I am plotting horizontal lines but I am getting all in the same plot. I want a line per subplot. I tried using ax
and I do get the subplots but all the lines are plotted in the last subplot. What can I change?
Also, I want to assign a color to each integer of the random array. So when I plot the lines, I also see the different colors and not just the different lengths.
I already did this:
import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots(3, 3)
randnums= np.random.randint(0,10,9)
y= np.random.randint(1,10,9)
print(randnums)
plt.hlines(y=y, xmin=1, xmax=randnums)
Thank you!
You need to loop over the axes instances and call hlines
from each Axes
. To assign colours, you could create a list of colours from the colormap and iterate over that too at the same time. For example:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
fig, axes = plt.subplots(3, 3, sharex=True, sharey=True)
colours = [cm.viridis(i) for i in np.linspace(0, 1, 9)]
randnums = np.random.randint(0, 10, 9)
y = np.random.randint(1, 10, 9)
print(randnums)
for yy, num, col, ax in zip(y, randnums, colours, axes.flat):
ax.hlines(y=yy, xmin=1, xmax=num, color=col)
axes[0, 0].set_xlim(0, 10)
axes[0, 0].set_ylim(0, 10)
plt.show()
I'm not sure exactly what are you looking for, but if you need one random line per subplot, then you can do this:
import numpy as np
import matplotlib.pyplot as plt
fig, axes = plt.subplots(3, 3, figsize=(10, 10), sharex=True, sharey=True)
line_lengths = np.random.randint(0, 10 ,9)
ys = np.random.randint(1, 10 ,9)
colors = plt.cm.rainbow(np.linspace(0, 1, len(ys)))
for y, line_length, color, ax in zip(ys, line_lengths, colors, axes.flat):
ax.hlines(y=y, xmin=1, xmax=line_length, colors=color)
Edit: using tmdavison 's solution with zip
is definitely a cleaner solution than nested for loops, so I decided to edit the answer.
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