How to Create a Table in Python

In this tutorial, we are going to learn how to create a table in Python using the pandas library, which is a powerful tool for data manipulation and analysis. Before proceeding, make sure that the pandas library is installed in your system. If it’s not, you can install it by simply running the pip install pandas command in your terminal.

Step 1: Importing the Pandas Library

To begin with, we need to import the pandas library. We are also going to import the NumPy library to generate some random data for our table.

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import pandas as pd
import numpy as np

Step 2: Creating the Data

Next, we will create some data to populate our table. We will create this data using the NumPy random module.

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data = np.random.randint(0,100,size=(5, 4))

Step 3: Creating a Data Frame

The pandas DataFrame can be seen as a table. It is a two-dimensional size-mutable, potentially heterogeneous tabular data. In this step, we will convert the data that we just created into a pandas DataFrame.

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df = pd.DataFrame(data, columns=list('ABCD'))

Step 4: Displaying the Table

Lastly, we are going to display our table. In Python, we use the print function to achieve this.

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print(df)

After running the above-mentioned Python code, your output should look like this:

   A   B   C   D
0 68  51  82  41
1 14  58  14  51
2 20  19  94  82
3 70  65  33  30
4 80  74  65  13

Full Code

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import pandas as pd
import numpy as np
 
data = np.random.randint(0,100,size=(5, 4))
df = pd.DataFrame(data, columns=list('ABCD'))
print(df)

Conclusion

And there you have it – a simple, yet powerful way of creating a table in Python using the pandas library. If you spend time dealing with large datasets, learning Python and pandas will be a valuable investment in your data skills, as it makes data analysis more interactive, versatile, and customized. Try exploring more on pandas DataFrame and happy coding!