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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