1

Basically I'm in a situation where I want to lock down the starting point of the graph depending on the first graph that's plotted.

e.g. If i do something like this.

import matplotlib.pyplot as plt
plt.plot([7,8,9,10], [1,4,9,16], 'yo')
plt.plot([1,9,11,12], [1,4,9,16], 'ro')
plt.show()

I would like a way to restrict the x-axis to start from 7 so (1,1) from the second plot will be removed.

Is there a way to do this? I could keep track of it myself but just curious if there's something built in to handle this.

Thanks.

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3 Answers 3

Reset to default
6

Matplotlib offers you two ways:

import matplotlib.pyplot as plt
plt.plot([7,8,9,10], [1,4,9,16], 'yo')
plt.plot([1,9,11,12], [1,4,9,16], 'ro')
plt.xlim(xmin=7)
plt.show()

or the more object-oriented way

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([7,8,9,10], [1,4,9,16], 'yo')
ax.plot([1,9,11,12], [1,4,9,16], 'ro')
ax.set_xlim(xmin=7)
plt.show()

If you don't use IPython, I highly recommend it since you can create the axes object and then type ax.<Tab> and see all of your options. Autocomplete can be a wonderful thing in this case.

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3

You can turn auto-scaling off after the first plot (doc):

ax = plt.gca()
ax.autoscale(enable=False)

which will lock down all of the scales (you can do x and y separately as well).

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Comments

3

In short: plt.xlim().

In long:

import matplotlib.pyplot as plt
x1, y1 = ([7,8,9,10], [1,4,9,16])
plt.plot(x1, y1, 'yo')
plt.xlim(min(x1), max(x1))
plt.plot([1,9,11,12], [1,4,9,16], 'ro')
plt.show()
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