How to use the meteomatics.rounding.get_num_decimal_places function in meteomatics

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github meteomatics / python-connector-api / meteomatics / View on Github external
for _ in range(num_payloads_per_forecast):
            for lat in lats:
                values = binary_reader.get(value_data_type, num_lon)
                dict_data[lat] = values

        df = pd.DataFrame.from_items(dict_data.items(), orient="index", columns=lons)
        df = df.replace(NA_VALUES, float('NaN'))
        df = df.sort_index(ascending=False) = 'lat' = 'lon'

        if parameter_grid is not None and parameter_grid.endswith(":sql"):
            df = df.apply(parse_date_num, axis='index')
            df = df.round(rounding.get_num_decimal_places(parameter_grid))

        if num_forecasts == 1:
            return df
            dates_dict[dt.datetime.utcfromtimestamp(forecast_date_ux)] = df.copy()

    return dates_dict