Python to_dataframe Exemples

Exemple #1

            def adapt(self, collection, **context):
                df = collection.to_dataframe()
                df['b'] = 42  # add a column with some dataframe here

                return self.render_return(df,
                                          context_var='hep',
                                          other_context_var='tup')

Exemple #2

            def adapt(self, collection, **context):
                df = collection.to_dataframe()
                df['c'] = 43  # add a column c with some dataframe here

                return self.render_return(df,
                                          something_else='mups',
                                          some_thing='zups')

Exemple #3

def adapt_b_to_c_context_bad(collection, **context):
    df = collection.to_dataframe()
    df['c'] = 43  # add a column c with some dataframe here
    return df, 'blah'

Exemple #4

def adapt_b_to_c(collection, **context):
    df = collection.to_dataframe()
    df['c'] = 43  # add a column c with some dataframe here
    return df, dict(something_else='mups', some_thing='zups')

Exemple #5

def adapt_a_to_b(collection, **context):
    df = collection.to_dataframe()
    df['b'] = 42  # add a column b with some dataframe here
    return df, {'context_var': 'hep', 'other_context_var': 'tup'}

Exemple #6

        def bogus_adapt(self, collection, **context):
            df = collection.to_dataframe()
            df['b'] = 42  # add a column with some dataframe here

            return df