You can’t put a figure in a figure. You should modify your plotting functions to take axes objects as an argument. I am also unclear why the kwarg figure is there, I think it is an artifact of the way that inheritance works, the way that the documentation is auto-generated, and the way some of … Read more
In general colormaps in matplotlib are 1D, i.e. they map a scalar to a color. In order to obtain a 2D colormap one would need to somehow invent a mapping of two scalars to a color. While this is in principle possible, it’s not as convenient as the usual colormaps. An example is below, where … Read more
The pyplot functions you are calling, axhline() and axvline() draw lines that span a portion of the axis range, regardless of coordinates. The parameters xmin or ymin use value 0.0 as the minimum of the axis and 1.0 as the maximum of the axis. Instead, use plt.plot((x1, x2), (y1, y2), ‘k-‘) to draw a line … Read more
The Matplotlib documentation for the line2d artist explains how set_data works. It “ACCEPTS: 2D array (rows are x, y) or two 1D arrays.” It also works with lists. You’ve given it a four element list instead. You need to set the x and y data of each line separately. I’ve included an example with fake … Read more
use the align_yaxis() function: import numpy as np import matplotlib.pyplot as plt def align_yaxis(ax1, v1, ax2, v2): “””adjust ax2 ylimit so that v2 in ax2 is aligned to v1 in ax1″”” _, y1 = ax1.transData.transform((0, v1)) _, y2 = ax2.transData.transform((0, v2)) inv = ax2.transData.inverted() _, dy = inv.transform((0, 0)) – inv.transform((0, y1-y2)) miny, maxy = … Read more
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
So the requirements are: Having a fixed, predefined figure size Adding a text label or legend outside the axes Axes and text cannot overlap The axes, together with the title and axis labels, sits tightly agains the figure border. So tight_layout with pad = 0, solves 1. and 4. but contradicts 2. One could think … Read more
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’)
This is a matplotlib question, and you can get around this by using a backend that doesn’t display to the user, e.g. ‘Agg’: import matplotlib matplotlib.use(‘Agg’) import matplotlib.pyplot as plt plt.plot([1,2,3]) plt.savefig(‘/tmp/test.png’) EDIT: If you don’t want to lose the ability to display plots, turn off Interactive Mode, and only call plt.show() when you are … Read more
I had a problem with the answer by @mwaskorn, namely that g.set_xticklabels(rotation=30) fails, because this also requires the labels. A bit easier than the answer by @Aman is to just add plt.xticks(rotation=45)