-06, 2.45878069e-03],\n",
-       "       [0.00000000e+00, 3.84041201e-01, 2.13788468e-02, 5.90704090e-06,\n",
-       "        4.26150808e-05, 9.36232228e-02, 5.48510940e-06, 4.51466697e-05,\n",
-       "        1.54637892e-02, 7.89180664e-02, 1.05482873e-05, 1.43456708e-05,\n",
-       "        8.78039436e-04, 2.91132730e-05, 5.13490627e-04, 2.51988458e-01,\n",
-       "        7.17283538e-06, 8.43862985e-07, 1.54637892e-03, 2.32062321e-05,\n",
-       "        2.36281636e-05, 1.18102844e-01, 5.48510940e-06, 2.03531313e-02,\n",
-       "        2.53158896e-06, 2.25100451e-03, 6.75090388e-06, 1.07187476e-02],\n",
-       "       [0.00000000e+00, 2.61423040e-01, 4.45304937e-05, 3.87221684e-06,\n",
-       "        2.51694095e-05, 9.37415295e-02, 2.51694095e-05, 3.48499516e-05,\n",
-       "        2.42013553e-05, 4.19773475e-01, 1.16166505e-05, 9.48693127e-05,\n",
-       "        7.45401742e-05, 2.46853824e-04, 6.03097773e-04, 1.15829622e-01,\n",
-       "        2.32333011e-05, 9.68054211e-07, 2.96708616e-03, 2.09099710e-04,\n",
-       "        2.07163601e-04, 7.81529526e-02, 1.16166505e-05, 7.23910939e-03,\n",
-       "        0.00000000e+00, 3.30493708e-03, 1.06485963e-05, 1.59167473e-02],\n",
-       "       [0.00000000e+00, 5.75254317e-02, 4.19969803e-02, 3.39123813e-03,\n",
-       "        1.60229517e-02, 2.87569967e-02, 7.80762981e-03, 6.44852009e-03,\n",
-       "        5.03957227e-03, 3.53360355e-04, 2.39100365e-03, 5.83105862e-02,\n",
-       "        8.42198661e-02, 7.33745628e-02, 1.08158907e-01, 1.16997001e-02,\n",
-       "        9.22495206e-03, 4.54262098e-04, 3.30700356e-02, 5.04862075e-02,\n",
-       "        4.80878507e-02, 2.13139613e-03, 5.38803052e-03, 5.74179938e-03,\n",
-       "        9.10975250e-05, 1.78020087e-02, 1.32783834e-02, 3.08746670e-01],\n",
-       "       [0.00000000e+00, 2.24793956e-01, 3.15239740e-05, 4.20319653e-05,\n",
-       "        2.41683801e-04, 1.02046606e-01, 1.05079913e-05, 2.10159827e-05,\n",
-       "        2.34678473e-04, 4.28078053e-01, 9.45719219e-05, 8.75665944e-05,\n",
-       "        3.50266378e-05, 7.32056729e-04, 1.26095896e-04, 1.26747391e-01,\n",
-       "        2.80213102e-05, 0.00000000e+00, 3.50266378e-05, 1.05079913e-05,\n",
-       "        7.35559393e-05, 6.34962889e-02, 7.00532755e-06, 1.98601036e-03,\n",
-       "        0.00000000e+00, 3.57271705e-04, 1.05079913e-05, 5.06730368e-02],\n",
-       "       [0.00000000e+00, 5.03426861e-01, 6.89567293e-05, 5.50605063e-06,\n",
-       "        1.31096443e-05, 7.31366083e-02, 2.11065274e-04, 4.71947196e-06,\n",
-       "        4.08968465e-03, 1.46060840e-01, 6.29262929e-06, 2.96277962e-05,\n",
-       "        2.08967731e-04, 3.98533188e-05, 5.32251560e-05, 1.28176139e-01,\n",
-       "        3.23913092e-03, 2.88412176e-06, 1.96644665e-04, 6.47092045e-04,\n",
-       "        2.09754310e-05, 1.06106315e-01, 3.14631464e-06, 2.12578127e-02,\n",
-       "        7.86578661e-07, 1.03498020e-02, 1.02255226e-05, 2.63372755e-03],\n",
-       "       [0.00000000e+00, 2.90786466e-01, 8.37854667e-04, 4.70306733e-05,\n",
-       "        3.59172608e-04, 1.72039169e-01, 2.87982342e-04, 9.69604978e-05,\n",
-       "        1.06946463e-04, 1.11114153e-01, 4.83191849e-06, 1.69439275e-04,\n",
-       "        2.76256887e-03, 2.69621052e-04, 7.40894169e-05, 1.75217283e-01,\n",
-       "        9.27728351e-04, 3.54340690e-06, 9.66383699e-06, 2.56091680e-04,\n",
-       "        1.26274137e-04, 2.17371585e-01, 4.77071419e-04, 1.05909211e-02,\n",
-       "        6.44255799e-07, 4.12613627e-03, 2.09383135e-05, 1.19158331e-02],\n",
-       "       [0.00000000e+00, 2.45514424e-01, 3.48617937e-01, 2.34502815e-05,\n",
-       "        5.80583583e-05, 2.77099117e-02, 4.40562708e-03, 6.39209287e-05,\n",
-       "        1.38054077e-05, 4.04354717e-02, 6.61903108e-06, 7.22419963e-05,\n",
-       "        7.98066033e-05, 6.67954793e-04, 1.91951901e-04, 5.56026978e-02,\n",
-       "        3.78727720e-02, 5.67345521e-07, 1.72094808e-05, 4.30804365e-04,\n",
-       "        1.19520790e-04, 1.90841039e-01, 6.14000234e-03, 3.71906336e-02,\n",
-       "        5.67345521e-07, 8.51396512e-04, 1.52994175e-04, 2.91861447e-03],\n",
-       "       [0.00000000e+00, 6.85288308e-02, 1.45191773e-04, 2.04092797e-03,\n",
-       "        1.89448848e-01, 2.72359158e-02, 6.79497498e-04, 3.94959466e-01,\n",
-       "        1.53622263e-04, 4.94566268e-02, 7.55559252e-03, 4.08592131e-02,\n",
-       "        3.01343183e-03, 4.02790080e-05, 1.80937051e-03, 1.41323115e-02,\n",
-       "        5.18943498e-05, 1.59242590e-05, 2.33430902e-04, 3.45440266e-02,\n",
-       "        3.49870957e-02, 1.16736059e-02, 1.38878273e-03, 7.60430202e-04,\n",
-       "        0.00000000e+00, 3.95225120e-02, 6.71741447e-02, 9.58902672e-03],\n",
-       "       [0.00000000e+00, 2.81175474e-03, 2.22174531e-02, 9.31895857e-04,\n",
-       "        1.04392994e-02, 1.65560710e-03, 7.27062393e-03, 4.76207964e-03,\n",
-       "        4.11273645e-03, 6.89763606e-03, 1.74627184e-03, 7.02396992e-02,\n",
-       "        8.71026531e-02, 1.02649706e-01, 1.95075412e-01, 4.09184912e-03,\n",
-       "        8.48484292e-03, 2.75437199e-06, 7.75240950e-03, 2.89392684e-02,\n",
-       "        3.21465050e-02, 3.71289344e-03, 2.54113769e-03, 7.40742441e-03,\n",
-       "        2.27235689e-05, 4.52561681e-02, 5.31203592e-03, 3.36417159e-01],\n",
-       "       [0.00000000e+00, 2.75518755e-01, 1.00939054e-04, 3.20441440e-06,\n",
-       "        6.40882880e-06, 2.04374346e-01, 3.69629201e-03, 3.20441440e-06,\n",
-       "        5.52024469e-02, 1.47904553e-01, 6.40882880e-06, 2.48342116e-04,\n",
-       "        1.30740108e-03, 6.72927024e-05, 1.10552297e-04, 1.42425005e-01,\n",
-       "        1.17121346e-03, 0.00000000e+00, 3.34701084e-03, 1.53811891e-04,\n",
-       "        2.67568603e-04, 1.41998818e-01, 9.61324320e-06, 1.25180449e-02,\n",
-       "        0.00000000e+00, 7.61368862e-03, 8.01103600e-06, 1.93706851e-03],\n",
-       "       [0.00000000e+00, 3.86473430e-03, 7.24637681e-04, 0.00000000e+00,\n",
-       "        4.83091787e-04, 7.24637681e-04, 0.00000000e+00, 0.00000000e+00,\n",
-       "        4.83091787e-04, 2.41545894e-04, 0.00000000e+00, 4.83091787e-04,\n",
-       "        4.83091787e-04, 7.24637681e-04, 1.69082126e-03, 7.24637681e-04,\n",
-       "        0.00000000e+00, 0.00000000e+00, 2.41545894e-04, 1.93236715e-03,\n",
-       "        7.24637681e-04, 9.83574879e-01, 0.00000000e+00, 2.41545894e-04,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.65700483e-03],\n",
-       "       [0.00000000e+00, 2.82239393e-01, 1.22678824e-03, 7.81304658e-03,\n",
-       "        8.80716809e-03, 1.88425888e-01, 2.35920815e-04, 4.03831354e-03,\n",
-       "        3.82110369e-02, 1.93762579e-01, 5.69464037e-05, 7.77725170e-04,\n",
-       "        3.92442073e-03, 3.35658374e-03, 4.53781485e-03, 6.94306824e-02,\n",
-       "        3.53067703e-04, 1.52941770e-04, 4.36046748e-03, 1.43667641e-03,\n",
-       "        1.16073041e-02, 1.01546827e-01, 1.72954363e-03, 3.17907366e-02,\n",
-       "        3.25408021e-06, 8.43782998e-03, 1.07384647e-04, 3.16296596e-02],\n",
-       "       [0.00000000e+00, 2.33799345e-01, 3.25730171e-05, 1.60724573e-03,\n",
-       "        4.28102510e-05, 1.30167360e-01, 7.44526104e-06, 1.20985492e-05,\n",
