3 examples of 'renaming multiple columns in pandas' 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]
426
427 return result
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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 )
813def merge(old_cols, new_cols):
814 return old_cols + new_cols

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