PYTHON

pandas get columns in list

df[df[_col_name_].isin([_list_of_names_])]

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)

dataframe column in list

In [1]: df = pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})

In [2]: df
Out[2]:
   A  B
0  5  1
1  6  2
2  3  3
3  4  5

In [3]: df[df['A'].isin([3, 6])]
Out[3]:
   A  B
1  6  2
2  3  3

get dataframe column into a list

df_gearME = pd.read_excel('Gear M&Es.xlsx')
df_gearME['ColA'].to_list()