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Hi all,
I am using matplotlib-1.4.2, but when I try to plot a colorbar and define
its position using argument 'anchor', it raises an error:
TypeError: __init__() got an unexpected keyword argument 'anchor'
Does anyone have any clue for this?
Thank you very much!

The test script is as follows:

import numpy as np
import matplotlib.pyplot as plt

a=np.random.randn(100,150)
fig,ax=plt.subplots()
im=ax.imshow(a)
fig.colorbar(im,anchor=(0.,0.5))
plt.show()



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Jody,

perfect - that work's fine.

Regards, Sappy85



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I am getting something, but the speckled stuff is all on one side, and all
monochromatic for most of the pcolormesh plot. I am using basemap 1.0.7 and
a development version of matplotlib. Your code looks correct, so I don't
know what is wrong. Probably worth filing a bug report:
https://github.com/matplotlib/basemap/issues

Ben Root

On Mon, Dec 8, 2014 at 7:24 PM, Timothy W. Hilton <th...@uc...>
wrote:

> Hello,
>
> I am experiencing strange behavior using mpl_toolkits.basemap.Basemap.
> My understanding is that pcolormesh is faster than pcolor, and thus
> preferable.  Here is a minimal example (below) where I get a different
> plot from pcolormesh than from pcolor.
>
> On two systems (mac os x 10.9.5; Ubuntu 11.04 (GNU/Linux 2.6.32.28
> x86_64); basemap 1.0.7 on the mac and 1.0.8 on the Ubuntu machine; both
> using matplotlib 1.4.2) I get the expected grid of random colors from
> pcolor, but a monochrome plot from pcolormesh.
>
> Is this expected?  Are there circumstances in which I should be using
> pcolor instead of pcolormesh?  Is this a bug in matplotlib or in
> basemap?
>
> Many thanks!
>
> Tim
>
> --
>
> Timothy W. Hilton
> Assistant Project Scientist
> School of Engineering
> University of California, Merced
> th...@uc...
>
> #==================================================
> # minimal example
>
> import matplotlib.pyplot as plt
> from mpl_toolkits.basemap import Basemap
> import numpy as np
>
> def setup_map(ax):
>
>     m = Basemap(width=8.0e6,
>                 height=6.5e6,
>                 projection='aeqd',
>                 lat_0=54,
>                 lon_0=-105,
>                 resolution='l',
>                 area_thresh=1000,
>                 rsphere=6371007.181000,
>                 fix_aspect=True,
>                 ax=ax)
>     m.drawcoastlines()
>     m.drawcountries()
>     m.drawstates()
>     return(m)
>
> # create pseudo-data with longitudes and latitudes
> lon, lat = np.meshgrid(np.arange(-180, 180),
>                        np.arange(90, -90, -1))
> data = np.random.rand(*lon.shape) * 100
>
> # two-panel figure
> fig, ax = plt.subplots(nrows=1, ncols=2)
>
> # plot pseoddata in left panel using pcolormesh
> m0 = setup_map(ax[0])
> cm = m0.pcolormesh(lon, lat, data, latlon=True,
>               vmin=0.0, vmax=100.0, cmap=plt.cm.get_cmap("Blues"))
> plt.colorbar(cm, ax=ax[0])
> ax[0].set_title('pcolormesh')
>
> # plot pseoddata in left panel using pcolor
> m1 = setup_map(ax[1])
> cm = m1.pcolor(lon, lat, data, latlon=True,
>           vmin=0.0, vmax=100.0, cmap=plt.cm.get_cmap("Blues"))
> plt.colorbar(cm, ax=ax[1])
> ax[1].set_title('pcolor')
>
> plt.show()
>
>
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A git clone would likely have set the default branch to master, which
tracks our development branch. Releases are tagged, and the latest release
has an active maintenance branch if you want to switch to that.

Cheers!
Ben Root

On Wed, Dec 10, 2014 at 10:24 AM, brown wrap <gr...@ya...> wrote:

> I am a bit confused. I installed the latest version of matplotlib from
> git, which should have been 1.4.2, but it shows up as 1.5.x. That is what
> PKG-INFO says as well in the source tree. I posted this yesterday, but I
> included an attachment.
>
> Greg
>
>
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>

I am a bit confused. I installed the latest version of matplotlib from git, which should have been 1.4.2, but it shows up as 1.5.x. That is what PKG-INFO says as well in the source tree. I posted this yesterday, but I included an attachment.
Greg

Not sure, as I don't use basemap too often, but I bet calling:

m.drawmapboundary(fill_color='w')

before clabel would do the trick

Cheers,   Jody


> On Dec 9, 2014, at  16:35 PM, Sappy85 <rob...@gm...> wrote:
> 
> Hi @all,
> the problem seems to be solved. Thanks Jody! 
> What i have done:
> 
> 1.) check out the xlim and ylim after clabel call
> *xmin, xmax = plt.xlim()  # return the current xlim
> ymin, ymax = plt.ylim()  # return the current ylim
> print xmin,xmax
> print ymin,ymax*
> 
> 2.) use and set these limits before clabel call:
> *plt.xlim(0.0,6475051.47849)
> plt.ylim(0.0,4412688.31468)*
> 
> Yes, that's it. Very confusing! I do not understand why that only goes so
> awkward? 
> 
> Thanks so much!
> Sappy85
> 
> 
> 
> 
> 
> 
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Pyplot-contour-plot-clabel-padding-tp44554p44582.html
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> 
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 The latest version of Matplotlib is supposed to be 1.4.2, yet after the installation, when I checked the version, it came up 1.5.x.
Attached is the PKG-INFO I found in the source tree. Thanks.

Hi @all,
the problem seems to be solved. Thanks Jody! 
What i have done:

1.) check out the xlim and ylim after clabel call
*xmin, xmax = plt.xlim()  # return the current xlim
ymin, ymax = plt.ylim()  # return the current ylim
print xmin,xmax
print ymin,ymax*

2.) use and set these limits before clabel call:
*plt.xlim(0.0,6475051.47849)
plt.ylim(0.0,4412688.31468)*

Yes, that's it. Very confusing! I do not understand why that only goes so
awkward? 

Thanks so much!
Sappy85






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