How to Create an 8 by 8 Dataframe in Python

To create an 8 by 8 dataframe in Python, you can use the DataFrame() function from the pandas library and the arange() function from the numpy library.

The following example shows how to create an 8 by 8 dataframe in Python using the pandas and numpy libraries.

Using DataFrame() & arange() Function

We can use the DataFrame() and arange() functions to create an 8 by 8 dataframe.

Let’s see how to create a dataframe in Python:

# Import libraries
import pandas as pd
import numpy as np

# Create dataframe
df = pd.DataFrame(np.arange(64).reshape(8, 8))

# Show dataframe
print(df)

Output: 👇️

    0   1   2   3   4   5   6   7
0   0   1   2   3   4   5   6   7
1   8   9  10  11  12  13  14  15
2  16  17  18  19  20  21  22  23
3  24  25  26  27  28  29  30  31
4  32  33  34  35  36  37  38  39
5  40  41  42  43  44  45  46  47
6  48  49  50  51  52  53  54  55
7  56  57  58  59  60  61  62  63

In this example, we use the arange() function to create a range of values from 0 to 63 and then reshape it into an 8 by 8 array.

We then use the DataFrame() function to create a dataframe df from this array.

The output shows the 8 by 8 dataframe created using the pandas and numpy libraries.

Conclusion

We can use the DataFrame() function from the pandas library and the arange() function from the numpy library to create an 8 by 8 dataframe in Python.