CODEWITHSUNDEEP
pythonmatplotlib
Akshay
Akshay

Reputation: 2763

YTick overlapping in Matplotlib

I have been trying to plot data on Matplotlib and I seem to have overlapping YTicks. I am not sure how to adjust them.

Code

import matplotlib.pyplot as plt

data= [4270424, 4257372, 4100352, 4100356, 4100356]

plt.figure(figsize=(10,5))

plt.plot(data, 'ko-')
plt.ylabel('Data point')
plt.xlabel('Iteration point')
plt.yticks(data)

plt.margins(0.05, 0.1)
plt.show()

enter image description here

What I wanted is that the numbers to be there, but is it possible to increase the space between the data points?

Upvotes: 3

Views: 2238

Answers (1)

Erba Aitbayev
Erba Aitbayev

Reputation: 4333

If there are many close datapoints on y-axis, they overlap. You can avoid showing all of them. You can show only one of too close y-ticks. But the rest can be shown on the plot itself (not on y-axis).

Something like that can be used:

import matplotlib.pyplot as plt

data= [4270424, 4257372, 4100352, 4100356, 4100356]

fig, ax = plt.subplots(figsize=(10,8))

#Collect only those ticks that are distant enough from each other
#in order to get rid of ticks overlapping on y-axis:
yticks = [min(data)]         
for i in sorted(data[0:]):
  if i-yticks[-1] > 3500:      
    yticks.append(i)          
#################################################################

plt.plot(data, 'ko-')
plt.ylabel('Data point', fontsize=12)
plt.xlabel('Iteration point', fontsize=12)
plt.yticks(yticks)

plt.margins(0.05, 0.1) 


#Showing y-ticks right on the plot
offset = -1.45
x = ax.get_xticks()

for xp, yp in zip(x, data):
    label = "%s" % yp
    plt.text(xp-offset, yp+offset, label, fontsize=12, horizontalalignment='right', verticalalignment='bottom')
#################################

ax.grid()
plt.show()

Output: enter image description here

You can also switch off displaying yticks on y-axis completely. In this case change this line plt.yticks(yticks) to this: plt.yticks(yticks, visible=False) In this case you don't need ticks collecting part of code at all. But if you keep it, you can turn displaying on later if needed.

Upvotes: 4

Related Questions