Chapter 9 – Customizing Plots in Matplotlib
So far, we’ve learned how to create various types of plots — lines, bars, histograms, scatter, pie, and subplots. Now […]
So far, we’ve learned how to create various types of plots — lines, bars, histograms, scatter, pie, and subplots. Now […]
So far, we have been creating one plot per figure. But in real-world data analysis, it’s often useful to display
In the previous chapters, we explored line plots, bar plots, histograms, scatter plots, and pie charts. Another powerful visualization tool
Pie charts are a popular way to represent parts of a whole. They divide a circle into slices, where each
Scatter plots are one of the most important tools in data visualization. They show the relationship between two variables by
Histograms are a type of plot used to visualize the distribution of a dataset. Unlike bar plots, which show categorical
Bar plots (or bar charts) are used to represent categorical data with rectangular bars. The length or height of the
Line plots are one of the most common types of plots in data visualization. They are used to display trends
Matplotlib is one of the most popular Python libraries for data visualization. Whether you’re exploring data, building dashboards, or preparing