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Axis limits are set badly with small values in scatter(). #9979
Description
I'm not sure if this is related to #7413
Bug report
Example:
%pylab
x = randn(1000) / 1e5
y = randn(1000) / 1e5
scatter(x, y)produces this:
It should really produce something more like this:
There's not an obvious way to do this, other than manually getting the min/max x and y values and adding a little bit and using ax.set_x/ylim()
Using conda on kubuntu:
matplotlib 2.1.0 py36hba5de38_0
python 3.6.3 h0ef2715_3
Activity
jklymak commentedon Dec 12, 2017
Yes, it's scatter's specialness. I bet plot doesn't do that.
naught101 commentedon Dec 12, 2017
No, plot() doesn't do that.
[-]Axis limits are set badly with small values.[/-][+]Axis limits are set badly with small values in scatter().[/+]LucyTishkina commentedon Mar 16, 2018
I have been trying to see why scatter is behaving in a different way. I realized that some of the code used by scatter is in _path.h. The get_path_collection_extents method gets called from path.py to figure out the dimensions to give to the bounding box. I would be interested in pursuing this further, but I am just not sure how to debug the c++ part of the library, any tips would be appreciated.
tacaswell commentedon Mar 16, 2018
@Lusura My knee jerk reaction is that the bug is not in the c++ layer, but in how we massage the returns of those calls in python.
One of the things scatter tries to take into account is that the size of the markers can vary in size which may be related to this.
Agree is in related to #7413.
jzwinck commentedon Nov 29, 2018
Here's a trivial demo which doesn't do what anyone would expect: https://stackoverflow.com/questions/53536688/matplotlib-automatically-sets-insane-datetime-x-axis-range
The code:
The result
Summary: The simplest possible scatter plot of a time series on a single date chooses nonsensically huge x bounds, making the plot useless for visualization by default.
anntzer commentedon Aug 6, 2019
AFAICT this (both examples) has been fixed by #13642. Feel free to reopen if something is missing.