Jae-Joon Lee wrote:
On Wed, Jan 20, 2010 at 2:04 PM, Eric Firing efir...@hawaii.edu wrote:
The reason for this fudge in contour is that contourf fills
lower z = upper
for each consecutive pair of contour levels.
When the minimum value of z coincides with the lowest level, then regions
with
On Thu, Jan 21, 2010 at 9:24 PM, Eric Firing efir...@hawaii.edu wrote:
I changed my mind and decided you are correct in thinking the change should
be made in contour.py. I now make the bottom boundary adjustment at the
last possible time, and in such a way that it does not change the levels
Hi,
it's probably a rather simple problem. Unfortunately I'm unable to solve it.
The following code example describes my problem:
import numpy as np
from matplotlib import pyplot,mpl
x = np.arange(10)
y = np.arange(25)
z = np.floor(10*np.random.random((25,10)))
pyplot.contourf(x,y,z)
cb =
2010/1/20 Mario Mech m...@meteo.uni-koeln.de:
cb = pyplot.colorbar(format=r%2.1f)
for j in cb.ax.get_yticklabels():
j.set_text('bla')
pyplot.show()
Doesn't do anything.
It looks like cb.ax.get_yticklabels() returns a list of copies of the
Text objects. Since you are only changing the
On 20.01.2010 14:55, Scott Sinclair wrote:
2010/1/20 Mario Mechm...@meteo.uni-koeln.de:
cb = pyplot.colorbar(format=r%2.1f)
for j in cb.ax.get_yticklabels():
j.set_text('bla')
pyplot.show()
Doesn't do anything.
It looks like cb.ax.get_yticklabels() returns a list of copies of the
Text
2010/1/20 Mario Mech m...@meteo.uni-koeln.de:
Ok, something like
cl = cb.ax.get_yticklabels()
cl[0].set_text('bla')
cb.ax.set_yticklabels([elem.get_text() for elem in cl])
This works for me.
But
cl = cb.ax.get_yticklabels()
results in a list of Text objects like Text(0,0,'').
I have
This works for me.
But
cl = cb.ax.get_yticklabels()
results in a list of Text objects like Text(0,0,'').
I have no idea what's happening then. I see:
for l in cl:
print(l)
Text(0,0,'bla')
Text(0.17,0.17,'1.5')
Text(0.33,0.33,'3.0')
Text(0.5,0.5,'4.5')
Mario Mech wrote:
...
#--
import numpy as np
from matplotlib import pyplot,mpl
x = np.arange(10)
y = np.arange(25)
z = np.floor(10*np.random.random((25,10)))
pyplot.contourf(x,y,z)
cb = pyplot.colorbar()
for j in cb.ax.get_yticklabels():
print(j)
#
results in:
On Wed, Jan 20, 2010 at 9:17 AM, Mario Mech m...@meteo.uni-koeln.de wrote:
cl = cb.ax.get_yticklabels()
results in a list of Text objects like Text(0,0,''). So my problem is more to
get the TickLabels for vertical colorbars.
Can you elaborate why you need to do this?
This is a general
On Wed, Jan 20, 2010 at 12:12 PM, Mario Mech m...@meteo.uni-koeln.de wrote:
the smallest value (0.0) is labeled with -0.0. I just want to get rid of
the minus sign.
This is because the actual value is -9.e-06 (this inherits
from the levels of contour).
While I think we're fixing a
Jae-Joon Lee wrote:
On Wed, Jan 20, 2010 at 12:12 PM, Mario Mech m...@meteo.uni-koeln.de wrote:
the smallest value (0.0) is labeled with -0.0. I just want to get rid of
the minus sign.
This is because the actual value is -9.e-06 (this inherits
from the levels of contour).
While I
Jae-Joon Lee wrote:
On Wed, Jan 20, 2010 at 12:12 PM, Mario Mech m...@meteo.uni-koeln.de wrote:
the smallest value (0.0) is labeled with -0.0. I just want to get rid of
the minus sign.
This is because the actual value is -9.e-06 (this inherits
from the levels of contour).
The
On Wed, Jan 20, 2010 at 2:04 PM, Eric Firing efir...@hawaii.edu wrote:
The reason for this fudge in contour is that contourf fills
lower z = upper
for each consecutive pair of contour levels.
When the minimum value of z coincides with the lowest level, then regions
with that minimum are left
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