TypeError: unsupported operand type(s) for +: 'NoneType' and 'float' on 1.2.1

Community matplotlib-users
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
   xof@...3912...

2

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()

3

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 <mdroe@...86...> 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()

------------------------------------------------------------------------------
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
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
matplotlib-users List Signup and Options