When I plot data using Matplotlib, the axes are always plotted by default as a box framing the plot. Let's say I am plotting data within axis limits -2 < x < 2
and -2 < y < 2
, but I would like to draw axis lines inside this plot area through the origin, preferably with ticks and tick labels along these axis lines - not along the outer frame.
Import matplotlib. To create subplot, use subplots() function. Next, define data coordinates using range() function to get multiple lines with different lengths. To plot a line chart, use the plot() function.
This is well documented in the spines example (old link) / spine placement demo (new link).
You are going to turn off the right and top spines (e.g. spines['right'].set_color('none')
), and move the left and bottom spines to the zero position (e.g. spines['left'].set_position('zero')
).
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
x = np.linspace(-np.pi, np.pi, 100)
y = 2*np.sin(x)
ax = fig.add_subplot(111)
ax.set_title('zeroed spines')
ax.plot(x, y)
ax.spines['left'].set_position('zero')
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position('zero')
ax.spines['top'].set_color('none')
# remove the ticks from the top and right edges
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
I can at least give a half-complete answer. Yes, you can easily draw the axis lines. It is as simple as
plt.axvline(0)
plt.axhline(0)
The original axes will remain, but can be turned off with plt.axis('off')
.
It will also not give you any tick marks.
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