How Can I Sort a Pandas DataFrame by a Specific Column?
Sorting Pandas DataFrame by One Column
Sorting a Pandas DataFrame can be crucial for organizing and analyzing data. This post explores a method to sort a DataFrame based on the values in a specific column, illustrated through an example.
Consider the following DataFrame with a column named "month_number" containing months represented by numbers from 1 to 12:
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To sort this DataFrame by the "month_number" column, we can use the sort_values method. Here's how:
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The sorted_df now contains the rows sorted in ascending order based on the values in the "month_number" column:
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We can also sort the DataFrame by multiple columns using a list of column labels. For example, to sort by "month_number" first and then by "column 0", we can use:
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