Python Pandas - Return index locations of values at particular time of day in DateTimeIndex

PythonServer Side ProgrammingProgramming

To return index locations of values at particular time of day in DateTimeIndex, use the DateTimeIndex.indexer_at_time() method.

At first, import the required libraries −

import pandas as pd

Create DatetimeIndex with period 5 and frequency as T i.e. minutes −

datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=5, tz='Australia/Adelaide', freq='20T')

Display DateTimeIndex −

print("DateTimeIndex...\n", datetimeindex)

Display index locations of values at particular time of day i.e. 03:10:50 here −

print("\nIndex locations of values at particular time of day...\n",
datetimeindex.indexer_at_time('2021-10-30 03:10:50'))

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 5 and frequency as T i.e. minutes
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-30 02:30:50', periods=5, tz='Australia/Adelaide', freq='20T')

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

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

# display index locations of values at particular time of day i.e. 03:10:50 here
print("\nIndex locations of values at particular time of day...\n",
datetimeindex.indexer_at_time('2021-10-30 03:10:50'))

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-30 02:30:50+10:30', '2021-10-30 02:50:50+10:30',
'2021-10-30 03:10:50+10:30', '2021-10-30 03:30:50+10:30',
'2021-10-30 03:50:50+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq='20T')
DateTimeIndex frequency...
<20 * Minutes>

Index locations of values at particular time of day...
[2]
raja
Updated on 18-Oct-2021 12:58:04

Advertisements