熊猫-蟒蛇一栏累计百分比

原文:https://www.geesforgeks.org/累计-熊猫柱百分比-python/

累计百分比是通过将列的累计总和除以所有值的数学总和，然后将结果乘以 100 的数学公式计算出来的。这也适用于熊猫数据帧。 这里，预定义的 cumsum() 和 sum() 函数用于计算一列所有值的累计和和和。 语法:

df[cum_percent]= 100 *(df[' column_name ']。cumsum()/df['column_name']。sum())

例 1:

蟒蛇 3

import pandas as pd
import numpy as np

# Create a DataFrame
df1 = {
     'Name':['abc','bcd','cde','def','efg','fgh','ghi'],
   'Math_score':[52,87,49,74,28,59,48]}

df1 = pd.DataFrame(df1, columns=['Name','Math_score'])

# Computing Cumulative Percentage
df1['cum_percent'] = 100*(df1.Math_score.cumsum() / df1.Math_score.sum())

df1

输出:

例 2:

蟒蛇 3

import pandas as pd
import numpy as np

# Create a DataFrame
df1 = {
     'Name':['abc','bcd','cde','def','efg','fgh','ghi'],
   'Math_score':[52,87,49,74,28,59,48],
  'Eng_score':[34,67,25,89,92,45,86]
}

df1 = pd.DataFrame(df1,columns=['Name','Math_score','Eng_score'])

# Computing cumulative Percentage
df1['Eng_cum_percent'] = (df1.Eng_score.cumsum() / df1.Eng_score.sum()) * 100

df1

输出:

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