pandas进行时间数据的转换和计算时间差并提取年月日

#读取数据import pandas as pddata = pd.read_csv('police.csv') #将stop_date转化为datetime的格式的dataframe，存到stop_datetimedata['stop_datetime'] = pd.to_datetime(data.stop_date')

data_new = pd.to_datetime('2006-01-01')data['time_d'] = time_new - data.stop_datetimedata['time_d'].head()

data.stop_datetime.dt.year.value_counts()data.stop_datetime.dt.month.value_counts()

#提取年data['year'] = data.stop_datetime.dt.yeardata['year'].head() #提取月份data['month'] = data.stop_datetime.dt.monthdata['month'].head() #提取日data['day'] = data.stop_datetime.dt.daydata['day'].head()

data['stop_time_datetime'] = pd.to_datetime(data.stop_time)data.groupby(data.stop_time_datetime.dt.hour).drugs_related_stop.sum().plot()