Closed
Description
When plotting time sequenced data, using matplotlib.dates.MinuteLocator(interval=1) to set the x-axis ticks results in a Runtime Error. If i keep the number of ticks < 1000, the code executes as expected.
Code for reproduction
import matplotlib as mpl
import matplotlib.pyplot as plt
import datetime
num_list=[]
date_list=[]
#Create List of Datetime Objects to Plot on X Axis
start = datetime.datetime(2017 , 2, 15)
end = datetime.datetime(2017, 2, 15, 15, 10, 0)
step=datetime.timedelta(minutes=1)
while start < end:
date_list.append(start)
start+=step
#Create List of Numbers to Plot on Y Axis
num=0
lastnum=len(date_list)
while num < lastnum:
num_list.append(num)
num+=1
locator = mpl.dates.MinuteLocator(interval=1)
fig, (ax1,ax2) = plt.subplots(2)
ax1.plot_date(date_list,num_list,'b.')
ax2.plot_date(date_list,num_list,'r.')
plt.gca().xaxis.set_major_locator(locator)
plt.show()Actual outcome
Exception in Tkinter callback
Traceback (most recent call last):
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\tkinter\__init__.py", line 1533, in __call__
return self.func(*args)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\backends\backend_tkagg.py", line 280, in resize
self.show()
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\backends\backend_tkagg.py", line 351, in draw
FigureCanvasAgg.draw(self)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\backends\backend_agg.py", line 464, in draw
self.figure.draw(self.renderer)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\artist.py", line 63, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\figure.py", line 1143, in draw
renderer, self, dsu, self.suppressComposite)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\image.py", line 139, in _draw_list_compositing_images
a.draw(renderer)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\artist.py", line 63, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\axes\_base.py", line 2409, in draw
mimage._draw_list_compositing_images(renderer, self, dsu)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\image.py", line 139, in _draw_list_compositing_images
a.draw(renderer)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\artist.py", line 63, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\axis.py", line 1136, in draw
ticks_to_draw = self._update_ticks(renderer)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\axis.py", line 969, in _update_ticks
tick_tups = [t for t in self.iter_ticks()]
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\axis.py", line 969, in <listcomp>
tick_tups = [t for t in self.iter_ticks()]
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\axis.py", line 912, in iter_ticks
majorLocs = self.major.locator()
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\dates.py", line 803, in __call__
return self.tick_values(dmin, dmax)
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\dates.py", line 825, in tick_values
return self.raise_if_exceeds(date2num(dates))
File "C:\Users\user****\AppData\Local\Continuum\Miniconda3\lib\site-packages\matplotlib\ticker.py", line 1305, in raise_if_exceeds
raise RuntimeError(msg)
RuntimeError: Locator attempting to generate 1000 ticks from 736374.96875 to 736375.6625: exceeds Locator.MAXTICKS
Expected outcome
I expect this to generate a plot with an x-tick every minute. In this case I am using plt.show() and manipulating the plot generated via the gui to save the interesting part.
If i change the date_list and num_list in the example code to contain 909 elements the plot is generated as I expect.
E.G:
#Create List of Datetime Objects to Plot on X Axis
start = datetime.datetime(2017 , 2, 15)
end = datetime.datetime(2017, 2, 15, 15, 9, 0)
step=datetime.timedelta(minutes=1)
while start < end:
date_list.append(start)
start+=stepIt seems that the issue lies with >=910 elements in the date_list generating >1000 x-ticks.
Matplotlib version
import matplotlib
matplotlib.version
'2.0.0'
import platform
platform.python_version()
'3.4.2'
I used Miniconda to originally install Python, and used PIP to upgrade to later versions.