Python | Filtering data by dates in python

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Slicing by dates

Slicing by dates in Python is a common task when working with time series data. Here's an example of how to slice a pandas DataFrame by date range:

import pandas as pd

# Create a sample DataFrame

df = pd.DataFrame({

'date': pd.date_range('2022-01-01', '2022-01-10'),

'value': range(10)

})

# Set the date column as the index

df = df.set_index('date')

# Slice the DataFrame by date range

start_date = '2022-01-03'

end_date = '2022-01-07'

sliced_df = df.loc[start_date:end_date]

# Print the sliced DataFrame

print(sliced_df)

In this example, we create a sample DataFrame with a date column and a value column. We then set the date column as the index using the set_index method. We can then slice the DataFrame by specifying a start date and an end date using the loc method. Finally, we print the sliced DataFrame to the console.

This will output the following:

value

date

2022-01-03 2

2022-01-04 3

2022-01-05 4

2022-01-06 5

2022-01-07 6

This shows us that the DataFrame has been sliced to include only rows with dates between start_date and end_date.