To modify the column names using the index number and rename() method, we will first obtain the array of column names using the columns.values attribute of the dataframe. After execution, the rename() method returns a new dataframe with the modified column names. If ‘ignore’, existing keys will be renamed and extra keys will beĭataFrame with the renamed axis labels or None if inplace=True. The new column names should be the values associated with the original keys. You can assign the new index name to the nameattribute of the index object to rename the series index as shown below. To rename the index of the series, you can use the nameattribute of the series index object. Or columns contains labels that are not present in the Index Rename Index in a Pandas Series Using the index Attribute When a series is created, the name of the index is empty. Length of names must match number of levels in MultiIndex. This article describes the following contents. rename (name, inplace False) source Alter Index or MultiIndex name. You can also rename index names (labels) of pandas.Series in the same way. Reset the index of the DataFrame, and use the default one instead. You can rename (change) column/index names of pandas.DataFrame by using rename (), addprefix (), addsuffix (), setaxis () methods or updating the columns / index attributes. If ‘raise’, raise a KeyError when a dict-like mapper, index, pandas 1.5.2 documentation DataFrame.resetindex(levelNone,, dropFalse, inplaceFalse, collevel0, colfill'', allowduplicatesNoDefault.nodefault, namesNone) source Reset the index, or a level of it. You should remove it with df.columns. columns dict-like or functionĪlternative to specifying axis ( mapper, axis=1 you need to access the index's properties df.index.name 'id' original student count summary 0 error 6 1 yes 1 2 no 1 3 other 9 fixed df: student count id 0 error 6 1 yes 1 2 no 1 3 other 9 Update: seems like you had a name for the column's index. Specify the axis to target with mapper, or index andĪlternative to specifying axis ( mapper, axis=0 Parameters mapper dict-like or functionĭict-like or function transformations to apply to Keep in mind that this produces a copy of the dataframe with renamed index values and should be assigned to a variable name in order to make it persist. Labels not contained inĪ dict / Series will be left as-is. rename ( mapper = None, *, index = None, columns = None, axis = None, copy = None, inplace = False, level = None, errors = 'ignore' ) #įunction / dict values must be unique (1-to-1). We can use df.index.rename () to rename the index: rename index df.index.rename('newindex', inplaceTrue) view updated DataFrame df points assists rebounds newindex 0 25 5 11 1 12 7 8 2 15 7 10 3 14 9 6 4 19 12 6 5 23 9 5 6 25 9 9 7 29 4 12.
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