Find the minimum date in a Pandas DataFrame

To find the minimum date in a Pandas DataFrame, you can use the DataFrame.min method along with the to_datetime function to convert the date column to a datetime data type.

For example, given a DataFrame df with a column date containing dates in the format YYYY-MM-DD, you can find the minimum date using the following code:

import pandas as pd

# Convert the date column to datetime
df['date'] = pd.to_datetime(df['date'])

# Find the minimum date
min_date = df['date'].min()

This will output the minimum date as a Pandas Timestamp object. You can use the strftime method to format the date as a string if needed. For example:

min_date_str = min_date.strftime('%Y-%m-%d')