Final update.
I've done some more searching, and found a couple more things. It seems
that this problem occurs with the backend set to "Agg"
(`matplotlib.use("agg")), so it isn't related to the interactive backends.
In addition, the problem does not occur with a random Polygon object added
to an axes; however, I do see the problem when the same polygon is added to
the axes as a PolyCollection. See code below.
Ryan
#####
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.collections import PolyCollection
x = np.linspace(0, np.pi*2, 1000)
y = np.sin(x)
ax = plt.axes()
data =np.array([(0,0), (1,0), (1,1), (0,1)])
# These three lines work fine.
poly = plt.Polygon(data)
poly.set_linewidth(0)
ax.add_patch(poly)
# Comment out the three lines above
# Uncomment next three lines, does not work.
#col = PolyCollection([data])
#col.set_linewidth(0.0)
#ax.add_collection(col)
plt.axis([-2, 2, -2, 2])
plt.savefig('junk')
#####
On Mon, Dec 8, 2014 at 5:02 PM, Ryan Nelson <[email protected]> wrote:
> Update 2.
>
> I made a new Anaconda Python 2.7 environment and cycled through some
> different MPL versions. Everything works as I would expect in 1.4.0;
> however, moving to 1.4.1 is when the problem occurs. I see this same
> problem if I do the OO commands instead of pyplot.
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.linspace(0, np.pi*2, 1000)
> y = np.sin(x)
>
> ax = plt.axes()
> fill = ax.fill_between(x, y-0.1, y+0.1)
> fill.set_linewidth(0)
>
> plt.show()
>
> On Mon, Dec 8, 2014 at 3:38 PM, Ryan Nelson <[email protected]> wrote:
>
>> Update.
>>
>> This is a problem also in Anaconda Py3.4 with MPL 1.4.2, but it works
>> without a problem on MPL 1.4.0.
>>
>> Ryan
>>
>> On Mon, Dec 8, 2014 at 12:15 PM, Ryan Nelson <[email protected]>
>> wrote:
>>
>>> Hello all,
>>>
>>> I'm having an issue with fill_between. It seems that setting the keyword
>>> `linewidth=0` removes the entire patch, rather than the just the bounding
>>> lines. Example:
>>>
>>> ####
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>>
>>> x = np.linspace(0, 2*np.pi, 1000)
>>> y = np.sin(x)
>>>
>>> plt.fill_between(x, y-0.1, y+0.1, linewidth=0) # Setting this !=0 works
>>> fine
>>> plt.plot(x, y, 'k')
>>> plt.show()
>>> ####
>>>
>>> I'm using MPL version 1.4.2 on Python 2.7.8 (Gentoo Linux). This used to
>>> work fine before, but maybe there is a new way to do what...
>>>
>>> Thanks
>>>
>>> Ryan
>>>
>>>
>>>
>>
>
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