this gets close: fig = plt.figure( figsize=(8, 4 ) ) ax = fig.add_axes( [.05, .1, .9, .85 ] ) ax.set_yticks( np.linspace(0, 200, 11 ) ) xticks = [ 2, 3, 4, 6, 8, 10 ] xticks_minor = [ 1, 5, 7, 9, 11 ] xlbls = [ ‘background’, ‘5 year statistical summary’, ‘future build’, ‘maximum … Read more
The bound can changes automatically, if you later plot something that is not within the bound. In contrast, limits are fixed and do not change automatically. import pylab as p t = p.arange(0.0, 2.0, 0.01) s = p.sin(2*p.pi*t) ax=p.subplot(111) ax.plot(t, s, color=”r”,linewidth=1.0) ax.set_ylim(-1,1) ax.plot(t, s+1, color=”g”,linewidth=1.0, label=”Graph2″) p.show() ax=p.subplot(111) ax.plot(t, s, color=”r”,linewidth=1.0) ax.set_ybound(-1,1) ax.plot(t, s+1, … Read more
While Joe Kington certainly proposes the most sensible answer when he recommends that only the necessary data be plotted, there are situations where it would be best to plot all of the data and just zoom to a certain section. Additionally, it would be nice to have an “autoscale_y” function that only requires the axes … Read more
Set the xlim and ylim properties on the Artist object by matplotlib.pyplot.setp() https://matplotlib.org/3.1.0/api/_as_gen/matplotlib.pyplot.setp.html # Importing matplotlib.pyplot package. import matplotlib.pyplot as plt # Assigning ‘fig’, ‘ax’ variables. fig, ax = plt.subplots(2, 2) # Defining custom ‘xlim’ and ‘ylim’ values. custom_xlim = (0, 100) custom_ylim = (-100, 100) # Setting the values for all axes. plt.setp(ax, xlim=custom_xlim, … Read more
Get current axis via plt.gca(), and then set its limits: ax = plt.gca() ax.set_xlim([xmin, xmax]) ax.set_ylim([ymin, ymax])
Update: This answer is outdated since matplotlib version 3.5. The plot function now handles datetime data directly. See https://matplotlib.org/3.5.1/api/_as_gen/matplotlib.pyplot.plot_date.html The use of plot_date is discouraged. This method exists for historic reasons and may be deprecated in the future. datetime-like data should directly be plotted using plot. If you need to plot plain numeric data as … Read more
I had a problem with the answer by @mwaskorn, namely that g.set_xticklabels(rotation=30) fails, because this also requires the labels. A bit easier than the answer by @Aman is to just add plt.xticks(rotation=45)