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add 12 new column in a existing data frame using python pandas

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Subhasish Behera answered on January 24, 2022 Popularity 1/10 Helpfulness 1/10

answer add 12 new column in a existing data frame using python pandas

related Adding new column to existing DataFrame in Pandas using assign method

related Adding new column to existing DataFrame in Pandas

add 12 new column in a existing data frame using python pandas

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import pandas as pd

# Create an example DataFrame
data = {'A': [1, 2, 3],
        'B': [4, 5, 6]}
df = pd.DataFrame(data)

# Add 12 new columns with initial values
df['new_col1'] = 0
df['new_col2'] = 0
df['new_col3'] = 0
df['new_col4'] = 0
df['new_col5'] = 0
df['new_col6'] = 0
df['new_col7'] = 0
df['new_col8'] = 0
df['new_col9'] = 0
df['new_col10'] = 0
df['new_col11'] = 0
df['new_col12'] = 0

# You can also assign values to these new columns if needed
df['new_col1'] = [1, 2, 3]  # Example values
df['new_col2'] = [4, 5, 6]  # Example values

# Display the updated DataFrame
print(df)

Popularity 1/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: add frame pandas python using

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Contributed on Oct 10 2023

Subhasish Behera

0 Answers Avg Quality 2/10

Closely Related Answers

Adding new column to existing DataFrame in Pandas using assign method

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# import pandas library
import pandas as pd

# create pandas DataFrame
df = pd.DataFrame({'team': ['India', 'South Africa', 'New Zealand', 'England'],
                   'points': [10, 8, 3, 5],
                   'runrate': [0.5, 1.4, 2, -0.6],
                   'wins': [5, 4, 2, 2]})

# print the DataFrame
print(df)

# append multiple columns to Pandas DataFrame
df2 = df.assign(lost=[2, 1, 3, 4], matches_remaining=[2, 3, 1, 1])

# Print the new DataFrame
print(df2)

Popularity 10/10 Helpfulness 2/10 Language python

Source: itsmycode.com

Tags: assign as

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Contributed on Jan 24 2022

Gorgeous Gazelle

0 Answers Avg Quality 2/10

Adding new column to existing DataFrame in Pandas

Comment

# import pandas library
import pandas as pd

# create pandas DataFrame
df = pd.DataFrame({'team': ['India', 'South Africa', 'New Zealand', 'England'],
                   'points': [10, 8, 3, 5],
                   'runrate': [0.5, 1.4, 2, -0.6],
                   'wins': [5, 4, 2, 2]})

# print the DataFrame
print(df)


# insert the new column at the specific position
df.insert(3, "lost", [2, 1, 3, 4], True)

# Print the new DataFrame
print(df)

Popularity 10/10 Helpfulness 2/10 Language python

Source: itsmycode.com

Tags: dataframe data

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Contributed on Jan 24 2022

Gorgeous Gazelle

0 Answers Avg Quality 2/10

Adding new column to existing DataFrame in Pandas

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# 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
print(df)

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Jul 14 2022

Travinth Dayalaeaswaran

0 Answers Avg Quality 2/10

add 12 new column in a existing data frame using python pandas

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add 12 new column in a existing data frame using python pandas

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Adding new column to existing DataFrame in Pandas using assign method

Adding new column to existing DataFrame in Pandas

Adding new column to existing DataFrame in Pandas

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