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Pandas Reset Index

Pandas Reset Index with What is Python Pandas, Reading Multiple Files, Null values, Multiple index, Application, Application Basics, Resampling, Plotting the data, Moving windows functions, Series, Read the file, Data operations, Filter Data etc.

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Reset Index

The Reset index of the DataFrame is used to reset the index by using the 'reset_index' command. If the DataFrame has a MultiIndex, this method can remove one or more levels.

Syntax:

DataFrame.reset_index(self, level=None, drop=False, inplace=False, col_level=0, col_fill='')

Parameters:

level : Refers to int, str, tuple, or list, default value None

It is used to remove the given levels from the index and also removes all levels by default.

drop : Refers to Boolean value, default value False

It resets the index to the default integer index.

inplace : Refers to Boolean value, default value False

It is used to modify the DataFrame in place and does not require to create a new object.

col_level : Refers to int or str, default value 0

It determines level the labels are inserted if the column have multiple labels

col_fill : Refers to an object, default value ''

It determines how the other levels are named if the columns have multiple level.

Example1:

info = pd.DataFrame([('William', 'C'),
('Smith', 'Java'),
('Parker', 'Python'),
('Phill', np.nan)],
index=[1, 2, 3, 4],
columns=('name', 'Language'))
info
info.reset_index()

Output:

  index   name    Language
0	1    William    C
1	2    Smith     Java
2	3    Parker    Python
3	4    Phill     NaN

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