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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...\n", datetimeindex)
Check whether the date in DateTimeIndex is the first day of the quarter −
print("\nCheck whether the date in DateTimeIndex is the first day of the quarter...\n", 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...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", 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("\nCheck whether the date in DateTimeIndex is the first day of the quarter...\n", 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]
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