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

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420def 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]
427 return result

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684def upper(self, col):
685 return self._str_method(str.upper, col)
658def isupper(self, col):
659 return self._str_method(str.isupper, col)
62def 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 )
80def _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
39def _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)

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