pandas add column names
# Basic syntax:
your_dataframe.columns = ['new', 'column', 'names']
# Google "python change row or column names in pandas dataframe" for
# longer answer with examplespandas add column names
# Basic syntax:
your_dataframe.columns = ['new', 'column', 'names']
# Google "python change row or column names in pandas dataframe" for
# longer answer with exampleshow to add new column to dataframe
# Import pandas package
import pandas as pd
# Define a dictionary containing Students data
data = {'Name': ['Jai', 'Princi', 'Gaurav', 'Anuj'],
'Height': [5.1, 6.2, 5.1, 5.2],
'Qualification': ['Msc', 'MA', 'Msc', 'Msc']}
# Convert the dictionary into DataFrame
df = pd.DataFrame(data)
# Declare a list that is to be converted into a column
address = ['Delhi', 'Bangalore', 'Chennai', 'Patna']
# Using 'Address' as the column name
# and equating it to the list
df['Address'] = address
# Observe the result
dfname columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']Copyright © 2021 Codeinu
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