(To practice matplotlib interactively, try the free Matplotlib chapter at the start of this Intermediate Python course or see DataCamp’s Viewing 3D Volumetric Data With Matplotlib tutorial to learn how to work with matplotlib’s event handler API.) What does a Matplotlib Python Plot Look Like?Īt first sight, it will seem that there are quite some components to consider when you start plotting with this Python data visualization library. Lastly, you’ll briefly cover two ways in which you can customize Matplotlib: with style sheets and the rc settings.Showing, saving and closing your plots: show the plot, save one or more figures to, for example, pdf files, clear the axes, clear the figure or close the plot, etc.
Basic plot customizations, with a focus on plot legends and text, titles, axes labels and plot layout.Plotting routines, from simple ways to plot your data to more advanced ways of visualizing your data.Plot creation, which could raise questions about what module you exactly need to import (pylab or pyplot?), how you exactly should go about initializing the figure and the Axes of your plot, how to use matplotlib in Jupyter notebooks, etc.The anatomy of a Matplotlib plot: what is a subplot? What are the Axes? What exactly is a figure?.When you’re working with the Python plotting library Matplotlib, the first step to answering the above questions is by building up knowledge on topics like: However, the step to presenting analyses, results or insights can be a bottleneck: you might not even know where to start or you might have already a right format in mind, but then questions like “Is this the right way to visualize the insights that I want to bring to my audience?” will have definitely come across your mind. Humans are very visual creatures: we understand things better when we see things visualized. Matplotlib, pyplot and pylab: How are they Related?.What does a Matplotlib Python Plot Look Like?.So install dateutil, you can download and install it here. ImportError: matplotlib requires dateutil
Raise ImportError("matplotlib requires dateutil") Otherwise it cannot be installed)Īfter trying to run, an error was reported. So on the website: numpy-1.8.0-win32-superpack-python2.7.exe, matplotlib-1.3.1.win32 -py2.7.exe, scipy-0.13.2-win32-superpack-python2.7.exe three library packages (Note here: you must download according to your python version. I found an application pylab library, numpy library and scipy library on the Internet, and run an example of realizing the curve fitting, so I tried to install the library.įirst I found, which explains that the combination of numpy, scipy and matplotlib is called the pylab library.
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