PYTHON

get list of column names pandas

col_names = list(df.columns)

get a list of column names pandas

lists = data.columns.to_list()

python return column names of pandas dataframe

# Basic syntax:
your_dataframe.columns

# Note, if you want the column names as a list, just do:
list(your_dataframe.columns)

pd dataframe get column names

lst = data.columns.values     # data is dataframe

pandas dataframe column names

print(data.columns.values)

Getting the column names as list

# 5. Getting column names
df.columns.tolist()

get dataframe column names

# 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)

name columns pandas

df.columns = ['column1', 'column2', 'column3']
df.columns

python pandas how to get all of the columns names

import pandas as pd
df = pd.read_csv("file path.csv")
df.columns

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) 

name columns pandas

>gapminder.columns = ['country','year','population',
                     'continent','life_exp','gdp_per_cap']

dataframe names pandas

print(df.rename(columns={'A': 'a', 'C': 'c'}))

Show column names and indexes dataframe python

import pandas as pd

# Dataframe example
df = pd.DataFrame({'col_A':[1,5,7,8],'col_B':[9,7,4,3], 'col_C':[5,1,4,9]})

# Showing all column names and indexes for df
print(* (f"{i}: {col}" for i,col in enumerate(df.columns)), sep='
')

get columbe names from data fram pandas

# to print the columns
print(df.columns)