-       "        2.44367427e-01, 1.52112732e-01, 1.53558509e-05, 5.10000382e-04,\n",
-       "        2.60118808e-04, 6.66350864e-04, 1.14005560e-04, 1.14565816e-01,\n",
-       "        1.24149728e-03, 9.30657631e-06, 2.12655269e-04, 1.60440722e-02,\n",
-       "        9.14138458e-03, 7.10082466e-02, 6.97993223e-06, 9.78772630e-03,\n",
-       "        1.39598645e-06, 3.76497544e-03, 8.37591868e-06, 1.04926995e-02],\n",
-       "       [0.00000000e+00, 2.22707152e-01, 1.49959178e-05, 4.28716627e-03,\n",
-       "        6.85368983e-04, 1.37875245e-01, 7.38687802e-05, 6.10944798e-06,\n",
-       "        2.33114319e-02, 8.05514055e-02, 6.66485235e-06, 9.71957634e-05,\n",
-       "        2.22161745e-05, 6.83147365e-05, 4.66539664e-05, 1.44580642e-01,\n",
-       "        6.10944798e-06, 1.66621309e-06, 3.28466140e-03, 1.91457881e-01,\n",
-       "        3.36630584e-03, 1.64937323e-01, 8.33106543e-06, 1.11314142e-02,\n",
-       "        4.44323490e-06, 2.24494443e-03, 1.94391527e-05, 9.20305028e-03],\n",
-       "       [0.00000000e+00, 5.22268427e-02, 3.07403981e-02, 1.42048426e-03,\n",
-       "        1.63779766e-02, 2.25253741e-02, 6.43072121e-03, 1.27090934e-02,\n",
-       "        1.31690965e-02, 9.17323132e-03, 7.25477034e-03, 9.02338353e-02,\n",
-       "        9.35486776e-02, 1.10365738e-01, 1.23813155e-01, 1.19810014e-03,\n",
-       "        7.63632510e-03, 1.59170639e-06, 1.47464776e-02, 5.06219479e-02,\n",
-       "        5.95875752e-02, 4.96612394e-04, 5.72923346e-03, 7.16608956e-03,\n",
-       "        7.64019068e-05, 3.06126069e-02, 1.88671780e-02, 2.13270465e-01],\n",
-       "       [0.00000000e+00, 1.85400602e-01, 2.02656831e-05, 0.00000000e+00,\n",
-       "        1.68880693e-05, 8.22144987e-02, 3.37761385e-06, 4.05313662e-05,\n",
-       "        1.82391148e-04, 2.60012092e-01, 3.37761385e-06, 3.37761385e-06,\n",
-       "        9.11955740e-05, 6.75522770e-06, 4.39089801e-05, 5.67067589e-02,\n",
-       "        0.00000000e+00, 3.37761385e-06, 5.84327196e-04, 1.01328416e-05,\n",
-       "        1.68880693e-05, 3.65248407e-01, 2.36432970e-05, 1.16426349e-02,\n",
-       "        0.00000000e+00, 1.43818798e-02, 3.37761385e-05, 2.33089132e-02],\n",
-       "       [0.00000000e+00, 5.74384483e-01, 2.79704006e-05, 0.00000000e+00,\n",
-       "        2.01386884e-05, 2.55957136e-01, 2.23763205e-06, 1.56634243e-05,\n",
-       "        1.47683715e-04, 9.64452977e-02, 4.47526410e-06, 2.12575045e-05,\n",
-       "        3.91585608e-05, 6.60101454e-05, 7.94359377e-05, 3.73102768e-02,\n",
-       "        1.34257923e-05, 5.59408012e-06, 2.57327686e-05, 3.13268487e-05,\n",
-       "        3.69209288e-05, 2.98142094e-02, 7.83171217e-06, 5.25843531e-05,\n",
-       "        2.23763205e-06, 1.34257923e-04, 3.46832967e-05, 5.31997019e-03],\n",
-       "       [0.00000000e+00, 2.52709146e-01, 1.30039012e-03, 8.66926745e-03,\n",
-       "        0.00000000e+00, 4.59471175e-02, 0.00000000e+00, 0.00000000e+00,\n",
-       "        3.46770698e-03, 2.49241439e-01, 0.00000000e+00, 0.00000000e+00,\n",
-       "        8.66926745e-04, 0.00000000e+00, 4.33463372e-04, 3.03424361e-02,\n",
-       "        2.60078023e-03, 0.00000000e+00, 0.00000000e+00, 2.60078023e-03,\n",
-       "        7.36887733e-03, 1.43042913e-02, 0.00000000e+00, 1.30039012e-03,\n",
-       "        9.10273082e-03, 3.90117035e-03, 0.00000000e+00, 3.65843086e-01],\n",
-       "       [0.00000000e+00, 3.76521746e-01, 2.51256281e-04, 2.29570471e-04,\n",
-       "        4.61384302e-04, 1.33664603e-01, 3.51459679e-05, 9.49688921e-05,\n",
-       "        8.00131610e-05, 2.04184614e-01, 6.73007897e-06, 3.70154343e-04,\n",
-       "        1.13289663e-03, 1.04690117e-03, 7.94149318e-04, 1.08618988e-01,\n",
-       "        3.69406557e-04, 7.47786552e-07, 4.12030390e-04, 7.15631730e-04,\n",
-       "        2.73689878e-04, 5.13063831e-02, 6.64034458e-04, 1.75655061e-03,\n",
-       "        3.73893276e-06, 3.06592486e-05, 1.05437904e-04, 1.16868569e-01],\n",
-       "       [0.00000000e+00, 4.20307825e-01, 1.39054123e-04, 5.15015270e-06,\n",
-       "        3.34759926e-04, 1.17668114e-01, 3.86261453e-06, 1.15878436e-05,\n",
-       "        1.27466279e-04, 2.31387348e-01, 6.30893706e-05, 1.00427978e-04,\n",
-       "        3.09009162e-05, 9.65653632e-05, 1.66092425e-04, 1.13824812e-01,\n",
-       "        3.86261453e-06, 0.00000000e+00, 2.06006108e-04, 7.33896760e-05,\n",
-       "        3.34759926e-05, 9.47087331e-02, 2.57507635e-04, 5.94585129e-03,\n",
-       "        0.00000000e+00, 2.51584959e-03, 2.60082711e-04, 1.17281852e-02],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])"
-      ]
-     },
-     "execution_count": 85,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 85
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-25T19:20:36.015007Z",
-     "start_time": "2025-09-25T19:20:36.006734Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "P_male",
-   "id": "3cad91be032ba586",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[0.00000000e+00, 2.96327947e-02, 9.45715253e-02, 8.33096048e-03,\n",
-       "        1.81781176e-02, 2.09494693e-02, 5.91876912e-03, 6.34754052e-03,\n",
-       "        4.11468069e-03, 2.87384574e-02, 3.65044075e-03, 1.93122652e-01,\n",
-       "        6.22444484e-02, 2.67734512e-01, 1.12960631e-01, 1.50441252e-02,\n",
-       "        1.26316023e-02, 8.45277995e-06, 5.48303660e-03, 3.08622598e-02,\n",
-       "        4.36282779e-02, 5.04415500e-03, 4.43572059e-03, 1.08358009e-02,\n",
-       "        1.17675956e-05, 1.04719999e-02, 5.04780130e-03, 0.00000000e+00],\n",
-       "       [0.00000000e+00, 1.07774382e-03, 5.15268406e-02, 1.87845051e-03,\n",
-       "        2.15718500e-02, 1.25913894e-03, 6.20846565e-03, 6.55930063e-03,\n",
-       "        8.54962869e-03, 4.40750288e-03, 2.91914781e-03, 4.46714630e-02,\n",
-       "        8.15416076e-02, 8.72904602e-02, 1.38306915e-01, 1.79269741e-03,\n",
-       "        1.07895411e-02, 6.93699804e-06, 1.04567128e-02, 4.69147701e-02,\n",
-       "        3.34081398e-02, 4.53517316e-03, 6.95810422e-03, 7.63010746e-03,\n",
-       "        2.19917597e-05, 3.33792110e-02, 1.20914828e-02, 3.74246616e-01],\n",
-       "       [0.00000000e+00, 4.02867678e-01, 1.65303958e-04, 0.00000000e+00,\n",
-       "        8.09055245e-04, 1.19699561e-01, 8.12304463e-07, 5.44243990e-05,\n",
-       "        1.64857191e-03, 1.05385132e-01, 5.68613124e-06, 1.50276326e-05,\n",
-       "        3.85844620e-04, 2.39629817e-05, 4.42705932e-05, 1.91676235e-01,\n",
-       "        6.49843570e-06, 0.00000000e+00, 1.64938421e-03, 1.90891549e-05,\n",
-       "        1.25907192e-05, 1.38843140e-01, 1.34030236e-05, 2.77702527e-02,\n",
-       "        4.06152232e-07, 4.99404784e-03, 1.46214803e-05, 3.89499990e-03],\n",
-       "       [0.00000000e+00, 5.94166221e-02, 1.00825763e-05, 5.74706849e-04,\n",
-       "        0.00000000e+00, 8.18806021e-02, 0.00000000e+00, 1.00825763e-04,\n",
-       "        3.39440014e-01, 3.25465563e-01, 1.00825763e-05, 5.31351771e-02,\n",
-       "        1.34804045e-02, 9.07431867e-05, 4.03303052e-05, 4.30223531e-02,\n",
-       "        2.01651526e-05, 9.65910810e-03, 3.91203960e-03, 9.07431867e-05,\n",
-       "        9.80026416e-03, 2.15968784e-02, 0.00000000e+00, 4.43633357e-03,\n",
-       "        3.02477289e-05, 8.36853833e-03, 1.00825763e-05, 2.54080923e-02],\n",
