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# pandas.DataFrame.iterrows

`DataFrame.``iterrows`()

  Iterate over rows of DataFrame as (index, Series) pairs.

  Returns : | it : generator A generator that iterates over the rows of the frame.

  Notes

  - `iterrows` does not preserve dtypes across the rows (dtypes are preserved across columns for DataFrames). For example,

        >>> df = DataFrame([[1, 1.0]], columns=['x', 'y'])
        >>> row = next(df.iterrows())[1]
        >>> print(row['x'].dtype)
        float64
        >>> print(df['x'].dtype)
        int64

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