create dataframe with column names pandas
In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []create dataframe with column names pandas
In [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []pandas convert row names to column
# Basic syntax:
df.index.name = 'new_column_name'
df.reset_index(inplace=True)
# Example usage:
import pandas as pd
print(df)
head1 head2 head3
bar 32 3 100
bix 22 NaN NaN
foo 11 1 NaN
qux NaN 10 NaN
xoo NaN 2 20
df.index.name = 'new_column_name'
df.reset_index(inplace=True)
print(df)
new_column_name head1 head2 head3
0 bar 32 3 100
1 bix 22 NaN NaN
2 foo 11 1 NaN
3 qux NaN 10 NaN
4 xoo NaN 2 20name columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']Copyright © 2021 Codeinu
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