df.reset_index(drop=True, inplace=True)
import pandas as pd
# Reset index
df = df.reset_index()
# Display DataFrame
print(df)
df.reset_index(drop=True)
#reset index
df.reset_index(drop=True, inplace=True)
#view updated DataFrame
print(df)
points assists rebounds
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
df.reset_index()
How to convert index of a pandas dataframe into a column
df = df.reset_index(level=0)
df['index1'] = df.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
df.reset_index(drop = True, inplace = True)
import pandas as pd
data = {'Name': ['Bob', 'Dilan', 'is ', 'alive', '!']}
index = {'a', 'b', 'c', 'd', 'e'}
df = pd.DataFrame(data, index)
df
Name
b Bob
a Dilan
d is
c alive
e !
df.reset_index(inplace = True)
df
index Name
0 b Bob
1 a Dilan
2 d is
3 c alive
4 e !
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