If any of the labels is not found in the selected axis and “errors=’raise’”. Returns DataFrame with the renamed axis labels. If ‘ignore’,Įxisting keys will be renamed and extra keys will be ignored. If ‘raise’, raise a KeyError when a dict-like mapper, index, or columnsĬontains labels that are not present in the Index being transformed. In case of a MultiIndex, only rename labels in the specified level. Can be either the axis name (‘index’, ‘columns’) or Here we can pass in a dictionary to the columns. axis int or str, default ‘index’Īxis to target with mapper. The first method of renaming columns within a pandas dataframe we will look at is the. columns dict-like or functionĪlternative to specifying axis (“mapper, axis=1” is equivalent to “columns=mapper”). Use either mapper and axis to specify the axis to target with mapper, or indexĪlternative to specifying axis (“mapper, axis=0” is equivalent to “index=mapper”). Parameters mapper dict-like or functionĭict-like or functions transformations to apply to that axis’ values. The new name replaces the corresponding old name of the column in the data frame. The columns of the data frame can be renamed by specifying the new column names as a vector. Extra labels listed don’t throw an error. Method 1: using colnames () method colnames () method in R is used to rename and replace the column names of the data frame in R.
rename ( mapper : Union, Any], None] = None, index : Union, Any], None] = None, columns : Union, Any], None] = None, axis : Union = 'index', inplace : bool = False, level : Optional = None, errors : str = 'ignore' ) → Optional ¶įunction / dict values must be unique (1-to-1). import pandas as pd import numpy as np dfpd.readcsv('demofile.csv') print('The dataframe is:') print(df) print('The original column names are:') print(df.columns. Print(" THE CORE DATAFRAME AFTER RENAME OPERATION ") If you want to rename multiple columns in the dataframe, you can pass the old column names and new column names in the dictionary as follows. Print(" THE CORE DATAFRAME BEFORE RENAME OPERATION ") to achieve this capability to flexibly travel over a dataframe the axis value is framed on below means ,) The value specified in this argument represents either a column position or a row position in the dataframe. This argument represents the column or the axis upon which the Rename() function needs to be applied on. So every rename values which are mentioned here will be applied to the column names of the dataframe. This is again an another alternative to the argument axis ( mapper, axis=1 ), Here columns as the name suggest it represents the columns of the dataframe. So every rename values which are mentioned here will be applied to the rows of the dataframe. This is an alternative to the argument axis ( mapper, axis=0 ), Here Index represents the rows of the dataframe. The description of this argument is explained below separately.
The axis argument here mentions whether the change is for the column or the index. When using the Mapper argument it needs to be combined with the axis argument. The above dictionary when passed in the rename function it implies that the value ‘A’ in either the column or the index needs to be replaced as Header1 and similarly the column or index with value ‘B’ needs to be replaced with the new value ‘Header2’. The mapper argument usually takes values in the form of a dictionary.
The mapper holds the values which needs to be replaced and their replacement values, So the old value and the corresponding new value which needs to be replaced will be specified here.
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Web development, programming languages, Software testing & others DataFrame.rename(self, mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False, level=None, errors='ignore') Parameter & Description of Pandas DataFrame.rename()īelow are the parameters of Pandas DataFrame.rename() in Python: Parameter
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