A Step-by-Step Guide to Creating Python Dataframe Using Pandas.

Example of a Dataframe

1. First, import the pandas library:

import pandas as pd

2. Next, create a Python dictionary with the data you want to include in the dataframe. For example:

data = {'name': ['Alice', 'Bob', 'Charlie', 'David'],
        'age': [25, 30, 35, 40],
        'country': ['USA', 'Canada', 'France', 'UK']}

3. Use the pd.DataFrame() function to create a dataframe from the dictionary:

df = pd.DataFrame(data)

4. You can view the dataframe using the .head() function to see the first few rows:

print(df.head())

This should output:

name  age country
0    Alice   25     USA
1      Bob   30  Canada
2  Charlie   35  France
3    David   40      UK

5. That’s it! You now have a Python dataframe with your data. You can access and manipulate the data using pandas functions and methods.

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