Setting axes.linewidth without changing the rcParams global dict

Question

So, it seems one cannot do the following (it raises an error, since axes does not have a set_linewidth method):

axes_style = {'linewidth':5}
axes_rect = [0.1, 0.1, 0.9, 0.9]

axes(axes_rect, **axes_style)

and has to use the following old trick instead:

rcParams['axes.linewidth'] = 5 # set the value globally

... # some code

rcdefaults() # restore [global] defaults

Is there an easy / clean way (may be one can set x- and y- axes parameters individually, etc)?

If no, why?

Broker

Answer 1

• This answer does not work, as it is explained in the comments. I suggest using spines.
• As mentioned in a comment by Czechnology, consider changing the ticks too.

import matplotlib.pyplot as plt

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))

ax1.set_title('Normal spine and ticks')
ax2.set_title('Adjusted spine and ticks')

# change each spine separately:
# ax.spines['right'].set_linewidth(0.5)

# change all spines
for axis in ['top','bottom','left','right']:
    ax2.spines[axis].set_linewidth(4)

# increase tick width
ax2.tick_params(width=4)

plt.show()

• see more about spines at:
  • http://matplotlib.org/api/spines_api.html
  • http://matplotlib.org/examples/pylab_examples/multiple_yaxis_with_spines.html

Partition

Answer 2

plt.setp(ax.spines.values(), linewidth=5)

Bromide

Answer 3

Yes, there's an easy and clean way to do this.

Calling 'axhline' and 'axvline' from an axis instance appears to be the technique endorsed in the MPL Documentation.

In any event, it is simple and gives you fine-grained control over the appearance of the axes.

So for instance, this code will create a plot and color the x-axis green and increase the line width of the x-axis from a default value of "1" to a value of "4"; the y-axis is colored red and the line width of the y-axis is increased from "1" to "8".

from matplotlib import pyplot as PLT
fig = PLT.figure()
ax1 = fig.add_subplot(111)

ax1.axhline(linewidth=4, color="g")        # inc. width of x-axis and color it green
ax1.axvline(linewidth=4, color="r")        # inc. width of y-axis and color it red

PLT.show()

The axhline/axvline function accepts additional arguments which ought to allow you do any pretty much whatever you want aesthetically, in particular any of the ~matplotlib.lines.Line2D properties are valid kwargs (e.g., 'alpha', 'linestyle', capstyle, joinstyle).

Congeal

Is that MC foreign language training, btw? :) – Broker

At least in the latest version of matplotlib, this code creates an horizontal line at y=0 and a vertical line at x=0. This is not the same as changing the color/thickness of the axes. – Alejandraalejandrina

@Alejandraalejandrina So it got effectively broken, or not? – Broker

This answer is not clear. This is not changing the axes thickness (as implied) it is simply overlaying a horizontal and vertical coloured line at a default "0" location. The answer misses that positional parameter which is fairly important when plotting date-time axes as "0" is 1970-01-01. The ax.spines answer is a better answer in relation to the OP's question – Spinescent

Answer 4

If you're recursively creating (non-rectangular) axes using pyplot, you can change the linewidth parameter for each ax.

For instance:

import matplotlib.pyplot as plt

plt.figure(figsize = figsize)
fig, ax = plt.subplots(figsize = figsize)
for shape in sf.shapeRecords():
    x = [i[0] for i in shape.shape.points[:]]
    y = [i[1] for i in shape.shape.points[:]]
    ax.plot(x, y, 'k', linewidth=5)

For documentation, see MPL.axes documentation (Scroll down until "Other Parameters" -> **kwargs)

N.B. "If you make multiple lines with one plot command, the kwargs apply to all those lines."

Maybe this solution is related to a different question asked elsewhere, but I found this page looking for a solution to my own problem, so maybe it can help others looking for the same thing.

Rowdyism