我有一个熊猫DataFrame:
df.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 32656 entries, 94418 to 2
Data columns (total 8 columns):
customer_id 32656 non-null object
session_id 32656 non-null int64
start 32656 non-null datetime64[ns, America/Los_Angeles]
end 32656 non-null datetime64[ns, America/Los_Angeles]
length 32656 non-null timedelta64[ns]
category 32656 non-null object
rounded_start 32656 non-null datetime64[ns, America/Los_Angeles]
rounded_end 32656 non-null datetime64[ns, America/Los_Angeles]
dtypes: datetime64[ns, America/Los_Angeles](4), int64(1), object(2), timedelta64[ns](1)
memory usage: 2.2+ MB
我还创建了一个DateTimeIndex:
rng = pd.date_range(df['rounded_start'].min(), end=df['rounded_start'].max(), freq='5Min')
我如何将两个数据集联系在一起,以便可以在x轴上绘制范围内的每个点,并显示在此期间包含多少个类别的计数?