-       "       [0.00000000e+00, 2.42971042e-01, 2.02800188e-05, 0.00000000e+00,\n",
-       "        8.40172206e-04, 9.82354452e-02, 7.72572144e-06, 4.63543286e-05,\n",
-       "        4.66537003e-03, 3.09890275e-01, 6.94397500e-02, 1.83485884e-05,\n",
-       "        3.47657465e-05, 1.81554454e-04, 7.72572144e-05, 1.36101137e-01,\n",
-       "        9.65715180e-07, 9.65715180e-07, 1.11800846e-02, 1.03331524e-04,\n",
-       "        1.35200125e-05, 9.14455018e-02, 3.66971768e-05, 9.03040265e-03,\n",
-       "        9.65715180e-07, 4.60163283e-03, 2.33799645e-03, 1.87184573e-02],\n",
-       "       [0.00000000e+00, 6.87188308e-03, 2.93752872e-02, 9.62847736e-04,\n",
-       "        1.34857702e-02, 1.69889509e-03, 4.79484683e-03, 6.24797123e-03,\n",
-       "        3.06644240e-03, 1.21494185e-03, 4.51577274e-03, 5.51049057e-02,\n",
-       "        1.00548031e-01, 9.42844616e-02, 1.73248937e-01, 3.15244106e-03,\n",
-       "        9.63016361e-03, 7.16655495e-06, 3.83811174e-02, 3.04363589e-02,\n",
-       "        3.26466087e-02, 3.01964901e-03, 2.56394042e-03, 5.14980208e-03,\n",
-       "        4.01748639e-04, 2.90342435e-02, 1.05883742e-02, 3.39567393e-01],\n",
-       "       [0.00000000e+00, 2.05416544e-01, 0.00000000e+00, 1.22297231e-05,\n",
-       "        3.66891694e-05, 8.94420800e-02, 1.90783681e-03, 3.05743078e-05,\n",
-       "        1.40641816e-04, 1.42757558e-01, 6.11486156e-06, 1.22297231e-04,\n",
-       "        3.25922121e-03, 5.50337540e-05, 3.05743078e-05, 9.80028862e-02,\n",
-       "        1.22297231e-05, 6.11486156e-06, 1.63755993e-02, 4.89188925e-05,\n",
-       "        7.21553664e-04, 4.03831572e-01, 0.00000000e+00, 2.91495451e-02,\n",
-       "        0.00000000e+00, 5.22209177e-03, 6.11486156e-06, 3.40597789e-03],\n",
-       "       [0.00000000e+00, 3.74539572e-01, 2.56898695e-02, 3.43475005e-06,\n",
-       "        2.26693504e-05, 9.59820294e-02, 6.86950011e-06, 4.19039506e-05,\n",
-       "        7.12229771e-03, 7.74336922e-02, 1.16781502e-05, 1.09912002e-05,\n",
-       "        9.02652314e-04, 2.81649504e-05, 3.25614305e-04, 2.63026977e-01,\n",
-       "        6.86950011e-06, 6.86950011e-07, 1.17056282e-03, 2.74780004e-05,\n",
-       "        2.81649504e-05, 1.19811638e-01, 6.86950011e-06, 2.16822032e-02,\n",
-       "        2.74780004e-06, 2.12130163e-03, 6.18255010e-06, 9.98687925e-03],\n",
-       "       [0.00000000e+00, 2.52954746e-01, 5.50397824e-05, 1.61881713e-06,\n",
-       "        1.78069884e-05, 8.70098019e-02, 2.75198912e-05, 3.39951597e-05,\n",
-       "        2.42822570e-05, 4.44378253e-01, 1.29505370e-05, 9.71290278e-05,\n",
-       "        5.98962338e-05, 2.75198912e-04, 9.13012862e-04, 1.02911443e-01,\n",
-       "        3.23763426e-05, 1.61881713e-06, 2.86368750e-03, 2.15302678e-04,\n",
-       "        1.74832250e-04, 8.33528940e-02, 1.29505370e-05, 7.75413405e-03,\n",
-       "        0.00000000e+00, 2.94624718e-03, 1.29505370e-05, 1.38603123e-02],\n",
-       "       [0.00000000e+00, 5.38791963e-02, 4.50879714e-02, 3.67093085e-03,\n",
-       "        1.56449753e-02, 2.52609759e-02, 5.77969680e-03, 6.65391032e-03,\n",
-       "        5.15998351e-03, 3.68694591e-04, 2.66650791e-03, 5.75626607e-02,\n",
-       "        8.79770052e-02, 7.69300936e-02, 9.72901122e-02, 1.20217415e-02,\n",
-       "        1.02861961e-02, 2.51018697e-04, 2.70619741e-02, 5.27188006e-02,\n",
-       "        4.98454895e-02, 2.32601375e-03, 4.57647819e-03, 5.18470241e-03,\n",
-       "        1.42394795e-04, 1.71942585e-02, 1.25241270e-02, 3.21934090e-01],\n",
-       "       [0.00000000e+00, 2.34806248e-01, 4.03170069e-05, 6.33552965e-05,\n",
-       "        2.47661614e-04, 1.03148182e-01, 1.72787172e-05, 3.45574345e-05,\n",
-       "        3.34055200e-04, 4.05485417e-01, 1.20951021e-04, 1.09431876e-04,\n",
-       "        4.03170069e-05, 7.60263558e-04, 8.06340137e-05, 1.42935308e-01,\n",
-       "        2.87978620e-05, 0.00000000e+00, 4.60765793e-05, 1.15191448e-05,\n",
-       "        1.03672303e-04, 6.47145556e-02, 0.00000000e+00, 2.18863752e-03,\n",
-       "        0.00000000e+00, 4.20448786e-04, 1.15191448e-05, 4.42507948e-02],\n",
-       "       [0.00000000e+00, 5.02756089e-01, 8.64788239e-05, 5.51090545e-06,\n",
-       "        1.44131373e-05, 7.28384851e-02, 2.39088513e-04, 4.66307384e-06,\n",
-       "        3.76945933e-03, 1.39758682e-01, 5.93482125e-06, 2.92501904e-05,\n",
-       "        1.42435710e-04, 4.06959171e-05, 5.63808019e-05, 1.32208317e-01,\n",
-       "        3.94750396e-03, 4.23915804e-06, 1.58120595e-04, 8.11374848e-04,\n",
-       "        2.54349482e-05, 1.09649638e-01, 2.54349482e-06, 2.14488679e-02,\n",
-       "        8.47831607e-07, 9.01668914e-03, 1.05978951e-05, 2.96825846e-03],\n",
-       "       [0.00000000e+00, 2.81777880e-01, 1.02300019e-03, 4.23880825e-05,\n",
-       "        3.38587732e-04, 1.78299783e-01, 3.37553877e-04, 6.66836908e-05,\n",
-       "        9.92501445e-05, 1.07804266e-01, 5.68620619e-06, 1.42155155e-04,\n",
-       "        1.73170825e-03, 3.01885856e-04, 8.21915259e-05, 1.80202594e-01,\n",
-       "        9.74925898e-04, 2.58463918e-06, 9.82162888e-06, 3.41172372e-04,\n",
-       "        1.42155155e-04, 2.16982010e-01, 4.33702454e-04, 1.10317569e-02,\n",
-       "        5.16927836e-07, 3.57714062e-03, 2.11940413e-05, 1.42274048e-02],\n",
-       "       [0.00000000e+00, 2.33010755e-01, 3.54306646e-01, 2.89308304e-05,\n",
-       "        5.66305616e-05, 2.69269087e-02, 4.43903582e-03, 6.27860574e-05,\n",
-       "        1.26187664e-05, 3.63251197e-02, 6.46327062e-06, 8.77158155e-05,\n",
-       "        8.80235903e-05, 8.98702391e-04, 6.80182289e-05, 5.73119750e-02,\n",
-       "        3.79252409e-02, 6.15549583e-07, 1.96975866e-05, 5.05058433e-04,\n",
-       "        1.39421980e-04, 2.04279054e-01, 5.89758055e-03, 3.34969772e-02,\n",
-       "        6.15549583e-07, 9.62411773e-04, 2.05593561e-04, 2.93740261e-03],\n",
-       "       [0.00000000e+00, 6.32952539e-02, 1.47812207e-04, 1.80193102e-03,\n",
-       "        1.94549989e-01, 2.10848477e-02, 7.09310697e-04, 4.06107149e-01,\n",
-       "        2.03241785e-04, 4.83289548e-02, 7.90795308e-03, 4.10510826e-02,\n",
-       "        2.70978608e-03, 4.25899580e-05, 1.21036903e-03, 1.44311062e-02,\n",
-       "        5.85611922e-05, 2.12949790e-05, 2.08565530e-04, 3.14739789e-02,\n",
-       "        3.43616407e-02, 1.20711215e-02, 1.45870606e-03, 8.66204587e-04,\n",
-       "        0.00000000e+00, 3.71349986e-02, 6.60166270e-02, 1.27469239e-02],\n",
-       "       [0.00000000e+00, 2.99410790e-03, 2.26660966e-02, 1.08421324e-03,\n",
-       "        9.36901662e-03, 1.64694349e-03, 7.49300362e-03, 5.05794317e-03,\n",
-       "        4.14792587e-03, 6.24453796e-03, 1.98170906e-03, 7.28555209e-02,\n",
-       "        8.61842728e-02, 1.04573546e-01, 1.97678517e-01, 4.12325118e-03,\n",
-       "        9.10090954e-03, 3.68278955e-06, 6.35133886e-03, 2.84278208e-02,\n",
-       "        3.11372491e-02, 3.54137043e-03, 2.18499904e-03, 6.91664706e-03,\n",
-       "        1.32580424e-05, 4.72557141e-02, 5.11944575e-03, 3.31846959e-01],\n",
-       "       [0.00000000e+00, 2.95994919e-01, 1.03691414e-04, 0.00000000e+00,\n",
-       "        5.18457072e-06, 1.91839486e-01, 3.35182497e-03, 5.18457072e-06,\n",
