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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def write_csvs(self, asset_map, show_progress=False, invalid_data_behavior='warn'):
 """Read CSVs as DataFrames from our asset map. Parameters asset_map : dict[int -> str] A mapping from asset id to file path with the CSV data for that asset show_progress : bool Whether or not to show a progress bar while writing. invalid_data_behavior : {'warn', 'raise', 'ignore'} What to do when data is encountered that is outside the range of a uint32. """

        read = partial(
            read_csv,
            parse_dates=['day'],
            index_col='day',
            dtype=self._csv_dtypes,
        )
        return self.write(
            ((asset, read(path)) for asset, path in iteritems(asset_map)),
            assets=viewkeys(asset_map),
            show_progress=show_progress,
            invalid_data_behavior=invalid_data_behavior,
        )