CODEWITHSUNDEEP
pythonpandasdatetimedate-range
pwprnt
pwprnt

Reputation: 561

Make date_range of hourly frequency over multiple years for a selected month

I understand how to make a date_range in pandas using the freq option. However, I do not know how to use it to do two frequencies at once (or do I need a loop for this)?

I am trying to make an hourly date range for only july for a span over some years.

I have tried:

In:  pd.date_range('1951-07-01','1955-07-01',freq='AS')
Out: DatetimeIndex(['1952-01-01', '1953-01-01', '1954-01-01', '1955-01-01'], dtype='datetime64[ns]', freq='AS-JAN')

And also the hourly frequency.. But what I want is a date range that spans over multiple years, but only an hourly frequency for the month of july.

I do not want any months other than july in my date_range.

Any hints are appreciated, and if a loop is necessary?

Upvotes: 1

Views: 1258

Answers (1)

jezrael
jezrael

Reputation: 862701

You can create hours frequency with start and end year and then filter only julys:

d = pd.date_range('1951-07-01','1955-07-01',freq='H')

d = d[d.month == 7]
print (d)
DatetimeIndex(['1951-07-01 00:00:00', '1951-07-01 01:00:00',
               '1951-07-01 02:00:00', '1951-07-01 03:00:00',
               '1951-07-01 04:00:00', '1951-07-01 05:00:00',
               '1951-07-01 06:00:00', '1951-07-01 07:00:00',
               '1951-07-01 08:00:00', '1951-07-01 09:00:00',
               ...
               '1954-07-31 15:00:00', '1954-07-31 16:00:00',
               '1954-07-31 17:00:00', '1954-07-31 18:00:00',
               '1954-07-31 19:00:00', '1954-07-31 20:00:00',
               '1954-07-31 21:00:00', '1954-07-31 22:00:00',
               '1954-07-31 23:00:00', '1955-07-01 00:00:00'],
              dtype='datetime64[ns]', length=2977, freq=None)

Upvotes: 2

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