On Mon, Feb 21, 2011 at 12:37 PM, Waléria Antunes David <
waleriantu...@gmail.com> wrote:
> I don't know how to do this. Can you help me?
>
>
>
In your case, I would do something like this:
import matplotlib.ticker as mtick
# Other code here
# Now getting ready to plot
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_yscale('log')
ax.yaxis.set_major_formatter(mtick.FormatStrFormatter('%d'))
# Then plot as usual, be sure to set the y-limits.
Ben Root
> On Mon, Feb 21, 2011 at 3:32 PM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>>
>>
>> On Mon, Feb 21, 2011 at 12:24 PM, Waléria Antunes David <
>> waleriantu...@gmail.com> wrote:
>>
>>> I need the yscale so: 1 - 10 - 100 - 1000 . See my image attached. Can
>>> you help me, please.
>>>
>>> Thanks,
>>>
>>>
>>> On Mon, Feb 21, 2011 at 1:51 PM, Waléria Antunes David <
>>> waleriantu...@gmail.com> wrote:
>>>
>>>> So...now my xscale is correct but the yscale ...i need that in the
>>>> yscale should have a scale like this: 1 - 10 - 100 - 1000 ... without using
>>>> power rating . Can you help me??
>>>> See my image attached..
>>>>
>>>> Thanks,
>>>>
>>>>
>> Waleria,
>>
>> The data you are plotting contains points that have y-values as low as
>> 10^-17. Plotting so that the y-*axis* has ticks of 1 - 10 - 100 - 1000
>> would result in those points to be missing from the plot. Is that what you
>> want?
>>
>> To address the specific formatting of your tick labels, you can change the
>> formatter being used for that axis:
>>
>>
>> http://matplotlib.sourceforge.net/api/ticker_api.html?highlight=tick%20formatter
>>
>> By default, using ax.set_yscale('log') will automatically set the
>> LogFormatter object for formatting the y-axis. If you don't want this
>> formatter, you can replace it with another formatter object.
>>
>> Ben Root
>>
>>
>
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