Pythonic Periodic Table 🐍 #shorts

To create a periodic table in Python, we can use various libraries such as matplotlib, pandas, and numpy. In this tutorial, we will use pandas and matplotlib to create a simple periodic table visualization.

Step 1: Install Libraries
First, you need to install the necessary libraries. Open your command prompt or terminal and run the following commands:

pip install pandas
pip install matplotlib

Step 2: Import Libraries
Next, let’s import the pandas and matplotlib libraries in our Python script. Create a new Python script and add the following code:

import pandas as pd
import matplotlib.pyplot as plt

Step 3: Create Data
Now, we need to create a DataFrame with the basic information about each element in the periodic table. You can download the data from the periodic table website or use the following sample data:

data = {'atomic_number': [1, 2, 3, 4, 5, 6],
        'symbol': ['H', 'He', 'Li', 'Be', 'B', 'C'],
        'name': ['Hydrogen', 'Helium', 'Lithium', 'Beryllium', 'Boron', 'Carbon'],
        'mass': [1.008, 4.0026, 6.94, 9.0122, 10.81, 12.011]}

df = pd.DataFrame(data)

Step 4: Create Periodic Table
Now, let’s create a simple periodic table visualization using matplotlib. Add the following code to your Python script:

fig, ax = plt.subplots()
ax.axis('off')

for i, row in df.iterrows():
    col = i % 18
    row_num = i // 18
    x = col * 0.1
    y = row_num * 0.1
    ax.text(x, y, row['symbol'], ha='center', va='center')

plt.show()

Step 5: Customize the Periodic Table
You can customize the periodic table by changing the size, color, and position of the elements. You can also add more information like the atomic number or mass. Experiment with different styles and layouts to create a unique periodic table visualization.

And that’s it! You have successfully created a basic periodic table visualization in Python using pandas and matplotlib. Feel free to explore more advanced features and libraries to enhance your visualization further. Happy coding! 🐍 #shorts

I hope you found this tutorial helpful! Let me know if you have any questions or need further clarification.