Pandas groupby 仅使用年份和月份

Question

我有一个使用 Pandas 的 Python 程序，它读取两个数据帧，在以下链接中获得：

Casos-positivos-diarios-en-San-Nicolas-de-los-Garza-Promedio-movil-de-7-dias：https://datamexico.org/es/profile/geo/san-nicolas-de-los-garza#covid19-evolucion

Denuncias-segun-bien-afectado-en-San-Nicolas-de-los-GarzaClic-en-el-grafico-para-seleccionar：https://datamexico.org/es/profile/geo/san-nicolas-de-los-garza#seguridad-publica-denuncias

我目前想要做的是在具有相同日期的“covid”数据框中进行分组，并对这些数据求和。无论如何，没有任何方法可以解决，它会定期打印一个错误，指示我应该使用“PeriodIndex”的语法。有人有建议或解决方案吗？提前致谢。

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

%matplotlib notebook

#csv for the covid cases
covid = pd.read_csv('Casos-positivos-diarios-en-San-Nicolas-de-los-Garza-Promedio-movil-de-7-dias.csv')

#csv for complaints
comp = pd.read_csv('Denuncias-segun-bien-afectado-en-San-Nicolas-de-los-GarzaClic-en-el-grafico-para-seleccionar.csv')

#cleaning data in both dataframes

#keeping only the relevant columns
covid = covid[['Month','Daily Cases']]
comp = comp[['Month','Affected Legal Good', 'Value']]

#changing the labels from spanish to english
comp['Affected Legal Good'].replace({'Patrimonio': 'Heritage', 'Familia':'Family', 'Libertad y Seguridad Sexual':'Sexual Freedom and Safety', 'Sociedad':'Society', 'Vida e Integridad Corporal':'Life and Bodily Integrity', 'Libertad Personal':'Personal Freedom', 'Otros Bienes Jurídicos Afectados (Del Fuero Común)':'Other Affected Legal Assets (Common Jurisdiction)'}, inplace=True, regex=True)
#changing the month types to dates
covid['Month'] = pd.to_datetime(covid['Month'])
covid['Month'] = covid['Month'].dt.to_period('M')

covid

Answer 1

您可以简单地使用 group by statement.Timegrouper 默认情况下将其转换为 datetime

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

%matplotlib notebook

#csv for the covid cases
covid = pd.read_csv('Casos-positivos-diarios-en-San-Nicolas-de-los-Garza-Promedio-movil-de-7-dias.csv')


covid = covid.groupby(['Month'])['Daily Cases'].sum()
covid = covid.reset_index()
# #changing the month types to dates
covid['Month'] = pd.to_datetime(covid['Month'])
covid['Month'] = covid['Month'].dt.to_period('M')

covid

Pandas groupby 仅使用年份和月份

Pandas groupby using only year and month

python

datetime

dataframe

pandas