-       "        5.10135836e-02, 1.32183223e-01, 7.77685608e-06, 2.77374533e-04,\n",
-       "        1.53981750e-03, 6.48071340e-05, 1.29614268e-04, 1.50409581e-01,\n",
-       "        1.33761925e-03, 0.00000000e+00, 3.52032352e-03, 1.63313978e-04,\n",
-       "        3.44773953e-04, 1.44605454e-01, 7.77685608e-06, 1.22018872e-02,\n",
-       "        0.00000000e+00, 9.12743675e-03, 1.29614268e-05, 1.75238490e-03],\n",
-       "       [0.00000000e+00, 5.01504514e-03, 1.50451354e-03, 0.00000000e+00,\n",
-       "        5.01504514e-04, 1.00300903e-03, 0.00000000e+00, 0.00000000e+00,\n",
-       "        1.00300903e-03, 0.00000000e+00, 0.00000000e+00, 1.00300903e-03,\n",
-       "        1.00300903e-03, 1.50451354e-03, 2.50752257e-03, 1.50451354e-03,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.51053159e-03,\n",
-       "        5.01504514e-04, 9.75426279e-01, 0.00000000e+00, 5.01504514e-04,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.51053159e-03],\n",
-       "       [0.00000000e+00, 2.28075606e-01, 1.59510982e-03, 7.41502973e-03,\n",
-       "        1.36114179e-02, 2.11996230e-01, 2.56556124e-04, 4.40607257e-03,\n",
-       "        4.43535343e-02, 1.92135439e-01, 5.01957635e-05, 9.73240081e-04,\n",
-       "        3.23483809e-03, 3.31292039e-03, 5.03630827e-03, 7.22958427e-02,\n",
-       "        3.43004384e-04, 2.14726322e-04, 6.25216121e-03, 1.51423886e-03,\n",
-       "        1.30453212e-02, 1.07089873e-01, 1.37480619e-03, 3.41470624e-02,\n",
-       "        5.57730705e-06, 8.41615634e-03, 1.14334795e-04, 3.87343975e-02],\n",
-       "       [0.00000000e+00, 2.31631941e-01, 3.90448383e-05, 1.77497835e-03,\n",
-       "        4.76347027e-05, 1.29882655e-01, 5.46627736e-06, 1.24943483e-05,\n",
-       "        2.64154730e-01, 1.30285597e-01, 1.95224192e-05, 5.05240208e-04,\n",
-       "        2.81122836e-04, 8.12132637e-04, 9.83929925e-05, 1.16052973e-01,\n",
-       "        1.50947345e-03, 9.37076119e-06, 3.06111532e-04, 1.66034270e-02,\n",
-       "        9.57926063e-03, 7.13684982e-02, 7.80896766e-06, 8.95063873e-03,\n",
-       "        7.80896766e-07, 3.09859837e-03, 8.58986443e-06, 1.29535156e-02],\n",
-       "       [0.00000000e+00, 2.22413048e-01, 1.46867275e-05, 4.73738754e-03,\n",
-       "        8.82121571e-04, 1.43931765e-01, 9.54637288e-05, 7.34336376e-06,\n",
-       "        2.02080191e-02, 7.74100690e-02, 7.34336376e-06, 1.14740059e-04,\n",
-       "        2.11121708e-05, 5.96648305e-05, 4.31422621e-05, 1.49431945e-01,\n",
-       "        5.50752282e-06, 2.75376141e-06, 3.55418806e-03, 1.97188593e-01,\n",
-       "        5.86551180e-04, 1.53063238e-01, 4.58960235e-06, 1.22845296e-02,\n",
-       "        2.75376141e-06, 2.18924032e-03, 2.11121708e-05, 1.17190906e-02],\n",
-       "       [0.00000000e+00, 5.35634736e-02, 3.28028743e-02, 1.52987963e-03,\n",
-       "        1.70062776e-02, 2.38347288e-02, 6.50862086e-03, 9.64538997e-03,\n",
-       "        1.57409581e-02, 9.01383561e-03, 3.95587373e-03, 9.52401657e-02,\n",
-       "        9.63311998e-02, 1.12735032e-01, 1.24990650e-01, 8.85428891e-04,\n",
-       "        8.03850050e-03, 1.84234060e-06, 1.36027376e-02, 4.91941786e-02,\n",
-       "        6.07441803e-02, 5.59703074e-04, 5.30409858e-03, 5.91243945e-03,\n",
-       "        8.06945182e-05, 3.03908820e-02, 1.65836447e-02, 2.05802710e-01],\n",
-       "       [0.00000000e+00, 2.12080469e-01, 3.59494981e-05, 0.00000000e+00,\n",
-       "        7.18989963e-06, 7.64070634e-02, 7.18989963e-06, 3.59494981e-05,\n",
-       "        1.94127290e-04, 1.97405884e-01, 0.00000000e+00, 7.18989963e-06,\n",
-       "        7.90888959e-05, 1.43797993e-05, 5.75191970e-05, 6.47881856e-02,\n",
-       "        0.00000000e+00, 7.18989963e-06, 7.62129361e-04, 0.00000000e+00,\n",
-       "        2.87595985e-05, 3.85536798e-01, 2.15696989e-05, 1.39915447e-02,\n",
-       "        0.00000000e+00, 1.35313911e-02, 3.59494981e-05, 3.49644819e-02],\n",
-       "       [0.00000000e+00, 5.66106778e-01, 2.64068733e-05, 0.00000000e+00,\n",
-       "        1.69758471e-05, 2.68518291e-01, 3.77241048e-06, 1.50896419e-05,\n",
-       "        1.60327445e-04, 9.63794290e-02, 5.65861571e-06, 2.26344629e-05,\n",
-       "        3.96103100e-05, 7.35620043e-05, 8.86516462e-05, 3.75203946e-02,\n",
-       "        1.50896419e-05, 3.77241048e-06, 3.58378995e-05, 3.77241048e-05,\n",
-       "        4.33827205e-05, 2.45678232e-02, 7.54482095e-06, 6.79033886e-05,\n",
-       "        3.77241048e-06, 1.37692982e-04, 3.96103100e-05, 6.06226363e-03],\n",
-       "       [0.00000000e+00, 2.45483528e-01, 5.31349628e-04, 7.97024442e-03,\n",
-       "        0.00000000e+00, 4.72901169e-02, 0.00000000e+00, 0.00000000e+00,\n",
-       "        3.18809777e-03, 2.58767269e-01, 0.00000000e+00, 0.00000000e+00,\n",
-       "        5.31349628e-04, 0.00000000e+00, 0.00000000e+00, 2.60361318e-02,\n",
-       "        2.12539851e-03, 0.00000000e+00, 0.00000000e+00, 3.18809777e-03,\n",
-       "        9.03294368e-03, 1.27523911e-02, 0.00000000e+00, 1.59404888e-03,\n",
-       "        1.11583422e-02, 3.18809777e-03, 0.00000000e+00, 3.67162593e-01],\n",
-       "       [0.00000000e+00, 3.60629461e-01, 2.15365459e-04, 1.67093891e-04,\n",
-       "        1.53478833e-04, 1.33551339e-01, 2.22791854e-05, 9.15922067e-05,\n",
-       "        7.79771490e-05, 2.13031096e-01, 6.18866262e-06, 3.50278304e-04,\n",
-       "        9.86472821e-04, 1.29714368e-03, 5.34700450e-04, 1.05187461e-01,\n",
-       "        3.35425514e-04, 1.23773252e-06, 3.98549873e-04, 4.83953417e-04,\n",
-       "        2.82203015e-04, 5.35603995e-02, 4.28255453e-04, 1.64494652e-03,\n",
-       "        2.47546505e-06, 2.84678480e-05, 9.53054043e-05, 1.26436853e-01],\n",
-       "       [0.00000000e+00, 4.31452786e-01, 1.79085500e-04, 6.71570625e-06,\n",
-       "        7.83499062e-05, 1.23560041e-01, 4.47713750e-06, 1.56699812e-05,\n",
-       "        1.29836987e-04, 2.17718719e-01, 1.34314125e-05, 1.14167006e-04,\n",
-       "        3.13399625e-05, 1.09689869e-04, 1.81324069e-04, 1.12608962e-01,\n",
-       "        4.47713750e-06, 0.00000000e+00, 2.48481131e-04, 2.01471187e-05,\n",
-       "        3.58171000e-05, 9.18551915e-02, 1.11928437e-05, 6.35529668e-03,\n",
-       "        0.00000000e+00, 2.32587293e-03, 3.02206781e-04, 1.26367206e-02],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 86
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-25T19:20:46.999357Z",
-     "start_time": "2025-09-25T19:20:46.990660Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "P_female",
-   "id": "78142f56e835ff4d",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[0.00000000e+00, 3.65966617e-02, 8.96182961e-02, 7.68883017e-03,\n",
-       "        1.73723258e-02, 1.92876266e-02, 1.23057951e-02, 4.71014311e-03,\n",
-       "        3.06709329e-03, 2.40773856e-02, 2.20287220e-03, 1.82218544e-01,\n",
-       "        5.73457537e-02, 2.66976256e-01, 1.30568462e-01, 1.39367895e-02,\n",
-       "        1.23226225e-02, 1.10507783e-05, 5.44351294e-03, 3.51806551e-02,\n",
-       "        3.99098859e-02, 4.41403248e-03, 6.02116726e-03, 1.03000789e-02,\n",
-       "        3.01384863e-06, 1.11175853e-02, 7.30355986e-03, 0.00000000e+00],\n",
-       "       [0.00000000e+00, 8.31719108e-04, 4.41754154e-02, 2.23632174e-03,\n",
