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ts.plot() pandas: No plot!

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  ts.plot() pandas: No plot! Paulo da Silva <p_s_d_a_s_i_l_v_a_ns@netcabo.pt> - 2016-02-01 00:46 +0000
    Re: ts.plot() pandas: No plot! Chris Angelico <rosuav@gmail.com> - 2016-02-01 12:15 +1100
      Re: ts.plot() pandas: No plot! Paulo da Silva <p_s_d_a_s_i_l_v_a_ns@netcabo.pt> - 2016-02-01 01:30 +0000
    Re: ts.plot() pandas: No plot! Mark Lawrence <breamoreboy@yahoo.co.uk> - 2016-02-01 01:43 +0000
      Re: ts.plot() pandas: No plot! Paulo da Silva <p_s_d_a_s_i_l_v_a_ns@netcabo.pt> - 2016-02-01 02:08 +0000
        Re: ts.plot() pandas: No plot! Jason Swails <jason.swails@gmail.com> - 2016-02-01 09:18 -0500
          Re: ts.plot() pandas: No plot! Paulo da Silva <p_s_d_a_s_i_l_v_a_ns@netcabo.pt> - 2016-02-01 19:22 +0000

#102375 — ts.plot() pandas: No plot!

Hi!

I am learning pandas and following the tutorial I tried the following:
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000',
periods=1000))
ts = ts.cumsum()
ts.plot()

No plot is produced!
Only the following output:
<matplotlib.axes.AxesSubplot object at 0x7f33019b6630>

Any clue on what is happening?

I'm using kubuntu and python3.

Thanks.
Paulo

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#102376

On Mon, Feb 1, 2016 at 11:46 AM, Paulo da Silva
<p_s_d_a_s_i_l_v_a_ns@netcabo.pt> wrote:
> I am learning pandas and following the tutorial I tried the following:
> ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000',
> periods=1000))
> ts = ts.cumsum()
> ts.plot()
>
> No plot is produced!
> Only the following output:
> <matplotlib.axes.AxesSubplot object at 0x7f33019b6630>
>
> Any clue on what is happening?
>
> I'm using kubuntu and python3.
>

Hmm. Normally I would expect matplotlib to pop up a graph there. Are
you running this from a terminal, or from some sort of GUI? It might
make a difference to how it brings up the graph. Interestingly, I'm
not able to run your example on my system:

>>> pd.__version__
'0.17.1'
>>> pd.date_range('1/1/2000', periods=1000)
ValueError: Error parsing datetime string "1/1/2000" at position 1

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.6/site-packages/pandas/tseries/index.py",
line 1923, in date_range
    closed=closed, **kwargs)
  File "/usr/local/lib/python3.6/site-packages/pandas/util/decorators.py",
line 89, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/site-packages/pandas/tseries/index.py",
line 237, in __new__
    ambiguous=ambiguous)
  File "/usr/local/lib/python3.6/site-packages/pandas/tseries/index.py",
line 379, in _generate
    start = Timestamp(start)
  File "pandas/tslib.pyx", line 299, in pandas.tslib.Timestamp.__new__
(pandas/tslib.c:8973)
  File "pandas/tslib.pyx", line 1163, in
pandas.tslib.convert_to_tsobject (pandas/tslib.c:22522)
  File "pandas/tslib.pyx", line 1271, in
pandas.tslib.convert_str_to_tsobject (pandas/tslib.c:24121)
  File "pandas/src/datetime.pxd", line 141, in datetime._string_to_dts
(pandas/tslib.c:80505)
SystemError: <class 'str'> returned a result with an error set

So it's possible you've run into something that's changed between
versions. Your original example works on my 2.7, although it doesn't
pop up a graph. So now I'm a bit lost. :)

ChrisA

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#102377

Às 01:15 de 01-02-2016, Chris Angelico escreveu:
> On Mon, Feb 1, 2016 at 11:46 AM, Paulo da Silva
> <p_s_d_a_s_i_l_v_a_ns@netcabo.pt> wrote:
...

