If it is not present, then install numpy first because it is a requirement for matplotlib.
The following sections show how to use matplotlib to create various plots or plot elements. The left plot was generated with plt. Matplotlib tried to put the legend in the best location within the plot, but the legend still overlapped the data.
The right plot looks nicer, with the legend outside of the plot and with no need to set transparency since the legend will never overlap the data. To generate a legend like that in the right plot, create the legend using the code below.
This section will show how to accomplish the second choice of one legend and one title to account for all of the subplots. An example plot is shown below. Below is some simple code that plots subplots with only one title and legend for the whole figure: Custom Legends Sometimes the user might want to create a customized legend rather than having matplotlib generate the legend.
Matplotlib generates the legend based on what is inside the plot, but a custom legend can be created regardless of what is in the plot. One case where a custom legend might be desired is a scatter plot where a lot of different colors are used for a shape, but the user only wants one shape to appear on the legend.
Such a scatter plot is shown in the left plot below, with a matplotlib generated legend. With the large number of entries in the legend, the user might prefer a legend with only one shape per type of point, with the colors explained in a separate text box as shown in the right plot.
Note that the right plot utilizes a text box below the legend.
Text boxes are explained in the next section. To create a custom legend where the user has more control over what is put in the legend, the user can use proxy artists.
The code below shows a simple example of this.
This is the creation of the proxy artists. The first and simplest way uses the figtext function. Below is some code to illustrate this method. The second way is slightly more complex, but allows the user to put different colored text into a single text box.
Changing Order of Legend Items To change the order of legends, we can use the command to get the handles and labels of the legend after plotting the points: Below is a code segment to show how to reverse the order of a plot.
This trick is useful when you have line plots, since the legend automatically is ordered by what is plotted first. The function takes "the number of days fraction part represents hours, minutes, seconds since That sounds somewhat cryptic, but not to worry.
Below is an example code snippet: The code to make the figure and axes are omitted above. Note that there are different locators as documented at: Matplotlib Dates Documentation A nice tool for making sure tick labels don't overlap is to put in an interval argument for the locator.
Give a string based on what you'd like to see on the x-tick labels. See python documentation for strftime for how to format the string: A list of symbols that can be rendered in mathtext can be found here: Mathtext Colors in Matplotlib Colors for elements such as text or markers can be called in different ways.
A single letter such as 'b' for blue, a name such as 'green', an html color name such as 'SeaGreen', or a hexadecimal such as ' ffffff' can be used. Matplotlib Colors Link to a useful color list with both names and hex codes: Powered by Atlassian Confluence 6.Set up the configuration file to use a backend that works on the Mac, namely "TkAgg", as mentioned in an email by the author of matplotlib, John Hunter.
(Eventually I was able to get both TkAgg and GTKAgg to work just by changing the "backend:" field in caninariojana.comtlibrc config file.).
savefig function allows you to save matplotlib chart to different file formats such as jpg, png or pdf. It supports various options such as making transparent background, add padding around a chart, change frame or face color etc. Next: caninariojana.comd_pgf; Show Page Source. caninariojana.comd_pdf Get the default savefig file format as specified in rcParam caninariojana.com Returned string excludes period. Overridden in backends that only support a single file type. print_pdf. In : import matplotlib import caninariojana.com as plt Now to create and display a simple chart, we’ll first use caninariojana.com() method and pass in a few arrays of numbers for our values. For this example, we’ll plot the number of books read over the span of a few months.
Matplotlib gives you lots of freedom in how you save figures. The code below will save the figure as a png, but if you want to fiddle about some more with it in Illustrator you can also save as svg. If you save as png, make sure to use a dpi of or above. Tag: matplot Matplotlib legend.
Matplotlib has native support for legends. Legends can be placed in various positions: A legend can be placed inside or outside the chart and the position can be moved.
Matplotlib can save plots directly to a file using savefig(). The method can be used like this: fig. savefig The Matplotlib subplot. Here are the examples of the python api caninariojana.com taken from open source projects.
By voting up you can indicate which examples are most useful and appropriate. By voting up you can indicate which examples are most useful and appropriate. caninariojana.comg(filename+'.png', format='png') to save my plots.
But I want to keep my old versions of caninariojana.com when I create a new one (using different colour codes, etc.) without always having to come up with a new filename. In savefig(), the file format is inferred from the extension of the given filename. Depending on what backends you have installed, many different file formats are available.
Depending on what backends you have installed, many different file formats are available.