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I am trying to plot a simple lineplot using matplotlib, but it automatically changes the range of my plot.

My code:

y2=[49973731579774.89, 49973731579774.82, 49973731579774.76, 49973731579774.71, 49973731579774.66, 49973731579774.62, 49973731579774.59, 49973731579774.57, 49973731579774.555, 49973731579774.55, 49973731579774.52, 49973731579774.516, 49973731579774.51, 49973731579774.51, 49973731579774.5, 49973731579774.5, 49973731579774.49, 49973731579774.49, 49973731579774.49, 49973731579774.484, 49973731579774.48, 49973731579774.48, 49973731579774.47, 49973731579774.47, 49973731579774.47, 49973731579774.47, 49973731579774.46, 49973731579774.46, 49973731579774.45, 49973731579774.45, 49973731579774.45, 49973731579774.45, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.44, 49973731579774.44, 49973731579774.44, 49973731579774.44, 49973731579774.44, 49973731579774.43, 49973731579774.43, 49973731579774.42, 49973731579774.42, 49973731579774.42, 49973731579774.42, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39,49973731579774.39]
x=np.arange(len(y2))
plt.ylim(np.min(y2),np.max(y2))
plt.plot(x,y2,label='Validation MSE',color="orange")

This is what I get:

enter image description here

I want to remove what I've enclosed in the red square of the image above and keep the original range, how can I do it?

Thanks in advance.

Edit:

I have tried changing the tick parameters like here: prevent scientific notation in matplotlib.pyplot

Using the following commands:

fig, ax = plt.subplots()
y2=[49973731579774.89, 49973731579774.82, 49973731579774.76, 49973731579774.71, 49973731579774.66, 49973731579774.62, 49973731579774.59, 49973731579774.57, 49973731579774.555, 49973731579774.55, 49973731579774.52, 49973731579774.516, 49973731579774.51, 49973731579774.51, 49973731579774.5, 49973731579774.5, 49973731579774.49, 49973731579774.49, 49973731579774.49, 49973731579774.484, 49973731579774.48, 49973731579774.48, 49973731579774.47, 49973731579774.47, 49973731579774.47, 49973731579774.47, 49973731579774.46, 49973731579774.46, 49973731579774.45, 49973731579774.45, 49973731579774.45, 49973731579774.45, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.445, 49973731579774.44, 49973731579774.44, 49973731579774.44, 49973731579774.44, 49973731579774.44, 49973731579774.43, 49973731579774.43, 49973731579774.42, 49973731579774.42, 49973731579774.42, 49973731579774.42, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.414, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.41, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.4, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39, 49973731579774.39,49973731579774.39]
x=np.arange(len(y2))
plt.ylim(np.min(y2),np.max(y2))
ax.ticklabel_format(useOffset=False, style='plain')
plt.plot(x,y2,label='Validation MSE',color="orange")
plt.show()

But what just the range is changed, I want to keep the decimals. enter image description here

New Edit:

THIS IS THE IMAGE I WANT: enter image description here

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8
  • 1
    What do you mean by original range? Do you mean you want to keep the numbers 0.4062, 0.5078... 0.9062 and just remove the +4.99737...e13? Also, why have you used x=np.arange(y2)? I think it should be x=np.arange(len(y2)) Commented Feb 11, 2020 at 15:20
  • Give us the code that reproduces this image. The code you gave is wrong Commented Feb 11, 2020 at 15:22
  • Why you set my question as duplicated if I am totally asking other things? It is true the code is not totally right because the copy/paste effect, but first, you should have to read the question. I don't want to prevent the scientific notation, I just want to delete the "+4...e13". Brainy... Commented Feb 11, 2020 at 16:55
  • If you just want to delete "+4...e13" then use the first line from this answer which I linked. You should have made it clearer in this answer. I already asked you in my first comment. So yes, I linked the correct duplicates. You should just have tried the answers there Commented Feb 11, 2020 at 17:00
  • 1
    Ok, reopened. I still don't understand what your final desired plot should look like. Your question "I want to remove what I've enclosed in the red square of the image above and keep the original range, how can I do it?" is highly unclear.. You still haven't answered my first comment "What do you mean by original range?". Better to include some sample desired figure (even if handmade) Commented Feb 11, 2020 at 17:06

1 Answer 1

Reset to default
1

Try the following workaround. 

fig, ax = plt.subplots()
y2 = np.array([49973731579774.89, 49973731579774.82, ....]) # Convert to NumPy array

x = np.arange(len(y2))
plt.ylim(np.min(y2), np.max(y2))

ax.ticklabel_format(useOffset=False, style='plain')
ax.plot(x, y2, label='Validation MSE',color="orange")

# Extract the current, default ticklabels and convert them to floats
# Then subtract the lowest, closest integer value to just keep the decimals
fig.canvas.draw()
new_ticks = [round(float(i.get_text().strip('$'))-np.floor(min(y2)), 4) for i in ax.get_yticklabels()]

# Set the new, desired ticklabels
ax.set_yticklabels(new_ticks);

enter image description here

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2 Comments

I still don't get why ax.yaxis.offsetText.set_visible(False) is not the solution to be honest
@user8408080 : this is the solution BUT the OP wants to have the decimals only.. One way is to just plot ax.plot(x, y2-np.floor(min(y2)) and get rid of the ylim and then use a formatter for float width for the tick labels. I tried that but the ticks are now at 0.4, 0.5, 0.6, 0.7, 0.8. I think OP wants strictly the values shown in the graph

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