原文链接：https://www.jianshu.com/p/f773b4b82c66
value_counts()是一种查看表格某列中有多少个不同值的快捷方法，并计算每个不同值有在该列中有多少重复值。
value_counts()是Series拥有的方法，一般在DataFrame中使用时，需要指定对哪一列或行使用，该函数返回的也是Series类型，且index为该列的不同值，values为不同值的个数
1 import pandas as pd 2 import numpy as np 3 filepath=‘C:\python\data_src\GFSCOFOG_03-05-2018 03-04-36-54_timeSeries\GFSCOFOG_CHA.csv‘ 4 data = pd.read_csv(filepath,encoding=‘utf-8‘)
数据样例如下图所示
data[‘Unit Name‘].value_counts()
1 data[‘Unit Name‘].value_counts() 2 #输出 3 Percent of GDP 3561 4 Domestic currency 3561 5 Percent of total expenditure 470 6 Name: Unit Name, dtype: int64
data[‘Sector Name‘].value_counts()
1 data[‘Sector Name‘].value_counts() 2 #输出结果 3 Extrabudgetary central government 1020 4 Social security funds 1002 5 Central government (incl. social security funds) 944 6 Budgetary central government 944 7 Local governments 944 8 General government 944 9 Central government (excl. social security funds) 944 10 State governments 850 11 Name: Sector Name, dtype: int64
原文：https://www.cnblogs.com/loubin/p/11297654.html