Subplot ytick Percent

Introduction

In data visualization, subplots are a useful way to display multiple plots within a single figure. One common requirement is to show y-tick labels as percentages. This can be achieved using the matplotlib.pyplot.subplots function and customizing the y-tick labels.

In this tutorial, we will learn how to create subplots with y-axis tick labels formatted as percentages using Python and Matplotlib.

Prerequisites

To follow along with this tutorial, you need to have the following installed:

• Python (3.6 or above)
• Matplotlib library

You can install the required libraries using pip:

pip install matplotlib

Steps to Create Subplot ytick Percent

Step 1: Import the necessary libraries

First, we need to import the required libraries: numpy and matplotlib.pyplot.

import numpy as np
import matplotlib.pyplot as plt

Step 2: Generate data for the subplots

Let's generate some sample data for our subplots. We will create two arrays, x and y, and plot them in separate subplots.

x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)

Step 3: Create the subplots

Next, we will create the subplots using the subplots() function. To specify the number and arrangement of subplots, we pass the arguments num_rows and num_cols.

fig, axes = plt.subplots(nrows=2, ncols=1)

Step 4: Plot the data

Now, we can plot the data in each subplot using the plot() function.

axes[0].plot(x, y1)
axes[1].plot(x, y2)

Step 5: Customize the y-tick labels as percentages

To format the y-axis tick labels as percentages, we need to create a custom function and apply it to each subplot's y-axis.

def format_percent(value, tick_number):
    return f'{value*100:.0f}%'

for ax in axes:
    ax.yaxis.set_major_formatter(plt.FuncFormatter(format_percent))

Step 6: Add labels and titles

Finally, we can add labels and titles to our subplots for better readability.

axes[0].set_ylabel('Amplitude')
axes[1].set_xlabel('Time')
axes[1].set_ylabel('Amplitude')
axes[0].set_title('Sine Wave')
axes[1].set_title('Cosine Wave')

Step 7: Show the plot

To display the plot, we use the show() function.

plt.show()

Conclusion

In this tutorial, we have learned how to create subplots with y-axis tick labels formatted as percentages using Python and Matplotlib. By customizing the y-tick labels using a custom function, we can easily display the desired formatting in our subplots.

Feel free to further customize your subplots by adding legends, grid lines, or other plot elements as per your requirements.