Matplotlib examples

A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. The charts are grouped based on the 7 different purposes matplotlib examples your visualization objective.

Click here to download the full example code. Here's how to create a line plot with text labels using plot. Multiple axes i. Matplotlib can display images assuming equally spaced horizontal dimensions using the imshow function. The pcolormesh function can make a colored representation of a two-dimensional array, even if the horizontal dimensions are unevenly spaced.

Matplotlib examples

For an overview of the plotting methods we provide, see Plot types. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide. Bar color demo. Bar Label Demo. Stacked bar chart. Grouped bar chart with labels. Horizontal bar chart. Broken Barh. Plotting categorical variables.

This method adds another plot to the current figure at the specified grid position. The table function adds a text table to an axes, matplotlib examples.

Go to the end to download the full example code. An introduction to the pyplot interface. Each pyplot function makes some change to a figure: e. In matplotlib. Most of the function calls you see here can also be called as methods from an Axes object.

Matplotlib is one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it's the go-to library for most. We'll be using the Ames Housing dataset and visualizing correlations between features from it. Now, with the dataset loaded, let's import Matplotlib, decide on the features we want to visualize, and construct a scatter plot :. Here, we've created a plot, using the PyPlot instance, and set the figure size. Using the returned Axes object, which is returned from the subplots function, we've called the scatter function. We need to supply the x and y arguments as the features we'd like to use to populate the plot. Running this code results in:. We've also set the x and y labels to indicate what the variables represent. There's a clear positive correlation between these two variables.

Matplotlib examples

The examples here are only examples relevant to the points raised in this chapter. The matplotlib documentation comes with a much more exhaustive gallery. Pie chart. A simple, good-looking plot. Plotting a scatter of points. A simple plotting example. Simple axes example.

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Click here to download the full example code. Orthogonal and Ortrhonormal Matrix Additional note: how to remove some unused entries in a grid using the ax. Subplots spacings and margins Subplots spacings and margins. Bar chart with gradients Bar chart with gradients. By default, the plot function draws a line from point to point. Lasso Demo. Lines have many attributes that you can set: linewidth, dash style, antialiased, etc; see matplotlib. Matplotlib Subplots — How to create multiple plots in same figure in Python? Tricontour Demo Tricontour Demo. Multipage PDF. Combining two subplots using subplots and GridSpec.

Click here to download the full example code. Here's how to create a line plot with text labels using plot.

QuadMesh Demo. Pyplot provides functions that interact with the figure i. Introduction to Time Series Analaysis Simple ImageGrid 2. Fig Axes Customize Simple. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Automatic text offsetting. Official Matplotlib cheatsheet page 1. Control axis labels and ticks look. The hist function automatically generates histograms and returns the bin counts or probabilities:. Box plot vs. It can be used for the graph caption or even inside the chart area to provide more context. Compound path. Full Name.