Snapshot of `add_source` method from https://gist.github.com/schaunwheeler/9a98d8bee5f039e9872c76fb24a6e69c

method_add_source.py

"""
Code described in Medium post https://medium.com/@schaun.wheeler/codify-your-workflow-377f5f8bf4c3
Copyright (c) 2018 Valassis Digital under the terms of the BSD 3-Clause license.
"""


def add_source(self, data, label, column_name=None, **kwargs):
         
    # process data into x and y coordinates
    if type(data) == DataFrame:
        if column_name is None:
            raise ValueError('If data is a dataframe then column_name must be specified.')
        df = data.copy()
        keys = [c for c in df.columns if c != column_name]
    else:
        df = Series(data).to_frame('raw_data')
        keys = [k for k in kwargs.keys()]
        column_name = 'raw_data'
 
    df['processed_data'] = df[column_name].apply(self._process_input_value)
    df['x_coords'] = df['processed_data'].apply(lambda v: v[0])
    df['y_coords'] = df['processed_data'].apply(lambda v: v[1])
    df = df.drop([column_name, 'processed_data'], axis=1)
 
    # add kwargs as metadata
    vals = ['x_coords', 'y_coords']
    if len(keys) > 0:
        df2 = DataFrame(columns=keys + ['i'] + vals).set_index(keys + ['i'])
    else:
        df2 = DataFrame(columns=keys + ['i'] + vals).set_index('i', append=True)
         
    if len(kwargs) > 0:
        for k, v in kwargs.items():
            df[k] = v
        df = df.set_index(keys)
         
    # in cases where data inputs are multipolygons, split out into separate rows with metadata correctly associated
    for ind, row in df.iterrows():
        nrep = len(row['x_coords'])
        nrep_check = len(row['y_coords'])
        if nrep != nrep_check:
            raise AssertionError('X and Y coordinate lists are not equal in length.')
        for i in range(nrep):
            ind2 = (ind, i,) if type(ind) != tuple else ind + (i,)
            df2.loc[ind2, ['x_coords', 'y_coords']] = None, None
            df2.loc[ind2, ['x_coords', 'y_coords']] = row['x_coords'][i], row['y_coords'][i]
                
    self._set_coordinate_bounds(df2)
    self.sources[label] = ColumnDataSource(df2.reset_index().drop(['i'], axis=1))