To create a new table that identifies the maximum value and filters against a date in Python, we can use the Pandas library to manipulate and analyze data with SQL-like syntax.
First, we need to import the necessary libraries and read in our data:
main.py87 chars5 lines
Next, we can use the groupby()
function to group our data by date and find the maximum value for each date:
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Finally, we can filter the new table to only show values after a certain date:
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Now, filtered_df
contains a new table that identifies the maximum value and filters against a date.
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