Pandas - How to sort a dataframe by a column?

To sort a Pandas DataFrame by a column, use sort_values().

Here are the common usages:

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1. Sort by one column

df_sorted = df.sort_values(by="column_name")

• Default is ascending order.

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2. Sort descending

df_sorted = df.sort_values(by="column_name", ascending=False)

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3. Sort by multiple columns

df_sorted = df.sort_values(by=["col1", "col2"])

Specify ascending/descending for each column:

df_sorted = df.sort_values(
    by=["col1", "col2"],
    ascending=[True, False]  # col1 asc, col2 desc
)

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4. Sort and update the original DataFrame

df.sort_values(by="column_name", inplace=True)

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5. Handle NaN positions

df.sort_values(by="column_name", na_position="first")

• Default is "last".