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setting y-axis limit in matplotlib

I need help with setting the limits of y-axis on matplotlib. Here is the code that I tried, unsuccessfully.

import matplotlib.pyplot as plt

plt.figure(1, figsize = (8.5,11))
plt.suptitle('plot title')
ax = []
aPlot = plt.subplot(321, axisbg = 'w', title = "Year 1")
ax.append(aPlot)
plt.plot(paramValues,plotDataPrice[0], color = '#340B8C', 
     marker = 'o', ms = 5, mfc = '#EB1717')
plt.xticks(paramValues)
plt.ylabel('Average Price')
plt.xlabel('Mark-up')
plt.grid(True)
plt.ylim((25,250))

With the data I have for this plot, I get y-axis limits of 20 and 200. However, I want the limits 20 and 250.

Works for me with Matplotlib 1.0.0 if I add plt.show() at the end to show the plot. Which version and which backend are you using?
Working for me with Matplotlib 0.98.5.2, Python 2.6.2. I tried both plt.ylim((25,250)) and plt.ylim(ymax = 250, ymin = 25). I am using the Agg backend.
Thanks to both of you. Does it work with PDF backend for you.
note: axisbg is now deprecated
plt.ylim is the correct, modern solution to this problem. Here is a good resource: showmecode.info/matplotlib/axes/set-limits

M
Mateen Ulhaq

Get current axis via plt.gca(), and then set its limits:

ax = plt.gca()
ax.set_xlim([xmin, xmax])
ax.set_ylim([ymin, ymax])

BTW, this is a silly abbreviation means "get the current axes".
you can also set one value None which leaves the calculation to matplotlib, e.g. axes.set_ylim([ymin,None])
There are other options instead of using None as in @linqu 's post: set_ylim(bottom=None, top=None, [...], *, ymin=None, ymax=None). bottom and ymin (equivalent) for minimum. top and ymax) equivalent for maximum. You can't use both bottom and ymin at once. Same with top and ymax.
i
iacob

Another workaround is to get the plot's axes and reassign changing only the y-values:

x1,x2,y1,y2 = plt.axis()  
plt.axis((x1,x2,25,250))

You don't need to grab x1 and x2, you can have matplotlib infer these with None.
B
Birat Bose

One thing you can do is to set your axis range by yourself by using matplotlib.pyplot.axis.

matplotlib.pyplot.axis

from matplotlib import pyplot as plt
plt.axis([0, 10, 0, 20])

0,10 is for x axis range. 0,20 is for y axis range.

or you can also use matplotlib.pyplot.xlim or matplotlib.pyplot.ylim

matplotlib.pyplot.ylim

plt.ylim(-2, 2)
plt.xlim(0,10)

m
mechnicov

You can instantiate an object from matplotlib.pyplot.axes and call the set_ylim() on it. It would be something like this:

import matplotlib.pyplot as plt
axes = plt.axes()
axes.set_ylim([0, 1])

l
loved.by.Jesus

Just for fine tuning. If you want to set only one of the boundaries of the axis and let the other boundary unchanged, you can choose one or more of the following statements

plt.xlim(right=xmax) #xmax is your value
plt.xlim(left=xmin) #xmin is your value
plt.ylim(top=ymax) #ymax is your value
plt.ylim(bottom=ymin) #ymin is your value

Take a look at the documentation for xlim and for ylim


A
Antti A

This worked at least in matplotlib version 2.2.2:

plt.axis([None, None, 0, 100])

Probably this is a nice way to set up for example xmin and ymax only, etc.


S
Steven C. Howell

To add to @Hima's answer, if you want to modify a current x or y limit you could use the following.

import numpy as np # you probably alredy do this so no extra overhead
fig, axes = plt.subplot()
axes.plot(data[:,0], data[:,1])
xlim = axes.get_xlim()
# example of how to zoomout by a factor of 0.1
factor = 0.1 
new_xlim = (xlim[0] + xlim[1])/2 + np.array((-0.5, 0.5)) * (xlim[1] - xlim[0]) * (1 + factor) 
axes.set_xlim(new_xlim)

I find this particularly useful when I want to zoom out or zoom in just a little from the default plot settings.


E
Eric O Lebigot

This should work. Your code works for me, like for Tamás and Manoj Govindan. It looks like you could try to update Matplotlib. If you can't update Matplotlib (for instance if you have insufficient administrative rights), maybe using a different backend with matplotlib.use() could help.


Thanks for checking! I am using the pdf backend (matplotlib.use('PDF')). I am using the version that comes with latest version of the Enthought Python Distribution. Can you please see if it works with the PDF backend. Thanks!
It does work with the PDF backend, on Mac OS X. Are you sure that the output file is indeed updated with plt.savefig()?
I realized the problem, I think. If I take out aPlot = in the plt.subplot line it works for me too. It seems that if one assigns the subplot to a variable like that, some other method of setting the axes limits must be used. Is that true?
As far as I know, plt.ylim() applies the limits to the current axes, which are set when you do plt.subplot(). I also can't believe that plt.subplot() care about how the axes it returns are used (put into a variable or not, etc.). So I'd say it should work; it does work on my machine.