I have a list of (x,y) values like below.
k = [(3, 6), (4, 7), (5, 8), (6, 9), (7, 10), (7, 2), (8, 3), (9, 4), (10, 5), (11, 6)]
I would like create a plot that draws lines on opposite axes like below with the assumption that the axis values are in the range 1-15.
Please find the figure here
.
I tried using twinx and twiny, but not exactly sure how to achieve this. I think it might be easier to do using Microsoft Excel, but I have all my values in python npy files.
You can draw a collection of line segments using LineCollection.
It is also possible to draw each line using plt.plot, but
when there are lots of line segments, using LineCollection is more efficient:
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.collections as mcoll
k = np.array([(3, 6), (4, 7), (5, 8), (6, 9), (7, 10),
(7, 2), (8, 3), (9, 4), (10, 5), (11, 6)])
x = np.array([0,1])
fig, ax = plt.subplots()
points = np.stack([np.tile(x, (len(k),1)), k], axis=2)
line_segments = mcoll.LineCollection(points, linestyles='solid', colors='black',
linewidth=2)
ax.add_collection(line_segments)
ax.set_xticks([0, 1])
# Manually adding artists doesn't rescale the plot, so we need to autoscale (https://stackoverflow.com/q/19877666/190597)
ax.autoscale()
plt.show()
It could be simple :
import matplotlib.pyplot as plt
[plt.plot(d) for d in k]
plt.ylabel('some numbers')
plt.show()
gives me :
And with the labels :
import matplotlib.pyplot as plt
[plt.plot(d) for d in k]
plt.ylabel('some numbers')
ax = plt.gca()
ax.xaxis.set_ticks([0,1])
ax.xaxis.set_ticklabels(["BaseLine", "FollowUp"])
plt.show()