-       "        2.01207119e-02, 9.39935349e-04, 7.65420097e-03, 5.62746537e-03,\n",
-       "        1.67441443e-02, 5.51483214e-03, 3.66499697e-03, 4.26625966e-02,\n",
-       "        6.85750858e-02, 7.64121502e-02, 1.30490014e-01, 1.83194636e-03,\n",
-       "        1.24174824e-02, 5.74208625e-06, 1.05031591e-02, 4.58479085e-02,\n",
-       "        3.42941684e-02, 4.61509140e-03, 1.77339917e-02, 9.19992641e-03,\n",
-       "        7.72973148e-06, 3.09679545e-02, 1.09965369e-02, 3.95928773e-01],\n",
-       "       [0.00000000e+00, 3.79649312e-01, 6.00891368e-05, 6.82831100e-07,\n",
-       "        3.04542670e-04, 1.11340391e-01, 2.04849330e-06, 6.35032923e-05,\n",
-       "        1.52271335e-03, 1.28805162e-01, 7.51114210e-06, 1.29737909e-05,\n",
-       "        3.48243861e-04, 1.91192708e-05, 2.79960751e-05, 1.90705167e-01,\n",
-       "        6.14547990e-06, 6.82831100e-07, 8.17348826e-04, 1.84364397e-05,\n",
-       "        4.09698660e-06, 1.51742824e-01, 1.02424665e-05, 2.67348860e-02,\n",
-       "        0.00000000e+00, 3.35133504e-03, 1.09252976e-05, 4.43362233e-03],\n",
-       "       [0.00000000e+00, 8.68306351e-02, 6.22665006e-05, 1.12702366e-02,\n",
-       "        4.66998755e-05, 1.31117684e-01, 0.00000000e+00, 4.66998755e-05,\n",
-       "        3.19800747e-01, 3.20703611e-01, 3.11332503e-05, 1.42123288e-02,\n",
-       "        1.91625156e-02, 7.78331258e-05, 4.66998755e-05, 3.08219178e-02,\n",
-       "        3.11332503e-05, 7.90784558e-03, 2.11706102e-03, 7.78331258e-05,\n",
-       "        1.85087173e-02, 1.25622665e-02, 1.55666252e-05, 2.73972603e-03,\n",
-       "        0.00000000e+00, 8.26587796e-03, 1.55666252e-05, 1.35273973e-02],\n",
-       "       [0.00000000e+00, 2.41707822e-01, 9.14284321e-06, 1.52380720e-06,\n",
-       "        4.08380330e-04, 1.03564033e-01, 1.21904576e-05, 3.19999512e-05,\n",
-       "        5.23732535e-03, 3.11245240e-01, 6.02040987e-02, 1.21904576e-05,\n",
-       "        1.21904576e-05, 2.74285296e-05, 6.24760953e-05, 1.47696537e-01,\n",
-       "        3.04761440e-06, 0.00000000e+00, 7.81560714e-03, 7.92379745e-05,\n",
-       "        1.67618792e-05, 9.60440441e-02, 1.98094936e-05, 8.32303494e-03,\n",
-       "        0.00000000e+00, 3.27313787e-03, 2.16075861e-03, 1.20319817e-02],\n",
-       "       [0.00000000e+00, 5.16772302e-03, 2.82653521e-02, 1.43478612e-03,\n",
-       "        1.54585575e-02, 6.89182815e-03, 4.39882987e-03, 5.27203532e-03,\n",
-       "        4.33191254e-03, 2.30077499e-03, 2.84595436e-03, 5.26849263e-02,\n",
-       "        1.03019874e-01, 9.56150128e-02, 1.67815523e-01, 2.03507386e-03,\n",
-       "        7.20214083e-03, 3.28026090e-06, 2.77490390e-02, 3.76915098e-02,\n",
-       "        3.78909497e-02, 1.98718205e-03, 3.58138885e-03, 5.86051412e-03,\n",
-       "        9.57836182e-05, 2.86117477e-02, 1.65823749e-02, 3.35205925e-01],\n",
-       "       [0.00000000e+00, 2.59181870e-01, 6.85086355e-06, 0.00000000e+00,\n",
-       "        3.42543178e-05, 8.70402214e-02, 1.10298903e-03, 4.79560449e-05,\n",
-       "        1.23315544e-04, 1.45361623e-01, 6.85086355e-06, 6.85086355e-05,\n",
-       "        4.50786822e-03, 1.37017271e-05, 6.85086355e-06, 7.14819103e-02,\n",
-       "        0.00000000e+00, 6.85086355e-06, 1.03174005e-02, 3.69946632e-04,\n",
-       "        2.60332815e-04, 3.90704748e-01, 0.00000000e+00, 2.35943741e-02,\n",
-       "        0.00000000e+00, 4.35714922e-03, 6.85086355e-06, 1.39757616e-03],\n",
-       "       [0.00000000e+00, 3.99168583e-01, 1.45153405e-02, 9.84313327e-06,\n",
-       "        7.43703402e-05, 8.98678067e-02, 3.28104442e-06, 5.03093478e-05,\n",
-       "        2.87441365e-02, 8.12813135e-02, 8.74945179e-06, 1.96862665e-05,\n",
-       "        8.38853691e-04, 3.06230813e-05, 8.12605335e-04, 2.34414219e-01,\n",
-       "        7.65577032e-06, 1.09368147e-06, 2.14470937e-03, 1.64052221e-05,\n",
-       "        1.64052221e-05, 1.15382302e-01, 3.28104442e-06, 1.82371386e-02,\n",
-       "        2.18736295e-06, 2.45750227e-03, 7.65577032e-06, 1.18839429e-02],\n",
-       "       [0.00000000e+00, 2.74020204e-01, 2.88972102e-05, 7.22430255e-06,\n",
-       "        3.61215128e-05, 1.03755433e-01, 2.16729077e-05, 3.61215128e-05,\n",
-       "        2.40810085e-05, 3.83172191e-01, 9.63240341e-06, 9.15078323e-05,\n",
-       "        9.63240341e-05, 2.04688572e-04, 1.42077950e-04, 1.35046296e-01,\n",
-       "        9.63240341e-06, 0.00000000e+00, 3.12089870e-03, 1.99872371e-04,\n",
-       "        2.55258690e-04, 7.04176851e-02, 9.63240341e-06, 6.47297509e-03,\n",
-       "        0.00000000e+00, 3.83851276e-03, 7.22430255e-06, 1.89758347e-02],\n",
-       "       [0.00000000e+00, 6.27010075e-02, 3.76095349e-02, 2.99423391e-03,\n",
-       "        1.65594626e-02, 3.37193535e-02, 1.06861387e-02, 6.15698305e-03,\n",
-       "        4.86865696e-03, 3.31594480e-04, 1.99994465e-03, 5.93722141e-02,\n",
-       "        7.88868704e-02, 6.83277359e-02, 1.23586399e-01, 1.12425848e-02,\n",
-       "        7.71859044e-03, 7.42751868e-04, 4.15980581e-02, 4.73171980e-02,\n",
-       "        4.55930056e-02, 1.85515004e-03, 6.53997221e-03, 6.53255951e-03,\n",
-       "        1.82846435e-05, 1.86646675e-02, 1.43489975e-02, 2.90028050e-01],\n",
-       "       [0.00000000e+00, 2.09255138e-01, 1.78774146e-05, 8.93870728e-06,\n",
-       "        2.32406389e-04, 1.00336989e-01, 0.00000000e+00, 0.00000000e+00,\n",
-       "        8.04483656e-05, 4.63141241e-01, 5.36322437e-05, 5.36322437e-05,\n",
-       "        2.68161219e-05, 6.88280461e-04, 1.96651560e-04, 1.01624163e-01,\n",
-       "        2.68161219e-05, 0.00000000e+00, 1.78774146e-05, 8.93870728e-06,\n",
-       "        2.68161219e-05, 6.16055706e-02, 1.78774146e-05, 1.67153826e-03,\n",
-       "        0.00000000e+00, 2.59222511e-04, 8.93870728e-06, 6.06401902e-02],\n",
-       "       [0.00000000e+00, 5.04514349e-01, 4.05490757e-05, 5.49817976e-06,\n",
-       "        1.09963595e-05, 7.36199397e-02, 1.65632665e-04, 4.81090729e-06,\n",
-       "        4.60884918e-03, 1.56278200e-01, 6.87272470e-06, 3.02399887e-05,\n",
-       "        3.16832609e-04, 3.84872583e-05, 4.81090729e-05, 1.21638980e-01,\n",
-       "        2.09068285e-03, 6.87272470e-07, 2.59101721e-04, 3.80748948e-04,\n",
-       "        1.37454494e-05, 1.00361712e-01, 4.12363482e-06, 2.09480649e-02,\n",
-       "        6.87272470e-07, 1.25111080e-02, 9.62181458e-06, 2.09137013e-03],\n",
-       "       [0.00000000e+00, 3.05683373e-01, 5.31691643e-04, 5.47078218e-05,\n",
-       "        3.93212469e-04, 1.61686403e-01, 2.06009141e-04, 1.47027271e-04,\n",
-       "        1.19673360e-04, 1.16587497e-01, 3.41923886e-06, 2.14557238e-04,\n",
-       "        4.46723557e-03, 2.16266858e-04, 6.06914898e-05, 1.66973401e-01,\n",
-       "        8.49680857e-04, 5.12885829e-06, 9.40290687e-06, 1.15399312e-04,\n",
-       "        1.00012737e-04, 2.18015799e-01, 5.48787837e-04, 9.86193968e-03,\n",
-       "        8.54809715e-07, 5.03397441e-03, 2.05154332e-05, 8.09333838e-03],\n",
-       "       [0.00000000e+00, 2.65442297e-01, 3.39551488e-01, 1.47155918e-05,\n",
-       "        6.03339262e-05, 2.89578320e-02, 4.35238152e-03, 6.57296432e-05,\n",
-       "        1.56966312e-05, 4.69863940e-02, 6.86727615e-06, 4.75804134e-05,\n",
-       "        6.67106826e-05, 3.00198072e-04, 3.89472662e-04, 5.28785169e-02,\n",
