PYTHON

list columns in pandas df

# Import pandas package 
import pandas as pd 
    
# making data frame 
data = pd.read_csv("nba.csv") 
    
# list(data) or
list(data.columns)

pandas dataframe lists as columns

In [8]: data = pd.DataFrame({'x': x, 'sin(x)': y})
In [9]: data
Out[9]: 
          x        sin(x)
0  0.000000  0.000000e+00
1  0.349066  3.420201e-01
2  0.698132  6.427876e-01
3  1.047198  8.660254e-01
4  1.396263  9.848078e-01
5  1.745329  9.848078e-01
6  2.094395  8.660254e-01
7  2.443461  6.427876e-01
8  2.792527  3.420201e-01
9  3.141593  1.224647e-16

[10 rows x 2 columns]

column of lists pandas

# new df from the column of lists
split_df = pd.DataFrame(df['Values'].tolist(), columns=['v1', 'v2', 'v3'])
# concat df and split_df
df = pd.concat([df, split_df], axis=1)
# display df
df