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In your development and dealing with huge datasets you may need to read column names of data. Python has very powerful library called as pandas for data processing, pandas have very popular data structure named as Dataframe. There are many ways to get column names of dataframe in pandas library we below: import pandas as pd df = pd.DataFrame({'column1': [2, 4, 8, 0], 'column2': [6, 0, 0, 0], 'column3': [10, 2, 1, 8], 'column4': [14, 5, 32, 68]}) # print Dataframe print(df) # Column names as list print(list(df.columns)) # Column names print(df.columns.values) # iterating the columns for column in df.columns: print(column, end=' ') # using end argument to print all column values in single line. print() # Using toList() function print(df.columns.values.tolist()) Happy coding.

In your python development, there are many instances when you need to read some data from CSV or may need to store results (final or intermediate) to csv files, So in this article we will see some ways to read and store Pandas dataframe in csv files.   import pandas as pd df = pd.DataFrame({'column1': [2, 4, 8, 0], 'column2': [6, 0, 0, 0], 'column3': [10, 2, 1, 8], 'column4': [14, 5, 32, 68]}) df.to_csv("temp.csv", index=False) print(pd.read_csv("temp.csv")) # print Dataframe print(df) if you want to raed csv line by line then use csv package as below: import csv with open('temp.csv') as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') line_count = 0 for row in csv_reader: if line_count == 0: print(f'Column names are {", ".join(row)}') line_count += 1 else: pri