By default, matplotlib will use something like the TkAgg backend. This requires an X-server to be running. While you can just use X-forwarding, there will be a noticeable lag as matplotlib tries to connect with the remote X-server. If you don’t need to interact with the plot, it’s often nicer to speed things up by … Read more
The formatting of tick labels is controlled by a Formatter object, which assuming you haven’t done anything fancy will be a ScalerFormatterby default. This formatter will use a constant shift if the fractional change of the values visible is very small. To avoid this, simply turn it off: plt.plot(arange(0,100,10) + 1000, arange(0,100,10)) ax = plt.gca() … Read more
Just call fig.tight_layout() as you normally would. (pyplot is just a convenience wrapper. In most cases, you only use it to quickly generate figure and axes objects and then call their methods directly.) There shouldn’t be a difference between the QtAgg backend and the default backend (or if there is, it’s a bug). E.g. import … Read more
Common grounds Both, add_axes and add_subplot add an axes to a figure. They both return a (subclass of a) matplotlib.axes.Axes object. However, the mechanism which is used to add the axes differs substantially. add_axes The calling signature of add_axes is add_axes(rect), where rect is a list [x0, y0, width, height] denoting the lower left point … Read more
You can put two figures inside one figure environment. For example: \begin{figure}[p] \centering \includegraphics{fig1} \caption{Caption 1} \includegraphics{fig2} \caption{Caption 2} \end{figure} Each caption will generate a separate figure number.
In pandoc you can even do:  See figure \ref{mylabel}.
I think this would be best explained by the following picture: To initialize the above, one would type: import matplotlib.pyplot as plt fig = plt.figure() fig.add_subplot(221) #top left fig.add_subplot(222) #top right fig.add_subplot(223) #bottom left fig.add_subplot(224) #bottom right plt.show()
Every time you are creating plots you might get this error – “Error in plot.new() : figure margins too large“. To avoid such errors you can first check par(“mar”) output. You should be getting: [1] 5.1 4.1 4.1 2.1 To change that write: par(mar=c(1,1,1,1)) This should rectify the error. Or else you can change the … Read more
I’m not sure whether it is a new feature in later versions of matplotlib, but at least for 1.3.1, this is simply: plt.title(figure_title, y=1.08) This also works for plt.suptitle(), but not (yet) for plt.xlabel(), etc.
If you find yourself doing things like this regularly it may be worth investigating the object-oriented interface to matplotlib. In your case: import matplotlib.pyplot as plt import numpy as np x = np.arange(5) y = np.exp(x) fig1, ax1 = plt.subplots() ax1.plot(x, y) ax1.set_title(“Axis 1 title”) ax1.set_xlabel(“X-label for axis 1”) z = np.sin(x) fig2, (ax2, ax3) … Read more