pandas select columns by name code example

Example 1: python - subset specific columns name in a dataframe

columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)

Example 2: how to pick out separate columns from the pandas dataframe object

df1 = df.iloc[:, 0:2] # If you want to do it by index. Remember that Python does not slice inclusive of the ending index.
df1 = df[['a', 'b']] ## if you want to do it b nae

Example 3: python: select specific columns in a data frame

df = df[["Column_Name1", "Column_Name2"]]

Example 4: pandas iloc select certain columns

dataframe.iloc[:,[1,2]]

Example 5: python select columns names from dataframe

# Import pandas package  
import pandas as pd  
    
# making data frame  
data = pd.read_csv("nba.csv")  
  
# iterating the columns 
for col in data.columns: 
    print(col)

Example 6: pandas reorder columns by name

#old df columns
df.columns
Index(['A', 'B', 'C', 'D'],dtype='***')
#new column format that we want to rearange
new_col = ['D','C','B','A'] #list of column name in order that we want

df = df[new_col]
df.columns
Index(['D', 'C', 'B', 'A'],dtype='***')
#new column order