matplotlib-users Mailing List for matplotlib

Hello,

I am migrating from octave to python and found matplotlib as an useful and
powerful resource.
I played with many animations examples and tried to build my own.

The objective is to build a live plot from data coming from an arduino.
The serial is working perfect (I can receive and plot data without problem).

Unfortunately, when I resize my animation windows, I get curves overlapped.

I must use blit because I have 6 subplots.

Please, check the attached files:
Python:
-> animationR00.py (main)
-> lib/
     -> AnalogPlot.py
     -> RingBuffer.py
     -> crc8.py

Arduino:
Teste.cpp (main)
Teste.h
ComSerial.cpp
ComSerial.h
OneWire.cpp
OneWire.h
I appreciate any help.
-
Thales Alexandre Carvalho Maia

Your perturbed and unperturbed scenarios draw the same figure on my machine
(mpl v1.4.1).

The reason why you don't get any outliers is the following:
Boxplot uses matplotlib.cbook.boxplot_stats under the hood to compute where
everything will be drawn. If you look in there, you'll see this little
nugget:

        # interquartile range
        stats['iqr'] = q3 - q1
        if stats['iqr'] == 0:
            whis = 'range'


When whis = 'range', the whiskers fall back to extending to the min an max.
So that is at least the intent of the code. Open to a different
interpretation of what should be happening, though.

On Wed, Aug 26, 2015 at 1:08 AM, Paul Hobson <pmh...@gm...> wrote:

> Are you running python 2 or python 3? If you're on python 2, what happens
> if you add "from __future__ import division" to the top of your script?
>
> On Tue, Aug 25, 2015 at 10:31 PM, chtan <ch...@un...> wrote:
>
>> Hi,
>>
>> the outliers in the boxplot do not seem to be drawn in the following
>> extreme
>> scenario:
>> Data Value: 1, Frequency: 5
>> Data Value: 2, Frequency: 100
>> Data Value: 3, Frequency: 5
>>
>> Here, Q1 = Q2 = Q3, so IQR = 0.
>> Data values 1 and 3 are therefore outliers according to the definition in
>> the api
>> (Refer to parameter "whis" under "boxplot":
>> http://matplotlib.org/api/pyplot_api.html
>> <http://matplotlib.org/api/pyplot_api.html>  )
>>
>> But the code below produces a boxplot that shows them as max-min whiskers
>> (rather than fliers):
>>
>> import matplotlib.pyplot as plt
>> data = 100 * [2] + 5 * [1] + 5 * [3]
>> ax = plt.gca()
>> bp = ax.boxplot(data, showfliers=True)
>> for flier in bp['fliers']:
>>     flier.set(marker='o', color='gray')
>>
>> <http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_1.png>
>>
>>
>> What I though it would look like is obtained by perturbing half of the
>> data
>> points 2 to 2.000001:
>>
>> <http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_2.png>
>>
>>
>> Is this a bug or I'm not getting something right?
>>
>> rgds
>> marcus
>>
>>
>>
>> --
>> View this message in context:
>> http://matplotlib.1069221.n5.nabble.com/boxplot-behaviour-in-an-extreme-scenario-tp46027.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
>> ------------------------------------------------------------------------------
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>

Are you running python 2 or python 3? If you're on python 2, what happens
if you add "from __future__ import division" to the top of your script?

On Tue, Aug 25, 2015 at 10:31 PM, chtan <ch...@un...> wrote:

> Hi,
>
> the outliers in the boxplot do not seem to be drawn in the following
> extreme
> scenario:
> Data Value: 1, Frequency: 5
> Data Value: 2, Frequency: 100
> Data Value: 3, Frequency: 5
>
> Here, Q1 = Q2 = Q3, so IQR = 0.
> Data values 1 and 3 are therefore outliers according to the definition in
> the api
> (Refer to parameter "whis" under "boxplot":
> http://matplotlib.org/api/pyplot_api.html
> <http://matplotlib.org/api/pyplot_api.html>  )
>
> But the code below produces a boxplot that shows them as max-min whiskers
> (rather than fliers):
>
> import matplotlib.pyplot as plt
> data = 100 * [2] + 5 * [1] + 5 * [3]
> ax = plt.gca()
> bp = ax.boxplot(data, showfliers=True)
> for flier in bp['fliers']:
>     flier.set(marker='o', color='gray')
>
> <http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_1.png>
>
>
> What I though it would look like is obtained by perturbing half of the data
> points 2 to 2.000001:
>
> <http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_2.png>
>
>
> Is this a bug or I'm not getting something right?
>
> rgds
> marcus
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/boxplot-behaviour-in-an-extreme-scenario-tp46027.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
> ------------------------------------------------------------------------------
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,

the outliers in the boxplot do not seem to be drawn in the following extreme
scenario:
Data Value: 1, Frequency: 5
Data Value: 2, Frequency: 100
Data Value: 3, Frequency: 5

Here, Q1 = Q2 = Q3, so IQR = 0.
Data values 1 and 3 are therefore outliers according to the definition in
the api
(Refer to parameter "whis" under "boxplot": 
http://matplotlib.org/api/pyplot_api.html
<http://matplotlib.org/api/pyplot_api.html>  )

But the code below produces a boxplot that shows them as max-min whiskers
(rather than fliers):

import matplotlib.pyplot as plt
data = 100 * [2] + 5 * [1] + 5 * [3]
ax = plt.gca()
bp = ax.boxplot(data, showfliers=True)
for flier in bp['fliers']:
    flier.set(marker='o', color='gray')

<http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_1.png> 


What I though it would look like is obtained by perturbing half of the data
points 2 to 2.000001:

<http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_2.png> 


Is this a bug or I'm not getting something right?

rgds
marcus



--
View this message in context: http://matplotlib.1069221.n5.nabble.com/boxplot-behaviour-in-an-extreme-scenario-tp46027.html
Sent from the matplotlib - users mailing list archive at Nabble.com.