How can I filter a DataFrame in pandas?
You can use the DataFrame.loc
method or boolean indexing to filter rows based on conditions.
Can you show me an example of filtering rows where a column value is greater than a certain number?
Sure! If you have a DataFrame df
and you want to filter rows where the column 'A' is greater than 10, you can do:
filtered_df = df[df['A'] > 10]
What if I want to filter based on multiple conditions?
You can combine conditions using the &
(and) or |
(or) operators. For example:
filtered_df = df[(df['A'] > 10) & (df['B'] < 5)]
Is there a way to filter using a list of values?
Yes! You can use the isin()
method. For example:
filtered_df = df[df['A'].isin([1, 2, 3])]
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