How important is it to keep the special characters in the dataset? If ds_get() can't change its encoding (which it seems like maybe it can't?) you could do some ETL before going to pydomo to strip out all the characters that don't work with UTF-8 encoding.

I think you could regex replace this with blanks to remove all non-unicode characters: "[^\\u0000-\\u007f]+"

the ds_get function doesn't allow for any encoding other than the default utf8. Two options here:

1. Override the Domo class and write your own ds_get function to handle the latin1 encoding you have
2. Bypass using the ds_get and just call the dataset.data_export function to return the data, then call pandas read_csv on your csv string and pass in the encoding='latin1' as a parameter.

Here's a modified ds_get function:

def ds_get(self, dataset_id, encoding='utf-8'):
    """
        Export data to pandas Dataframe

        >>> df = domo.ds_get('80268aef-e6a1-44f6-a84c-f849d9db05fb')
        >>> print(df.head())

        :Parameters:
        - `dataset_id`:     id of a dataset (str)

        :Returns:
        pandas dataframe
    """
    csv_download = self.datasets.data_export(dataset_id, include_csv_header=True)

    content = StringIO(csv_download)
    df = read_csv(content, encoding=encoding)

    # Convert to dates or datetimes if possible
    for col in df.columns:
        if df[col].dtype == 'object':
            try:
                df[col] = to_datetime(df[col])
            except ValueError:
                pass
            except TypeError:
                pass

    return df