Control axis size matplotlib pyplot

Question

I can't find a way to control the alignment of points in matplotlib.pyplot in order to more properly center samples within a window. Below is an example where I am plotting two averaged samples with stdev and instead of being uniformly spaced within the window, they are pushed off onto the edges of the plot.

Is there a way to better control this alignment? My code is below for reference.

plt.clf()
plt.errorbar(np.arange(len(rmean)),rmean,yerr=rstddev, linestyle="None", fmt='o')
plt.xlabel('Probes', fontsize=1)
plt.ylabel('VAF')
plt.title('Average VAF Along Probed Regions')
plt.tight_layout()
plt.xticks(np.arange(len(rmean)),labels,rotation='90')
plt.tight_layout()
plt.show()

Y. Luo · Accepted Answer · 2017-06-06 03:16:26Z

3

I guess you've already know this from Matplotlib Examples. Essentially, the x-axis position of your data is defined by "x", which is np.arange(len(rmean)). Therefore, the final visual position is related to the range of x-axis, the xlim. Then one potential solution is to set xlim by plt.xlim([-1, len(rmean)]). I don't have your rmean or rstddev. But testing by some fake data, I got this: Hopefully, this is what you want.

answered Jun 6, 2017 at 3:16

Y. Luo

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ImportanceOfBeingErnest · Accepted Answer · 2017-06-06 08:32:51Z

2

You may manually set the limits on the xaxis to give more space. Here you have values of 0 and 1 on the axis, so setting e.g. plt.xlim(-2,3) gives you some more space.

You could also automatically assign some proportion of the axes to be left free, e.g. to get 50% margin, you'd do

plt.margins(x=0.5)

answered Jun 6, 2017 at 8:32

ImportanceOfBeingErnest

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