Reset_index pandas

df.reset_index(drop=True, inplace=True)

Source: stackoverflow.com

Reset index pandas

df.reset_index(drop=True)

Source: pandas.pydata.org

Numpy series reset index

>>> s.reset_index(inplace=True, drop=True)
>>> s
0    1
1    2
2    3
3    4
Name: foo, dtype: int64

Source: pandas.pydata.org

Reset_index(drop=true)

In [194]: df.reset_index(drop=True)
Out[194]:  _worker_id foo0     A  11     B  22     C  3

Source: stackoverflow.com

Example 1: Reset Index & Drop Old Index pandas

import pandas as pd

#define DataFrame
df = pd.DataFrame({'points': [25, 12, 15, 14, 19, 23, 25, 29],
                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],
                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]},
                   index=[0, 4, 3, 5, 2, 1, 7, 6])

#view DataFrame
print(df)

   points  assists  rebounds
0      25        5        11
4      12        7         8
3      15        7        10
5      14        9         6
2      19       12         6
1      23        9         5
7      25        9         9
6      29        4        12

Source: statology.org

Pandas reset index

df.reset_index(
  drop=True, # to avoid the old index being added as a column
  inplace=False) # (default) return df with the new index, i.e. do not create a new object

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