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Say I have a matplotlib axes called ax, and I want to set several of its properties. Currently, I do it like this:
ax.set_yscale('log') ax.set_xlim([0,10]) ax.set_xlabel('some label') But it gets tedious after a while. Then I ran into this method:
ax.set(yscale='log', xlim=[0,10], xlabel='some label') Much more concise, but it seems a bit undocumented. I mean all the documentation says is "A tkstyle set command, pass kwargs to set properties".
What is the preferred or idiomatic way? Is the set method api stable?
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By using xlim() and ylim() methods In matplotlib, to set or get X-axis and Y-axis limits, use xlim() and ylim() methods, accordingly. These methods define the limits for respective axes if arguments are passed, and if no arguments are passed, we obtain a range of the respective axes.
The Axes.set_figure () function in axes module of matplotlib library is used to set the Figure for this Axes. Syntax: Axes.set_figure (self, fig) Parameters: This method accepts only one parameter. fig : This parameter is the Figure instance.
You can control the defaults of almost every property in Matplotlib: figure size and DPI, line width, color and style, axes, axis and grid properties, text and font properties and so on.
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
How to Set X-Axis Values in Matplotlib You can use the following syntax to set the x-axis values for a plot in Matplotlib: #specify x-axis locations x_ticks = [2, 4, 6, 8, 10] #specify x-axis labels x_labels = ['A', 'B', 'C', 'D', 'E'] #add x-axis values to plot plt.xticks(ticks=x_ticks, labels=x_labels)
Pyplot tutorial appears to recommend ax.set_xxx() functions, but also mentions .setp(xxx=).
On the other hand, .set(xxx=) function is not used and .setp(xxx=), while documented, is not used in any examples (Pyplot API).
I understand it that matplotlib supports both imperative programming style and matlab-like style. Reason being the target user bases -- those already familiar with Python and those who used Matlab before.
I conclude that matplotlib recommended api is .set_xxx().
A quick check through the gallery confirms this.
Edit: it appears there are examples of both in the gallery now.
Similar duality exists for keyword arguments to plot functions, except that imperative API is not that obvious.
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