Need to filter dates by month in pandas dataframe

Question

Have data on temperature that spans multiple years in 2010-01-01 format. I want to isolate the temps from June and am unsure how to filter this. Typically the method I use would be df[df['date'] == 2016] but this only parses out by year.

Answer 1

IIUC, you can use a datetime method ontop of your datetime to access the month

impot pandas as pd
rng = pd.date_range('2010-01-01','2011-01-01',freq='D')
df = pd.DataFrame({'dates':rng})

Print Head of DataFrame.

print(df.head(5))
     dates
0 2010-01-01
1 2010-01-02
2 2010-01-03
3 2010-01-04
4 2010-01-05

use a .loc accessor to filter the dataframe with a dt.month method:

df.loc[df['dates'].dt.month == 2]
     dates
31 2010-02-01
32 2010-02-02
33 2010-02-03
34 2010-02-04
35 2010-02-05
36 2010-02-06

Ensure your date is a proper datetime object by using pd.to_datetime

use print(df.dtypes) to check the datatypes.

Answer 2

您可以使用方法dt.month_name()

df[df['date'].dt.month_name() == 'June']