matplotlib – Page 4 – Tarik Billa

Embedding small plots inside subplots in matplotlib

March 2, 2023 by Tarik

I wrote a function very similar to plt.axes. You could use it for plotting yours sub-subplots. There is an example… import matplotlib.pyplot as plt import numpy as np #def add_subplot_axes(ax,rect,facecolor=”w”): # matplotlib 2.0+ def add_subplot_axes(ax,rect,axisbg=’w’): fig = plt.gcf() box = ax.get_position() width = box.width height = box.height inax_position = ax.transAxes.transform(rect[0:2]) transFigure = fig.transFigure.inverted() infig_position = … Read more

matplotlib python inline on/off

February 26, 2023 by Tarik

You can switch the matplotlib’s backend by %matplotlib <backend>. To switch back to your system’s default backend use %matplotlib auto or just simply %matplotlib. There are many backends available such as gtk, qt, notebook, etc. I personally highly recommend the notebook (a.k.a. nbagg) backend. It is similar to inline but interactive, allowing zooming/panning from inside … Read more

show origin axis (x,y) in matplotlib plot

February 26, 2023 by Tarik

Using subplots is not too complicated, the spines might be. Dumb, simple way: %matplotlib inline import numpy as np import matplotlib.pyplot as plt x = np.linspace(0.2,10,100) fig, ax = plt.subplots() ax.plot(x, 1/x) ax.plot(x, np.log(x)) ax.set_aspect(‘equal’) ax.grid(True, which=”both”) ax.axhline(y=0, color=”k”) ax.axvline(x=0, color=”k”) And I get: (you can’t see the vertical axis since the lower x-limit is … Read more

Matplotlib, Consistent font using latex

February 20, 2023 by Tarik

To make the tex-style/mathtext text look like the regular text, you need to set the mathtext font to Bitstream Vera Sans, import matplotlib matplotlib.rcParams[‘mathtext.fontset’] = ‘custom’ matplotlib.rcParams[‘mathtext.rm’] = ‘Bitstream Vera Sans’ matplotlib.rcParams[‘mathtext.it’] = ‘Bitstream Vera Sans:italic’ matplotlib.rcParams[‘mathtext.bf’] = ‘Bitstream Vera Sans:bold’ matplotlib.pyplot.title(r’ABC123 vs $\mathrm{ABC123}^{123}$’) If you want the regular text to look like the mathtext … Read more

How do I assign multiple labels at once in matplotlib?

February 19, 2023 by Tarik

You can iterate over your line objects list, so labels are individually assigned. An example with the built-in python iter function: lineObjects = plt.plot(x, y) plt.legend(iter(lineObjects), (‘foo’, ‘bar’, ‘baz’))` Edit: after updating to matplotlib 1.1.1, it looks like the plt.plot(x, y), with y as a list of lists (as provided by the author of the … Read more

Fast Live Plotting in Matplotlib / PyPlot

February 12, 2023 by Tarik

First of all, the code that is posted in the question runs with 7 fps on my machine, with QT4Agg as backend. Now, as has been suggested in many posts, like here or here, using blit might be an option. Although this article mentions that blit causes strong memory leakage, I could not observe that. … Read more

set ticks with logarithmic scale

January 27, 2023 by Tarik

import matplotlib from matplotlib import pyplot as plt fig1, ax1 = plt.subplots() ax1.plot([10, 100, 1000], [1,2,3]) ax1.set_xscale(‘log’) ax1.set_xticks([20, 200, 500]) ax1.get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter()) or ax1.get_xaxis().get_major_formatter().labelOnlyBase = False plt.show()

Giving graphs a subtitle in matplotlib

January 23, 2023 by Tarik

What I do is use the title() function for the subtitle and the suptitle() for the main title (they can take different font size arguments).

Relationship between dpi and figure size

January 21, 2023 by Tarik

Figure size (figsize) determines the size of the figure in inches. This gives the amount of space the axes (and other elements) have inside the figure. The default figure size is (6.4, 4.8) inches in matplotlib 2. A larger figure size will allow for longer texts, more axes or more ticklabels to be shown. Dots … Read more

Matplotlib: Changing the color of an axis

December 28, 2022 by Tarik

When using figures, you can easily change the spine color with: ax.spines[‘bottom’].set_color(‘#dddddd’) ax.spines[‘top’].set_color(‘#dddddd’) ax.spines[‘right’].set_color(‘red’) ax.spines[‘left’].set_color(‘red’) Use the following to change only the ticks: which=”both” changes both the major and minor tick colors ax.tick_params(axis=”x”, colors=”red”) ax.tick_params(axis=”y”, colors=”red”) And the following to change only the label: ax.yaxis.label.set_color(‘red’) ax.xaxis.label.set_color(‘red’) And finally the title: ax.title.set_color(‘red’)