Controlling Subplot Axis Ranges
In visualizing data using subplots, it is often necessary to adjust the axis ranges to enhance readability and emphasize specific features. This article addresses the issue of setting the y-axis range for a specific subplot.
Setting the Y-Axis Range for a Subplot
The y-axis range of a subplot can be modified using the pylab.ylim function. However, it is essential to note that this command takes effect after the plot has been created. Therefore, the correct placement of the command is crucial.
Example Script with Corrected Code
The following script provides an updated version of the code in the original question, with the pylab.ylim command placed correctly:
<code class="python">import numpy, scipy, pylab, random xs = [] rawsignal = [] with open("test.dat", 'r') as f: for line in f: if line[0] != '#' and len(line) > 0: xs.append( int( line.split()[0] ) ) rawsignal.append( int( line.split()[1] ) ) h, w = 3, 1 pylab.figure(figsize=(12,9)) pylab.subplots_adjust(hspace=.7) pylab.subplot(h,w,1) pylab.title("Signal") pylab.plot(xs,rawsignal) pylab.subplot(h,w,2) pylab.title("FFT") fft = scipy.fft(rawsignal) pylab.plot(abs(fft)) pylab.ylim([0,1000]) # Set the y-axis range for the subplot after plotting pylab.savefig("SIG.png",dpi=200) pylab.show()</code>
Additional Improvements
- Using pyplot instead of pylab: Since the use of pylab is discouraged in matplotlib, it is recommended to use matplotlib.pyplot instead.
- Using plt.xlim to set the x-axis range: Similar to plt.ylim, plt.xlim can be used to set the x-axis range of the subplot.
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