-       "        3.77891491e-02, 4.90519725e-07, 1.32440326e-05, 3.12461065e-04,\n",
-       "        8.78030308e-05, 1.69424042e-01, 6.52636494e-03, 4.30774423e-02,\n",
-       "        4.90519725e-07, 6.74464622e-04, 6.91632813e-05, 2.88867066e-03],\n",
-       "       [0.00000000e+00, 7.63217250e-02, 1.41289897e-04, 2.39679892e-03,\n",
-       "        1.81853155e-01, 3.63949719e-02, 6.35105084e-04, 3.78360356e-01,\n",
-       "        7.97378629e-05, 5.11357516e-02, 7.03092104e-03, 4.05735157e-02,\n",
-       "        3.46556607e-03, 3.68379601e-05, 2.70129497e-03, 1.36874005e-02,\n",
-       "        4.19672963e-05, 7.92715596e-06, 2.70455909e-04, 3.91153854e-02,\n",
-       "        3.59184100e-02, 1.10816977e-02, 1.28466557e-03, 6.02930157e-04,\n",
-       "        0.00000000e+00, 4.30775644e-02, 6.88977103e-02, 4.88685850e-03],\n",
-       "       [0.00000000e+00, 2.51008757e-03, 2.14752613e-02, 6.79916923e-04,\n",
-       "        1.22098701e-02, 1.66993933e-03, 6.90274081e-03, 4.27263206e-03,\n",
-       "        4.05452251e-03, 7.97805745e-03, 1.35678762e-03, 6.59123407e-02,\n",
-       "        8.86219315e-02, 9.94670938e-02, 1.90769092e-01, 4.03990064e-03,\n",
-       "        7.46568278e-03, 1.21848911e-06, 1.00702033e-02, 2.97853571e-02,\n",
-       "        3.38161190e-02, 3.99664428e-03, 3.13029852e-03, 8.21931829e-03,\n",
-       "        3.83824070e-05, 4.19483153e-02, 5.63063818e-03, 3.43977648e-01],\n",
-       "       [0.00000000e+00, 2.42382928e-01, 9.64850092e-05, 8.39000080e-06,\n",
-       "        8.39000080e-06, 2.24659051e-01, 4.25373040e-03, 0.00000000e+00,\n",
-       "        6.19811309e-02, 1.73345806e-01, 4.19500040e-06, 2.01360019e-04,\n",
-       "        9.31290088e-04, 7.13150068e-05, 7.97050076e-05, 1.29503857e-01,\n",
-       "        9.01925086e-04, 0.00000000e+00, 3.06654529e-03, 1.38435013e-04,\n",
-       "        1.42630014e-04, 1.37780593e-01, 1.25850012e-05, 1.30296712e-02,\n",
-       "        0.00000000e+00, 5.16404549e-03, 0.00000000e+00, 2.23593521e-03],\n",
-       "       [0.00000000e+00, 2.79589935e-03, 0.00000000e+00, 0.00000000e+00,\n",
-       "        4.65983225e-04, 4.65983225e-04, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 4.65983225e-04, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 9.31966449e-04, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 4.65983225e-04, 4.65983225e-04,\n",
-       "        9.31966449e-04, 9.91146319e-01, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.86393290e-03],\n",
-       "       [0.00000000e+00, 3.58105126e-01, 7.10890292e-04, 8.37053789e-03,\n",
-       "        2.07798701e-03, 1.55411555e-01, 2.07017503e-04, 3.52320354e-03,\n",
-       "        2.96074089e-02, 1.96041669e-01, 6.64018405e-05, 5.03872790e-04,\n",
-       "        4.89030025e-03, 3.41774179e-03, 3.83958878e-03, 6.54175309e-02,\n",
-       "        3.67163118e-04, 6.64018405e-05, 1.71082389e-03, 1.32803681e-03,\n",
-       "        9.59311296e-03, 9.37828347e-02, 2.22641465e-03, 2.84902956e-02,\n",
-       "        0.00000000e+00, 8.46818766e-03, 9.76497654e-05, 2.16782479e-02],\n",
-       "       [0.00000000e+00, 2.36995345e-01, 2.30298271e-05, 1.35991129e-03,\n",
-       "        3.56962320e-05, 1.30587180e-01, 1.03634222e-05, 1.15149135e-05,\n",
-       "        2.15189553e-01, 1.84298494e-01, 9.21193083e-06, 5.17019618e-04,\n",
-       "        2.29146779e-04, 4.51384611e-04, 1.37027471e-04, 1.12372890e-01,\n",
-       "        8.46346145e-04, 9.21193083e-06, 7.48469380e-05, 1.52192612e-02,\n",
-       "        8.49570321e-03, 7.04770283e-02, 5.75745677e-06, 1.10220752e-02,\n",
-       "        2.30298271e-06, 4.74759885e-03, 8.06043948e-06, 6.86403996e-03],\n",
-       "       [0.00000000e+00, 2.23157744e-01, 1.54696226e-05, 3.59739042e-03,\n",
-       "        3.83927906e-04, 1.28596160e-01, 4.07835504e-05, 4.21898798e-06,\n",
-       "        2.80661144e-02, 8.53641901e-02, 5.62531730e-06, 7.03164663e-05,\n",
-       "        2.39075985e-05, 8.15671009e-05, 5.20341851e-05, 1.37148049e-01,\n",
-       "        7.03164663e-06, 0.00000000e+00, 2.87172448e-03, 1.82677960e-01,\n",
-       "        7.62511760e-03, 1.83129392e-01, 1.40632933e-05, 9.36474698e-03,\n",
-       "        7.03164663e-06, 2.33028769e-03, 1.68759519e-05, 5.34827043e-03],\n",
-       "       [0.00000000e+00, 5.00725418e-02, 2.74162236e-02, 1.24416741e-03,\n",
-       "        1.53653190e-02, 2.04150352e-02, 6.30516724e-03, 1.76469855e-02,\n",
-       "        9.02392543e-03, 9.43013569e-03, 1.25717326e-02, 8.21649344e-02,\n",
-       "        8.90639763e-02, 1.06547052e-01, 1.21915341e-01, 1.70204477e-03,\n",
-       "        6.98812310e-03, 1.18774932e-06, 1.65898886e-02, 5.29231401e-02,\n",
-       "        5.77234290e-02, 3.94926648e-04, 6.41444018e-03, 9.18664708e-03,\n",
-       "        6.94833350e-05, 3.09699695e-02, 2.25476391e-02, 2.25306543e-01],\n",
-       "       [0.00000000e+00, 1.61762739e-01, 6.37011651e-06, 0.00000000e+00,\n",
-       "        2.54804660e-05, 8.73597778e-02, 0.00000000e+00, 4.45908156e-05,\n",
-       "        1.71993146e-04, 3.15480020e-01, 6.37011651e-06, 0.00000000e+00,\n",
-       "        1.01921864e-04, 0.00000000e+00, 3.18505825e-05, 4.95467662e-02,\n",
-       "        0.00000000e+00, 0.00000000e+00, 4.26797806e-04, 1.91103495e-05,\n",
-       "        6.37011651e-06, 3.47273272e-01, 2.54804660e-05, 9.56154488e-03,\n",
-       "        0.00000000e+00, 1.51353968e-02, 3.18505825e-05, 1.29822974e-02],\n",
-       "       [0.00000000e+00, 5.86452974e-01, 3.02499471e-05, 0.00000000e+00,\n",
-       "        2.47499567e-05, 2.37643584e-01, 0.00000000e+00, 1.64999711e-05,\n",
-       "        1.29249774e-04, 9.65413311e-02, 2.74999519e-06, 1.92499663e-05,\n",
-       "        3.84999326e-05, 5.49999038e-05, 6.59998845e-05, 3.70039352e-02,\n",
-       "        1.09999808e-05, 8.24998556e-06, 1.09999808e-05, 2.19999615e-05,\n",
-       "        2.74999519e-05, 3.74631844e-02, 8.24998556e-06, 3.02499471e-05,\n",
-       "        0.00000000e+00, 1.29249774e-04, 2.74999519e-05, 4.23774258e-03],\n",
-       "       [0.00000000e+00, 2.84705882e-01, 4.70588235e-03, 1.17647059e-02,\n",
-       "        0.00000000e+00, 4.00000000e-02, 0.00000000e+00, 0.00000000e+00,\n",
-       "        4.70588235e-03, 2.07058824e-01, 0.00000000e+00, 0.00000000e+00,\n",
-       "        2.35294118e-03, 0.00000000e+00, 2.35294118e-03, 4.94117647e-02,\n",
-       "        4.70588235e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 2.11764706e-02, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 7.05882353e-03, 0.00000000e+00, 3.60000000e-01],\n",
-       "       [0.00000000e+00, 4.00777556e-01, 3.06035126e-04, 3.24926183e-04,\n",
-       "        9.31329118e-04, 1.33837473e-01, 5.47840658e-05, 1.00122603e-04,\n",
-       "        8.31206515e-05, 1.90682553e-01, 7.55642286e-06, 4.00490412e-04,\n",
-       "        1.35637790e-03, 6.64965212e-04, 1.19013660e-03, 1.13856402e-01,\n",
-       "        4.21270575e-04, 0.00000000e+00, 4.32605209e-04, 1.06923384e-03,\n",
-       "        2.60696589e-04, 4.78661606e-02, 1.02389530e-03, 1.92688783e-03,\n",
-       "        5.66731715e-06, 3.40039029e-05, 1.20902766e-04, 1.02264849e-01],\n",
-       "       [0.00000000e+00, 4.05219389e-01, 8.48582564e-05, 3.03065201e-06,\n",
