Adding new column to existing DataFrame in Pandas using assign method

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Gorgeous Gazelle answered on May 20, 2021 Popularity 10/10 Helpfulness 2/10

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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)

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Source: itsmycode.com

Tags: assign dataframe pandas python using

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Contributed on Jan 24 2022

Gorgeous Gazelle

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Adding new column to existing DataFrame in Pandas by assigning a list

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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)

# declare a new list and add the values into the list
match_lost = [2, 1, 3, 4]

# assign the list to the new DataFrame Column
df["lost"] = match_lost

# Print the new DataFrame
print(df)

Popularity 8/10 Helpfulness 5/10 Language python

Source: itsmycode.com

Tags: dataframe list

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Contributed on Jan 24 2022

Gorgeous Gazelle

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how to add column to the Dataframe in python

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#using the insert function:
df.insert(location, column_name, list_of_values) 
#example
df.insert(0, 'new_column', ['a','b','c'])
#explanation:
#put "new_column" as first column of the dataframe
#and puts 'a','b' and 'c' as values

#using array access:
df['new_column_name'] = value

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Source: Grepper

Tags: add

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Contributed on May 22 2022

DON-PECH

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insert new column to dataframe

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group = np.random.randint(10, size=6)
df_new['Group'] = group

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Tags: dataframe data

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Contributed on May 20 2021

Xanthous Xenomorph

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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

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add dataframe column to set

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In [79]:

df
Out[79]:
         Date, Open, High,  Low,  Close
0  01-01-2015,  565,  600,  400,    450
In [80]:

df['Name'] = 'abc'
df
Out[80]:
         Date, Open, High,  Low,  Close Name
0  01-01-2015,  565,  600,  400,    450  abc

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Contributed on Mar 25 2022

Sleepy Swan

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Create a new column in Pandas DataFrame based on the existing columns

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# importing pandas as pd
import pandas as pd
  
# Creating the DataFrame
df = pd.DataFrame({'Date':['10/2/2011', '11/2/2011', '12/2/2011', '13/2/2011'],
                    'Event':['Music', 'Poetry', 'Theatre', 'Comedy'],
                    'Cost':[10000, 5000, 15000, 2000]})
  
# Print the dataframe
print(df)

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Source: www.geeksforgeeks.org

Tags: dataframe data

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Contributed on Jul 14 2022

Travinth Dayalaeaswaran

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Add new column of dataframe

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Other['Extracurr'] = count

Popularity 10/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: add

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Contributed on Jun 20 2022

Chunxiao Wang

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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)

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Source: chat.openai.com

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Contributed on Oct 10 2023

Subhasish Behera

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Adding new column to existing DataFrame in Pandas using assign method

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