In matplotlib, to set or get X-axis and Y-axis limits, use xlim() and ylim() methods, accordingly.
ylim() to get the ylim of the plot on an axis. @dashesy You use set_xlim and set_ylim . plt has many fewer options than working directly with the axes object. In fact, almost every function in plt is a very thin wrapper that first calls ax = plt.
You have pylab.ylim
:
pylab.ylim([0,1000])
Note: The command has to be executed after the plot!
Update 2021
Since the use of pylab is now strongly discouraged by matplotlib, you should instead use pyplot:
from matplotlib import pyplot as plt
plt.ylim(0, 100)
#corresponding function for the x-axis
plt.xlim(1, 1000)
Using axes objects is a great approach for this. It helps if you want to interact with multiple figures and sub-plots. To add and manipulate the axes objects directly:
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(12,9))
signal_axes = fig.add_subplot(211)
signal_axes.plot(xs,rawsignal)
fft_axes = fig.add_subplot(212)
fft_axes.set_title("FFT")
fft_axes.set_autoscaley_on(False)
fft_axes.set_ylim([0,1000])
fft = scipy.fft(rawsignal)
fft_axes.plot(abs(fft))
plt.show()
Sometimes you really want to set the axes limits before you plot the data. In that case, you can set the "autoscaling" feature of the Axes
or AxesSubplot
object. The functions of interest are set_autoscale_on
, set_autoscalex_on
, and set_autoscaley_on
.
In your case, you want to freeze the y axis' limits, but allow the x axis to expand to accommodate your data. Therefore, you want to change the autoscaley_on
property to False
. Here is a modified version of the FFT subplot snippet from your code:
fft_axes = pylab.subplot(h,w,2)
pylab.title("FFT")
fft = scipy.fft(rawsignal)
pylab.ylim([0,1000])
fft_axes.set_autoscaley_on(False)
pylab.plot(abs(fft))
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With