熊猫date_range：下降纳秒

Question

I'm trying to create the following date range series with quarterly frequency:

import pandas as pd
pd.date_range(start = "1980", periods = 5, freq = 'Q-Dec')

Which returns

DatetimeIndex(['1980-03-31', '1980-06-30', '1980-09-30', '1980-12-31',
              '1981-03-31'],
              dtype='datetime64[ns]', freq='Q-DEC')

However, when I output this object to CSV I see the time portion of the series. eg

1980-03-31 00:00:00, 1980-06-30 00:00:00

Any idea how I can get rid of the time portion so when I export to a csv it just shows:

1980-03-31, 1980-06-30

Answer 1

You are not seeing nano-seconds, you are just seeing the time portion of the datetime that pandas has created for the DatetimeIndex . You can extract only the date portion with .date() .

Code:

import pandas as pd
dr = pd.date_range(start="1980", periods=5, freq='Q-Dec')

print(dr[0].date())

Results:

1980-03-31