« Pandas
We can create one DataFrame by using dictionary or by reading any Excel or reading CSV file. We will display the column names of this dataframe here.
By using columns
import pandas as pd
my_dict={'NAME':['Ravi','Raju','Alex','Ron','King','Jack'],
'ID':[1,2,3,4,5,6],
'MATH':[80,40,70,70,60,30],
'ENGLISH':[80,70,40,50,60,30]}
my_data = pd.DataFrame(data=my_dict)
print(my_data.columns) # Object
Output
Index(['NAME', 'ID', 'MATH', 'ENGLISH'], dtype='object')
Getting any perticular column
print(my_data.columns[2]) # Math
By using keys()
print(my_data.keys())
Output
Index(['NAME', 'ID', 'MATH', 'ENGLISH'], dtype='object')
By using for loop
for cols in my_data.columns:
print(cols)
Output
NAME
ID
MATH
ENGLISH
By using list
print(list(my_data.columns))
Output
['NAME', 'ID', 'MATH', 'ENGLISH']
By using tolist()
print(my_data.columns.values.tolist())
Output
['NAME', 'ID', 'MATH', 'ENGLISH']
« Pandas « DataFrame
describe() head() rename()