PYTHON

select DF columns python

df = df.iloc[:,0:2]
df = df[['column1', 'column2']]

select columns from dataframe pandas

df = df.iloc[:,0:2] # this selects first two columns
df = df[['column1', 'column2']]

select columns pandas

df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.

select column in pandas dataframe

Report_Card.loc[:,"Grades"] The first argument ( : ) signifies which rows we would like
to index, and the second argument (Grades) lets us index the column we want

Select a Column in pandas data Frame

>>> import pandas as pd>>> df = pd.read_csv('data/sample_data.csv', index_col=0)>>> df

Select a Column in pandas data Frame notation

df.favorite food

select column from a dataframe python pandas lib

# import pandas
import pandas as pd
  
# List of Tuples
employees = [('Stuti', 28, 'Varanasi', 20000),
            ('Saumya', 32, 'Delhi', 25000),
            ('Aaditya', 25, 'Mumbai', 40000),
            ('Saumya', 32, 'Delhi', 35000),
            ('Saumya', 32, 'Delhi', 30000),
            ('Saumya', 32, 'Mumbai', 20000),
            ('Aaditya', 40, 'Dehradun', 24000),
            ('Seema', 32, 'Delhi', 70000)
            ]
  
# Create a DataFrame object from list 
df = pd.DataFrame(employees, 
                columns =['Name', 'Age', 
                         'City', 'Salary'])
# Show the dataframe
df