6 examples of 'pandas dataframe column names to lower' in Python

420
def df_column_types_rename(df):
421
    result = [df[x].dtype.name for x in list(df.columns)]
422
    result[:] = [x if x != 'object' else 'string' for x in result]
423
    result[:] = [x if x != 'int64' else 'integer' for x in result]
424
    result[:] = [x if x != 'float64' else 'double' for x in result]
425
    result[:] = [x if x != 'bool' else 'boolean' for x in result]
426
427
    return result

684
def upper(self, col):
685
    return self._str_method(str.upper, col)

658
def isupper(self, col):
659
    return self._str_method(str.isupper, col)

62
def matchColumnNames(df):
63
    return df.rename(
64
        columns={
65
            "id": "vehicle_id",
66
            "heading": "direction",
67
            "secsSinceReport": "seconds_since_report",
68
            "lat": "latitude",
69
            "lon": "longitude",
70
            "routeTag": "line"
71
        }
72
    )

80
def _clean_columns(df, keep_colnames):
81
    new_colnames = []
82
    for i,colname in enumerate(df.columns):
83
        if colname not in keep_colnames:
84
            new_colnames.append(i)
85
        else:
86
            new_colnames.append(colname)
87
    return new_colnames

39
def _drop_col(self, df):
40
    '''
41
    Drops last column, which was added in the parsing procedure due to a
42
    trailing white space for each sample in the text file
43
    Arguments:
44
        df: pandas dataframe
45
    Return:
46
        df: original df with last column dropped
47
    '''
48
    return df.drop(df.columns[-1], axis=1)