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    Create a Pandas DataFrame with Columns 'Name', 'Age', 'Gender', and 'City'

    A Create a Pandas DataFrame with Columns 'Name', 'Age', 'Gender', and 'City'
         
    Short Description of the Program:
    This program creates a Pandas DataFrame using a dictionary that includes columns 'Name', 'Age', 'Gender',       and 'City'.

    Explanation:

    • import pandas as pd
      Imports the pandas library using the alias pd.
       
    • data = {...}
      A dictionary where keys are column names and values are lists of data.
       
    • pd.DataFrame(data)
      Converts the dictionary into a structured tabular format.
       
    • print(df)
      Prints the resulting DataFrame.

    Program:

    import pandas as pd

data = {

    'Name': ['Alice', 'Bob', 'Charlie', 'Diana'],

    'Age': [25, 30, 22, 28],

    'Gender': ['Female', 'Male', 'Male', 'Female'],

    'City': ['New York', 'Los Angeles', 'Chicago', 'Houston']

}
df = pd.DataFrame(data)

print(df)

     

     

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