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Python Pandas - Indicate whether the date in DateTimeIndex is the first day of the month
To check whether the date in DateTimeIndex is the first day of the month, use the DateTimeIndex.is_month_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. The timezone is Australia/Adelaide −
datetimeindex = pd.date_range('2021-9-21 02:30:50', periods=6, tz='Australia/Adelaide', freq='5D')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)Check whether the date in DateTimeIndex is the first day of the month −
print("\nCheck whether the date in DateTimeIndex is the first day of the month...\n",
datetimeindex.is_month_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('2021-9-21 02:30:50', periods=6, tz='Australia/Adelaide', freq='5D')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# Check whether the date in DateTimeIndex is the first day of the month
print("\nCheck whether the date in DateTimeIndex is the first day of the month...\n",
datetimeindex.is_month_start)Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-09-21 02:30:50+09:30', '2021-09-26 02:30:50+09:30', '2021-10-01 02:30:50+09:30', '2021-10-06 02:30:50+10:30', '2021-10-11 02:30:50+10:30', '2021-10-16 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='5D') DateTimeIndex frequency... <5 * Days> Check whether the date in DateTimeIndex is the first day of the month... [False False True False False False]
Updated on: 18-Oct-2021
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