PYTHON

pandas see all columns

pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

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)

get all columns names starting with pandas

starts_with_foo = [col for col in df if col.startswith('foo')]

pd dataframe get column names

lst = data.columns.values     # data is dataframe

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)

view all columns in pandas dataframe

pd.options.display.max_columns = None
pd.options.display.max_rows = None

view all columns pandas

print(dataframe.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 list all columns in dataframe

list(my_dataframe)

Show all 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='
')