Re: [Matplotlib-users] TypeError: unsupported operand type(s) for +: 'NoneType' and 'float' on 1.2.1
Hi, I experienced similar error under python 2.7.5 win32 after dirty-upgrading from mpl 1.2.1 to 1.3.1 (w/o first removing the old version). A clean install solved the problem. Cheers, Gregorio -- DreamFactory - Open Source REST JSON Services for HTML5 Native Apps OAuth, Users, Roles, SQL, NoSQL, BLOB Storage and External API Access Free app hosting. Or install the open source package on any LAMP server. Sign up and see examples for AngularJS, jQuery, Sencha Touch and Native! http://pubads.g.doubleclick.net/gampad/clk?id=63469471iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] TypeError: unsupported operand type(s) for +: 'NoneType' and 'float' on 1.2.1
Greetings all,
I have this problem now as well. I use a Mac with Canopy installed and it was
working fine until I recently updated my packages and got the new matplotlib.
The code which reproduces this error for me is very simple:
{{{
x = scipy.random.normal(0,1,100)
f = figure(num=1)
f.clear()
ax = f.add_subplot(111)
ns,bns,plt0 = ax.hist(x,bins=10,log=True)
plt1 = ax.bar(bns[0:-1],ns,width=bns[1:]-bns[0:-1],color='r',log=True)
draw()
}}}
The code works fine if one comments out the ax.bar usage but fails otherwise. I
have tried multiple different kwargs or removing the second log=True and all
result in the same TypeError.
Regards,
Brian
On Apr 18, 2013, at 12:42 PM, Michael Droettboom md...@stsci.edu wrote:
Can you please provide a complete, minimal and self-contained script
that reproduces the error? The example below has many undefined
variables etc.
Cheers,
Mike
On 04/16/2013 07:09 PM, Christophe Pettus wrote:
# preamble code collecting data
ind = np.arange(len(table_name))
width = 0.35
fig = plot.figure(figsize=DEFAULT_FIGURE_SIZE)
ax = fig.add_subplot(111, axisbg='#fafafa', alpha=0.9)
ax.set_title('Largest Tables')
ax.set_xlabel('Size (log scale)')
ax.set_xscale('log')
ax.grid(True)
ax.xaxis.set_major_formatter(FuncFormatter(magnitude_ticks))
dbar = ax.barh(ind, data_size, width, linewidth=0, color='blue',
label='Main Data') # exception here
ibar = ax.barh(ind, index_toast_size, width, left=data_size,
linewidth=0, color='red', label='Toast/Indexes')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(table_name, fontproperties=xx_small_font)
ax.legend(loc='lower right', prop=x_small_font)
plot.tight_layout()
plot.savefig(REPORT_DIR_PATH + '/table_sizes.pdf')
plot.close()
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Re: [Matplotlib-users] TypeError: unsupported operand type(s) for +: 'NoneType' and 'float' on 1.2.1
Can you please provide a complete, minimal and self-contained script
that reproduces the error? The example below has many undefined
variables etc.
Cheers,
Mike
On 04/16/2013 07:09 PM, Christophe Pettus wrote:
# preamble code collecting data
ind = np.arange(len(table_name))
width = 0.35
fig = plot.figure(figsize=DEFAULT_FIGURE_SIZE)
ax = fig.add_subplot(111, axisbg='#fafafa', alpha=0.9)
ax.set_title('Largest Tables')
ax.set_xlabel('Size (log scale)')
ax.set_xscale('log')
ax.grid(True)
ax.xaxis.set_major_formatter(FuncFormatter(magnitude_ticks))
dbar = ax.barh(ind, data_size, width, linewidth=0, color='blue',
label='Main Data') # exception here
ibar = ax.barh(ind, index_toast_size, width, left=data_size,
linewidth=0, color='red', label='Toast/Indexes')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(table_name, fontproperties=xx_small_font)
ax.legend(loc='lower right', prop=x_small_font)
plot.tight_layout()
plot.savefig(REPORT_DIR_PATH + '/table_sizes.pdf')
plot.close()
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apps and a phenomenal toolset for data science. Developers can use
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[Matplotlib-users] TypeError: unsupported operand type(s) for +: 'NoneType' and 'float' on 1.2.1
After upgrading to 1.2.1 from 1.1, I'm getting an exception on the below-noted
line; any thoughts what might have changed?
File /Users/xof/Documents/Dev/tuneup/reports/tables.py, line 60, in
table_sizes
dbar = ax.barh(ind, data_size, width, linewidth=0, color='blue',
label='Main Data')
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/axes.py,
line 5021, in barh
orientation='horizontal', **kwargs)
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/axes.py,
line 4901, in bar
self.add_patch(r)
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/axes.py,
line 1570, in add_patch
self._update_patch_limits(p)
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/axes.py,
line 1588, in _update_patch_limits
xys = patch.get_patch_transform().transform(vertices)
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/patches.py,
line 581, in get_patch_transform
self._update_patch_transform()
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/patches.py,
line 577, in _update_patch_transform
bbox = transforms.Bbox.from_bounds(x, y, width, height)
File
/Users/xof/Documents/Dev/environments/tuneup/lib/python2.6/site-packages/matplotlib/transforms.py,
line 786, in from_bounds
return Bbox.from_extents(x0, y0, x0 + width, y0 + height)
TypeError: unsupported operand type(s) for +: 'NoneType' and 'float'
The code is:
# preamble code collecting data
ind = np.arange(len(table_name))
width = 0.35
fig = plot.figure(figsize=DEFAULT_FIGURE_SIZE)
ax = fig.add_subplot(111, axisbg='#fafafa', alpha=0.9)
ax.set_title('Largest Tables')
ax.set_xlabel('Size (log scale)')
ax.set_xscale('log')
ax.grid(True)
ax.xaxis.set_major_formatter(FuncFormatter(magnitude_ticks))
dbar = ax.barh(ind, data_size, width, linewidth=0, color='blue',
label='Main Data') # exception here
ibar = ax.barh(ind, index_toast_size, width, left=data_size, linewidth=0,
color='red', label='Toast/Indexes')
ax.set_yticks(ind + width/2)
ax.set_yticklabels(table_name, fontproperties=xx_small_font)
ax.legend(loc='lower right', prop=x_small_font)
plot.tight_layout()
plot.savefig(REPORT_DIR_PATH + '/table_sizes.pdf')
plot.close()
--
-- Christophe Pettus
x...@thebuild.com
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Precog is a next-generation analytics platform capable of advanced
analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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