df.resampe for 15 minute incremenets in python between 11 and 12 hour marks in python

To resample a DataFrame for 15-minute increments between 11 and 12-hour marks, you can use the resample function from the pandas library. Here's an example:

main.py
import pandas as pd

# Assuming you have a DataFrame called `df` with a datetime index
# and a column called 'value'

# Resample for 15-minute increments between 11 and 12 hour marks
df_resampled = df.resample('15T').mean().between_time('11:00:00', '12:00:00')

print(df_resampled)
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In the code above, we first use df.resample('15T') to resample the DataFrame into 15-minute intervals. Then, we use the .between_time('11:00:00', '12:00:00') method to filter the resampled DataFrame to only include data between 11:00:00 and 12:00:00.

Note that for this to work, the DataFrame must have a datetime index. Also, you may choose a different resampling method, such as sum(), max(), or min(), depending on your specific requirements.

Make sure to replace 'value' with the actual name of the column you want to resample.

I hope this helps! Let me know if you have any further questions.