Dec 10, 2024 · In this article, we are going to see how to display the value of each bar in a bar chart using Matplotlib. There are two different ways to display the values of each bar in a bar chart in matplotlib - Using matplotlib.axes.Axes.text() function.Use matplotlib.pyplot.text() function.

Use plt.text () to put text in the plot. Example: #Now the trick is here. #So here index will give you x pos and data+1 will provide a little gap in y axis. plt.text(x=index , y =data+1 , s=f"{data}" , fontdict=dict(fontsize=20)) This will show the figure as:

With Pyplot, you can use the bar() function to draw bar graphs: Draw 4 bars: The bar() function takes arguments that describes the layout of the bars. The categories and their values represented by the first and second argument as arrays. Try it Yourself »

Bar charts can be made with matplotlib. You can create all kinds of variations that change in color, position, orientation and much more. So what’s matplotlib?

Apr 9, 2025 · With plt.subplots (), multiple bar charts can be plotted within a single figure but in different axes. This method is ideal when you want to compare datasets visually while keeping them separate. It provides a clean, organized layout with each dataset in its own subplot.

Feb 25, 2021 · A Bar Graph is commonly used in data analytics where we want to compare the data and extract the most common or highest groups. In this post, we will learn how to plot a bar graph using a CSV file. There are plenty of modules available to …

Over 36 examples of Bar Charts including changing color, size, log axes, and more in Python.

This section shows how to build a barplot with Python, using libraries like Matplotlib and Seaborn. It start by explaining how to build a very basic barplot, and then provides tutorials for more customized versions.

Dec 13, 2024 · Learn how to create stunning bar charts using Matplotlib's plt.bar () in Python. Master customization options, styling, and best practices for data visualization.

Feb 21, 2021 · Learn how to create Matplotlib bar charts, including how to customize bar colours, add titles, stacked and double bar charts.