-       "        6.81896703e-04, 1.09691419e-01, 3.03065201e-06, 6.06130403e-06,\n",
-       "        1.24256733e-04, 2.49892412e-01, 1.30318037e-04, 8.18276044e-05,\n",
-       "        3.03065201e-05, 7.87969524e-05, 1.45471297e-04, 1.15470872e-01,\n",
-       "        3.03065201e-06, 0.00000000e+00, 1.48501949e-04, 1.45471297e-04,\n",
-       "        3.03065201e-05, 9.85719568e-02, 5.90977143e-04, 5.39152993e-03,\n",
-       "        0.00000000e+00, 2.77304659e-03, 2.03053685e-04, 1.04981786e-02],\n",
-       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])"
-      ]
-     },
-     "execution_count": 87,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 87
-  },
   {
    "cell_type": "code",
    "id": "67b3e0f724af646b",
@@ -1895,8 +1238,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T20:34:04.554985Z",
-     "start_time": "2025-09-25T20:34:04.545470Z"
+     "end_time": "2025-09-25T21:39:15.252765Z",
+     "start_time": "2025-09-25T21:39:15.191830Z"
     }
    },
    "cell_type": "code",
@@ -1909,22 +1252,19 @@
     "    # Slice datasets (adapt values if your labels are 'M'/'F', etc.)\n",
     "    df_male   = df_all[df_all['sex'].str.lower() == str('m').lower()]\n",
     "    df_female = df_all[df_all['sex'].str.lower() == str('f').lower()]\n",
-    "    df_both   = df_all\n",
     "\n",
     "    L_m = letter_freq(df_male,   col='name')\n",
     "    L_f = letter_freq(df_female, col='name')\n",
-    "    L_b = letter_freq(df_both,   col='name')\n",
     "\n",
     "    y = \"freq\" if use == \"freq\" else \"count\"\n",
     "    if sort_values:\n",
     "        L_m = L_m.sort_values(y, ascending=False)\n",
     "        L_f = L_f.sort_values(y, ascending=False)\n",
-    "        L_b = L_b.sort_values(y, ascending=False)\n",
     "\n",
-    "    ymax = max(L_m[y].max(), L_f[y].max(), L_b[y].max()) * 1.10\n",
+    "    ymax = max(L_m[y].max(), L_f[y].max()) * 1.10\n",
     "\n",
-    "    fig, axes = plt.subplots(1, 3, figsize=(18, 5), sharey=True, constrained_layout=True)\n",
-    "    for ax, data, title in zip(axes, [L_m, L_f, L_b], [\"Male\", \"Female\", \"All\"]):\n",
+    "    fig, axes = plt.subplots(1, 2, figsize=(18, 5), sharey=True, constrained_layout=True)\n",
+    "    for ax, data, title in zip(axes, [L_m, L_f], [\"Male\", \"Female\"]):\n",
     "        ax.bar(data[\"letter\"], data[y], color=\"steelblue\", alpha=0.8)\n",
     "        ax.set_title(title)\n",
     "        ax.set_xlabel(\"Letter\")\n",
@@ -1935,13 +1275,13 @@
    ],
    "id": "4a0d8e2a74a6406c",
    "outputs": [],
-   "execution_count": 167
+   "execution_count": 207
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T20:34:46.748031Z",
-     "start_time": "2025-09-25T20:34:06.149889Z"
+     "end_time": "2025-09-25T21:39:45.123899Z",
+     "start_time": "2025-09-25T21:39:17.350875Z"
     }
    },
    "cell_type": "code",
@@ -1951,9 +1291,9 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 1800x500 with 3 Axes>"
+       "<Figure size 1800x500 with 2 Axes>"
       ],
-      "image/png": "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"
+      "image/png": "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"
      },
      "metadata": {},
      "output_type": "display_data",
@@ -1962,13 +1302,13 @@
      }
     }
    ],
-   "execution_count": 168
+   "execution_count": 208
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T20:35:31.783422Z",
-     "start_time": "2025-09-25T20:34:54.827165Z"
+     "end_time": "2025-09-25T21:40:08.366997Z",
+     "start_time": "2025-09-25T21:39:45.174312Z"
     }
    },
    "cell_type": "code",
@@ -1978,9 +1318,9 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 1800x500 with 3 Axes>"
+       "<Figure size 1800x500 with 2 Axes>"
       ],
-      "image/png": "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"
+      "image/png": "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"
      },
      "metadata": {},
      "output_type": "display_data",
@@ -1989,15 +1329,15 @@
      }
     }
    ],
-   "execution_count": 169
+   "execution_count": 209
   },
   {
    "cell_type": "code",
    "id": "98c7ed61-5c2d-4d9a-9d85-e4efe4bfc402",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T21:03:55.917695Z",
-     "start_time": "2025-09-25T21:03:55.879223Z"
+     "end_time": "2025-09-25T21:35:00.849876Z",
+     "start_time": "2025-09-25T21:35:00.831997Z"
     }
    },
    "source": [
@@ -2036,17 +1376,15 @@
     "    # Split datasets\n",
     "    df_male   = df[df[gender_col].str.lower() == str(male_value).lower()]\n",
     "    df_female = df[df[gender_col].str.lower() == str(female_value).lower()]\n",
-    "    df_all    = df\n",
     "\n",
     "    # Compute n-grams\n",
     "    ng_male   = count_ngrams(df_male, n, col=name_col)\n",
     "    ng_female = count_ngrams(df_female, n, col=name_col)\n",
-    "    ng_all    = count_ngrams(df_all, n, col=name_col)\n",
     "\n",
     "    # Plot in a grid\n",
-    "    fig, axes = plt.subplots(1, 3, figsize=(18, 6), sharey=True, constrained_layout=True)\n",
+    "    fig, axes = plt.subplots(1, 2, figsize=(18, 6), sharey=True, constrained_layout=True)\n",
     "    for ax, data, title in zip(\n",
-    "            axes, [ng_male, ng_female, ng_all], [\"Male\", \"Female\", \"All\"]\n",
+    "            axes, [ng_male, ng_female], [\"Male\", \"Female\"]\n",
     "    ):\n",
     "        sns.barplot(\n",
     "            data=data.head(top_k),\n",
@@ -2061,15 +1399,15 @@
     "    plt.show()"
    ],
    "outputs": [],
-   "execution_count": 192
+   "execution_count": 202
   },
   {
    "cell_type": "code",
    "id": "412883b2-c1fd-483f-b61a-ba2bfc8b04e7",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T21:05:12.622401Z",
-     "start_time": "2025-09-25T21:03:59.209917Z"
+     "end_time": "2025-09-25T21:35:45.360163Z",
+     "start_time": "2025-09-25T21:35:03.778209Z"
     }
    },
    "source": "plot_ngrams_grid(df_names, n=3, top_k=20, gender_col=\"sex\")",
@@ -2077,9 +1415,9 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 1800x600 with 3 Axes>"
+       "<Figure size 1800x600 with 2 Axes>"
       ],
-      "image/png": "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"
+      "image/png": "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"
      },
      "metadata": {},
      "output_type": "display_data",
@@ -2088,13 +1426,13 @@
      }
     }
    ],
-   "execution_count": 193
+   "execution_count": 203
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T21:06:14.580840Z",
-     "start_time": "2025-09-25T21:05:18.437587Z"
+     "end_time": "2025-09-25T21:36:19.354244Z",
+     "start_time": "2025-09-25T21:35:45.428602Z"
     }
    },
    "cell_type": "code",
@@ -2104,9 +1442,9 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 1800x600 with 3 Axes>"
+       "<Figure size 1800x600 with 2 Axes>"
       ],
-      "image/png": "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"
+      "image/png": "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"
      },
      "metadata": {},
      "output_type": "display_data",
@@ -2115,13 +1453,13 @@
      }
     }
    ],
-   "execution_count": 194
+   "execution_count": 204
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T21:07:02.952457Z",
-     "start_time": "2025-09-25T21:06:20.917544Z"
+     "end_time": "2025-09-25T21:36:46.475564Z",
