The new GitHub graphs are built with the amazing d3 library by @mbostock. http://github.com/mbostock/d3 This was taken directly from https://github.com/blog/1093-introducing-the-new-github-graphs
This answer does not work, as it is explained in the comments. I suggest using spines. As mentioned in a comment by Czechnology, consider changing the ticks too. import matplotlib.pyplot as plt fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4)) ax1.set_title(‘Normal spine and ticks’) ax2.set_title(‘Adjusted spine and ticks’) # change each spine separately: # ax.spines[‘right’].set_linewidth(0.5) … Read more
Well I did not think this was possible until I went and checked. In some previous version of Excel I could not do this. I am currently using Excel 2013. This is what you want to do in a scatter plot: right click on your data point select “Format Data Labels” (note you may have … Read more
Sure, just change the formatter. For example, if we have this plot: import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.axis([1, 10000, 1, 100000]) ax.loglog() plt.show() You could set the tick labels manually, but then the tick locations and labels would be fixed when you zoom/pan/etc. Therefore, it’s best to change the formatter. By default, … Read more
Sure! To set the ticks, just, well… Set the ticks (see matplotlib.pyplot.xticks or ax.set_xticks). (Also, you don’t need to manually set the facecolor of the patches. You can just pass in a keyword argument.) For the rest, you’ll need to do some slightly more fancy things with the labeling, but matplotlib makes it fairly easy. … Read more
You can have the best of both worlds: automatic “escaping” of LaTeX commands and newlines: plt.ylabel(r”My long label with unescaped {\LaTeX} $\Sigma_{C}$ math” “\n” # Newline: the backslash is interpreted as usual r”continues here with $\pi$”) (instead of using three lines, separating the strings by single spaces is another option). In fact, Python automatically concatenates … Read more
You can check matplotlib’s documentation yourself. I find it quite comprehensive. I have very little experience with gnuplot-py, so I can not say whether it can do all gnuplot can. Matplotlib is written in and designed specifically for Python, so it fits very nicely with Python idioms and such. Matplotlib is a mature project. NASA … Read more
If you are using the ‘pylab’ for interactive plotting you can set the labelsize at creation time with pylab.ylabel(‘Example’, fontsize=40). If you use pyplot programmatically you can either set the fontsize on creation with ax.set_ylabel(‘Example’, fontsize=40) or afterwards with ax.yaxis.label.set_size(40).
use labelpad parameter: pl.xlabel(“…”, labelpad=20) or set it after: ax.xaxis.labelpad = 20