> 
> Hmm. Normally I would expect matplotlib to pop up a graph there. Are
> you running this from a terminal, or from some sort of GUI? It might
> make a difference to how it brings up the graph. Interestingly, I'm
> not able to run your example on my system:
> 
I'm running it from "konsole", the kde terminal.
The example is from here

http://pandas.pydata.org/pandas-docs/stable/10min.html#plotting

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#102378

On 01/02/2016 00:46, Paulo da Silva wrote:
> Hi!
>
> I am learning pandas and following the tutorial I tried the following:
> ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000',
> periods=1000))
> ts = ts.cumsum()
> ts.plot()
>
> No plot is produced!
> Only the following output:
> <matplotlib.axes.AxesSubplot object at 0x7f33019b6630>
>
> Any clue on what is happening?
>
> I'm using kubuntu and python3.
>
> Thanks.
> Paulo
>

Is it as simple as adding a call to ts.show() ?

-- 
My fellow Pythonistas, ask not what our language can do for you, ask
what you can do for our language.

Mark Lawrence

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#102380

Às 01:43 de 01-02-2016, Mark Lawrence escreveu:
> On 01/02/2016 00:46, Paulo da Silva wrote:
...

>>
> 
> Is it as simple as adding a call to ts.show() ?
> 
Thanks for the clue!
Not so simple however.
Needed to do
import matplotlib.pyplot as plt
plt.show()

Thank you :-)
Paulo

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#102388

On Sun, Jan 31, 2016 at 9:08 PM, Paulo da Silva <
p_s_d_a_s_i_l_v_a_ns@netcabo.pt> wrote:

> Às 01:43 de 01-02-2016, Mark Lawrence escreveu:
> > On 01/02/2016 00:46, Paulo da Silva wrote:
> ...
>
> >>
> >
> > Is it as simple as adding a call to ts.show() ?
> >
> Thanks for the clue!
> Not so simple however.
> Needed to do
> import matplotlib.pyplot as plt
> plt.show()
>

​What you saw ts.plot() return was the matplotlib artists (the things that
will be drawn on whatever "canvas" is provided -- either saved to an image
or drawn to a GUI widget).  So whenever you see this kind of return value,
you know you need to call the matplotlib.pyplot.show function in order to
generate a canvas widget (with whatever backend you choose) and draw it.

If you want to do this kind of interactive plotting (reminiscent, I've
heard, of Matlab), I would highly recommend checking out IPython.  You can
use IPython's notebook or qtconsole and embed plots from matplotlib
directly in the viewer.  For example, try this:

ipython qtconsole

This opens up a window, then use the magic command "%matplotlib inline" to
have all plots sent directly to the ipython console you are typing commands
in.  I've found that kind of workflow quite convenient for directly
interacting with data.

HTH,
Jason

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#102391

Às 14:18 de 01-02-2016, Jason Swails escreveu:
> On Sun, Jan 31, 2016 at 9:08 PM, Paulo da Silva <
> p_s_d_a_s_i_l_v_a_ns@netcabo.pt> wrote:
> 
>> Às 01:43 de 01-02-2016, Mark Lawrence escreveu:
>>> On 01/02/2016 00:46, Paulo da Silva wrote:
...

> 
> ​What you saw ts.plot() return was the matplotlib artists (the things that
> will be drawn on whatever "canvas" is provided -- either saved to an image
> or drawn to a GUI widget).  So whenever you see this kind of return value,
> you know you need to call the matplotlib.pyplot.show function in order to
> generate a canvas widget (with whatever backend you choose) and draw it.
> 
> If you want to do this kind of interactive plotting (reminiscent, I've
> heard, of Matlab), I would highly recommend checking out IPython.  You can
> use IPython's notebook or qtconsole and embed plots from matplotlib
> directly in the viewer.  For example, try this:
> 
> ipython qtconsole
> 
> This opens up a window, then use the magic command "%matplotlib inline" to
> have all plots sent directly to the ipython console you are typing commands
> in.  I've found that kind of workflow quite convenient for directly
> interacting with data.
Thank you Jason.
This can be very usefull.

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