+     "start_time": "2025-09-25T21:36:21.247703Z"
     }
    },
    "cell_type": "code",
@@ -2131,9 +1469,9 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 1800x600 with 3 Axes>"
+       "<Figure size 1800x600 with 2 Axes>"
       ],
-      "image/png": "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"
+      "image/png": "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"
      },
      "metadata": {},
      "output_type": "display_data",
@@ -2142,7 +1480,7 @@
      }
     }
    ],
-   "execution_count": 195
+   "execution_count": 205
   },
   {
    "cell_type": "markdown",
@@ -2157,8 +1495,8 @@
    "id": "28fe77f9-f9b0-4267-9dbb-3969e04b83fb",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T18:53:56.149023Z",
-     "start_time": "2025-09-25T18:53:56.131963Z"
+     "end_time": "2025-09-25T21:43:42.826584Z",
+     "start_time": "2025-09-25T21:43:42.798968Z"
     }
    },
    "source": [
@@ -2170,12 +1508,23 @@
     "\n",
     "# Prepare a well-formed probability matrix (rows sum to 1, no NaNs/negatives)\n",
     "def prepare_prob_matrix(df_probs, tokens):\n",
-    "    P = df_probs.loc[tokens, tokens].to_numpy(dtype=float)\n",
+    "    import pandas as pd, numpy as np\n",
+    "    if isinstance(df_probs, pd.DataFrame):\n",
+    "        P = df_probs.loc[tokens, tokens].to_numpy(dtype=float, copy=True)\n",
+    "    else:\n",
+    "        P = np.array(df_probs, dtype=float, copy=True)\n",
+    "        if P.shape[0] != len(tokens) or P.shape[1] != len(tokens):\n",
+    "            raise ValueError(\n",
+    "                f\"Matrix shape {P.shape} does not match tokens length {len(tokens)}. \"\n",
+    "                \"Use the same tokens used to build the matrix (e.g., transitions['tokens']).\"\n",
+    "            )\n",
+    "    # clean & renormalize\n",
     "    P[~np.isfinite(P) | (P < 0)] = 0.0\n",
     "    rs = P.sum(axis=1, keepdims=True)\n",
     "    P = np.divide(P, np.where(rs == 0, 1.0, rs), out=np.zeros_like(P), where=True)\n",
     "    return P\n",
     "\n",
+    "\n",
     "def generate_name(P, token_to_idx, idx_to_token, *,\n",
     "                  target_len=None,   # exact character length (letters only), if provided\n",
     "                  min_len=1,         # minimum character length\n",
@@ -2229,39 +1578,52 @@
     "    return \"\".join(out).capitalize()"
    ],
    "outputs": [],
-   "execution_count": 73
+   "execution_count": 210
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-09-25T18:59:06.977707Z",
-     "start_time": "2025-09-25T18:59:06.964852Z"
+     "end_time": "2025-09-25T21:43:58.987200Z",
+     "start_time": "2025-09-25T21:43:57.635944Z"
     }
    },
    "cell_type": "code",
    "source": [
     "# Example preparation and usage\n",
-    "P = prepare_prob_matrix(df_probs, tokens)\n",
+    "P = prepare_prob_matrix(transitions_male['df_probs'], tokens)\n",
     "generated_var = [generate_name(P, token_to_idx, idx_to_token, min_len=5, max_len=12, temperature=0.5) for _ in range(10)]\n",
     "\n",
-    "display(pd.DataFrame(generated_var, columns=[\"name\"]))"
+    "names = pd.DataFrame(generated_var, columns=[\"name\"])"
    ],
    "id": "a01eb547985d5a62",
+   "outputs": [],
+   "execution_count": 212
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-09-25T21:44:03.354829Z",
+     "start_time": "2025-09-25T21:44:03.336042Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "names",
+   "id": "c5bcbff0204ceaa4",
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "       name\n",
-       "0    Mbamba\n",
-       "1  Ngokanga\n",
-       "2  Mimbango\n",
-       "3     Mundo\n",
-       "4    Musona\n",
-       "5     Bonda\n",
-       "6  Kanganga\n",
-       "7     Zandi\n",
-       "8   Vulunda\n",
-       "9    Mbangu"
+       "        name\n",
+       "0    Tolemba\n",
+       "1    Kalanga\n",
+       "2      Mbayo\n",
+       "3     Kukasa\n",
+       "4     Kadamu\n",
+       "5  Bongalula\n",
+       "6      Kanga\n",
+       "7   Mangonga\n",
+       "8   Kayalela\n",
+       "9      Mbalo"
       ],
       "text/html": [
        "<div>\n",
@@ -2288,57 +1650,174 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Mbamba</td>\n",
+       "      <td>Tolemba</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>Ngokanga</td>\n",
+       "      <td>Kalanga</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Mimbango</td>\n",
+       "      <td>Mbayo</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Mundo</td>\n",
+       "      <td>Kukasa</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Musona</td>\n",
+       "      <td>Kadamu</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>Bonda</td>\n",
+       "      <td>Bongalula</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>Kanganga</td>\n",
+       "      <td>Kanga</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>Zandi</td>\n",
+       "      <td>Mangonga</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>Vulunda</td>\n",
+       "      <td>Kayalela</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>Mbangu</td>\n",
+       "      <td>Mbalo</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ]
      },
+     "execution_count": 213,
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "execute_result"
     }
    ],
-   "execution_count": 78
+   "execution_count": 213
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-09-25T21:44:29.411892Z",
+     "start_time": "2025-09-25T21:44:29.403639Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "P = prepare_prob_matrix(transitions_female['df_probs'], tokens)\n",
+    "generated_var = [generate_name(P, token_to_idx, idx_to_token, min_len=5, max_len=12, temperature=0.5) for _ in range(10)]\n",
+    "\n",
+    "names = pd.DataFrame(generated_var, columns=[\"name\"])"
+   ],
+   "id": "5d5ec37da189b7a8",
+   "outputs": [],
+   "execution_count": 216
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-09-25T21:44:33.290488Z",
+     "start_time": "2025-09-25T21:44:33.284314Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "names",
+   "id": "f9da3dad4317ac10",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "          name\n",
+       "0        Ngone\n",
+       "1        Kandi\n",
+       "2     Kangonga\n",
+       "3  Dangangandi\n",
+       "4       Kukale\n",
+       "5        Mando\n",
+       "6       Kasaba\n",
+       "7        Mambo\n",
+       "8     Mpolanga\n",
+       "9      Kangena"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Ngone</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Kandi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Kangonga</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Dangangandi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Kukale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Mando</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Kasaba</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Mambo</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Mpolanga</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Kangena</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 217,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 217
   },
   {
    "metadata": {},
@@ -2346,7 +1825,7 @@
    "outputs": [],
    "execution_count": null,
    "source": "",
-   "id": "f9da3dad4317ac10"
+   "id": "c0524e989ea1c7b9"
   }
  ],
  "metadata": {