How to add a grid to a plot using Matplotlib
• 1 minHere is a simple example of a scatter plot, using the matplotlib library.
import matplotlib.pyplot as plt
import pandas as pd
# We read a sample dataset from the web.
df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')
fig, axes = plt.subplots(1,1, figsize=(8,6))
# We do a boxplot plot on the axes
axes.scatter(df["sepal_width"], df["sepal_length"])
# We set a title
axes.set_title("Sepal Length Scatter")
#Set the axis labels
axes.set_xlabel("Sepal Width")
axes.set_ylabel("Sepal Length")
# Add the grid
axes.grid()
# Fixing the layout to fit the size
fig.tight_layout()
# Showing the plot
plt.show()As we can see here, we are using the axes.grid() method that will add a grid to any kind of plot.
In this example, we are plotting the sepal_width versus the sepal_length column.
Here is the result.
Here you are ! You now know how to make boxplots.
More on plots
If you want to know more about how to add labels, plot different types of plots, etc... checkout the other articles I wrote on the topic, just here :
Matplotlib - The Python You Need
We gathered the only Python essentials that you will probably ever need.
