Pandas Series property: dt.is_quarter_start

Series.dt.is_quarter_start property

The is_quarter_start property is used to check whether a given date is the first day of a quarter or not.

Syntax:

Series.dt.is_quarter_start

Returns: is_quarter_start : Series or DatetimeIndex
The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
df = pd.DataFrame({'dates': pd.date_range("2019-03-30",
                  periods=4)})
df.assign(quarter=df.dates.dt.quarter,
          is_quarter_start=df.dates.dt.is_quarter_start)

Output:

       dates	quarter	is_quarter_start
0	2019-03-30   	1        	False
1	2019-03-31  	1       	False
2	2019-04-01  	2        	True
3	2019-04-02  	2        	False

Python-Pandas Code:

import numpy as np
import pandas as pd
idx = pd.date_range('2019-03-30', periods=4)
idx

Output:

DatetimeIndex(['2019-03-30', '2019-03-31', '2019-04-01', '2019-04-02'], dtype='datetime64[ns]', freq='D')

Python-Pandas Code:

import numpy as np
import pandas as pd
idx = pd.date_range('2019-03-30', periods=4)
idx.is_quarter_start

Output:

array([False, False,  True, False])

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