Python Pandas - Indicate whether the date in DateTimeIndex is the first day of the quarter

To check whether the date in DateTimeIndex is the first day of the quarter, use the DateTimeIndex.is_quarter_start property.

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 6 and frequency as D i.e. days −

datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D')

Display DateTimeIndex −

print("DateTimeIndex...
", datetimeindex)

Check whether the date in DateTimeIndex is the first day of the quarter −

print("
Check whether the date in DateTimeIndex is the first day of the quarter...
",
datetimeindex.is_quarter_start)

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 6 and frequency as D i.e. days
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D')

# display DateTimeIndex
print("DateTimeIndex...
", datetimeindex)

# display DateTimeIndex frequency
print("DateTimeIndex frequency...
", datetimeindex.freq)

# Check whether the date in DateTimeIndex is the first day of the quarter
# Result is based on the following quarters of an year:
# Quarter 1 = 1st January to 31st March
# Quarter 2 = 1st April to 30th June
# Quarter 3 = 1st July to 30th September
# Quarter 4 = 1st October to 31st December
print("
Check whether the date in DateTimeIndex is the first day of the quarter...
",
datetimeindex.is_quarter_start)

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-01 02:30:50+09:30', '2021-10-31 02:30:50+10:30',
'2021-11-30 02:30:50+10:30', '2021-12-30 02:30:50+10:30',
'2022-01-29 02:30:50+10:30', '2022-02-28 02:30:50+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq='30D')
DateTimeIndex frequency...
<30 * Days>

Check whether the date in DateTimeIndex is the first day of the quarter...
[ True False False False False False]

AmitDiwan

Updated on 18-Oct-2021 12:47:02

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