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{ | |
"cells": [ | |
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"metadata": { | |
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"cell_type": "code", | |
"source": "# Convert to ratio of each row sum\np_cnt_ratio_df = df.div(df.sum(1), axis =0)\np_cnt_ratio_df", | |
"execution_count": 3, | |
"outputs": [ | |
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"output_type": "execute_result", | |
"execution_count": 3, | |
"data": { | |
"text/plain": " b g r\n0 0.260417 0.250000 0.489583\n1 0.248227 0.283688 0.468085\n2 0.388186 0.303797 0.308017\n3 0.402878 0.316547 0.280576\n4 0.418079 0.175141 0.406780", | |
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}, | |
{ | |
"metadata": { | |
"trusted": true | |
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"cell_type": "code", | |
"source": "# Do a cum sum along the row\nratio_cum_df = p_cnt_ratio_df.cumsum(axis=1)\nratio_cum_df", | |
"execution_count": 4, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"execution_count": 4, | |
"data": { | |
"text/plain": " b g r\n0 0.260417 0.510417 1.0\n1 0.248227 0.531915 1.0\n2 0.388186 0.691983 1.0\n3 0.402878 0.719424 1.0\n4 0.418079 0.593220 1.0", | |
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