Single origin value for python matplotlib plot

Question

I have a simple plot executed using matplotlib. My x and y axes start at 0,0 respectively. A matplotlib plot shows 2 zeros corresponding to the 2 axes. I want only one zero (somewhere in the middle of the start point, if possible). How can this be done?

Here's what I used:

import matplotlib.pyplot as plt

plt.plot([1,2,3], [4,5,6])
plt.xlim([0,5])
plt.ylim([0,10])
plt.show()

UPDATE:

I used @nostradamus' solution and it got rid of one of the zeros. I want the zero a little centred if possible.

I used:

plt.gca().xaxis.set_major_locator(MaxNLocator(prune='lower')) 
plt.gca().yaxis.get_majorticklabels()[0].set_x(-0.05)

I want the reverse of this. I want the zero on the y axis to move down or the one from x axis left. So tried:

plt.gca().yaxis.set_major_locator(MaxNLocator(prune='lower')) 
plt.gca().xaxis.get_majorticklabels()[0].set_x(-0.05)

It doesn't work. I think the bottom and left boundaries for the zeros are set to ensure they don't go beyond the area.

nostradamus · Accepted Answer · 2016-09-13 07:56:07Z

3

The keyword is prune, which allows you to kill the upper, lower or both tick labels. Here is a working examples that gets rid of the 0 of the x-axis:

import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator

plt.plot([1,2,3], [4,5,6])
plt.xlim([0,5])
plt.ylim([0,10])
plt.gca().xaxis.set_major_locator(MaxNLocator(prune='lower'))
plt.show()

The second part (to move the remaining zero to the corner) seems to be much more difficult. It seems that you can move single tick labels using

plt.gca().yaxis.get_majorticklabels()[0].set_x(-0.05)

However, I was unable to figure out how to move it below the lower limit of the corresponding axis (i.e. plt.gca().yaxis.get_majorticklabels()[0].set_y(-0.05) is doing nothing).

answered Sep 13, 2016 at 7:56

nostradamus

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1 Comment

Hans Krupakar Over a year ago

Thanks so much. I didn't know about prune. And yeah it seems to be really difficult editing the graphs created using pyplot

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