How to add a title to a barplot in Python
• 1 minThere are two quite famous way to plot using the Pandas or the Matplotlib library.
Using Matplotlib
Using the matplotlib library, you can set the title of the figure using the axes.set_title() method.
import matplotlib.pyplot as plt
import pandas as pd
# We generate a dataframe with some random data
df = pd.DataFrame(index = ['2018', '2019', '2020', '2021'],
data={"sales": [28429, 41771, 55238, 120681]})
# We set our canvas
fig, axes = plt.subplots(1,1, figsize=(8,6))
# We do a bar plot on the axes
axes.bar(x=df.index,
height=df["sales"],
label="Sales in USD")
# We set a title
axes.set_title("Sales per year")
# Change the labels
axes.set_xlabel("Year")
axes.set_ylabel("In USD")
# Add the legend
axes.legend(loc='upper left')
# Fixing the layout to fit the size
fig.tight_layout()
# Showing the plot
plt.show()
Using Pandas
Using the DataFrame.plot() method you can set the title of the figure by passing the title="my title" parameter.
import matplotlib.pyplot as plt
import pandas as pd
# We generate a dataframe with some random data
df = pd.DataFrame(index = ['2018', '2019', '2020', '2021'],
data={"sales": [28429, 41771, 55238, 120681]})
# We plot the data as bar chart.
df.plot(kind="bar", title="Sales per year")
Here you are, you now know how to add a title to a barplot in Python.
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.