Hello,
I'm trying to learn if there is a better or less tedious way of changing the
x-axis time scale interval size when plotting time series data using
MATPLOTLIB.
To account for all the different x-axis intervals that I may end up using, I
usually do the following imports:
from matplotlib.dates
Okay. I figured out the problem. You need to pass a dictionary to the
config magic. Here is the relevant code:
%config InlineBackend.print_figure_kwargs = {'bbox_inches':None}
I created a PR with IPython (https://github.com/ipython/ipython/pull/8051)
to add this information to the %matplotlib doc
Thanks Tom.
Your hint led me to the following page:
https://github.com/ipython/ipython/blob/aab20bf85126f5b1da857193c446aebe6346acec/docs/source/whatsnew/version2.0.rst#other-changes
So it seems that this change is quite old, and I never noticed it before...
The suggestion on that page requires so
This is due to the fact that by default the inline backend saves the pngs
using `boundingbox_inches='tight'`. The design goal on the mpl side of
this kwargs was to trim off extra whitespace, but the way it is implemented
works just as effectively to expand to fit artists that fall outside of the
f
All the pandas plots that I've used take an axes keyword so try:
c = corrplot.Corrplot(df, ax=ax1)
or
c = corrplot.Corrplot(df, axes=ax1)
Do either of those work?
On Fri, Mar 13, 2015 at 2:04 PM, Paul Hobson wrote:
> What's the function signature of corrplot.CorrPlot? Hopefully you can pass
I'm constructing a multi-plot figure using an IPython notebook (v3) and
matplotlib (v1.4.3) inline magic. I was manually setting the axes bounds,
and I ended up with something like the following:
import matplotlib.pyplot as plt
%matplotlib inline
bottom = 0.12
top = 0.9
left = 0.12
axwid
What's the function signature of corrplot.CorrPlot? Hopefully you can pass
an Axes object to it argument.
-p
On Fri, Mar 13, 2015 at 9:02 AM, Sudheer Joseph
wrote:
> Dear Matplotlib exprets,
> I am trying to place the corrplot in subplot environment. But not able to
> figure out how to do it pro
Dear Matplotlib exprets,
I am trying to place the corrplot in subplot environment. But not able to
figure out how to do it properly. Can any one advice please?
from biokit.viz import corrplot
df = pd.DataFrame(dict(( (k, np.random.random(10)+ord(k)-65) for k in letters)))
df = df.corr()
c = corr
That should probably be filed as a bug report with example code.
On Fri, Mar 13, 2015 at 5:53 AM, Marin GILLES wrote:
> Le 05/03/2015 17:35, Eric Firing a écrit :
>
> On 2015/03/05 6:11 AM, Marin GILLES wrote:
>
> Hello everyone,
> After working a bit on the styles, I noticed that some param
Le vendredi 13 mars 2015 à 13:41 +0100, Fabrice Silva a écrit :
> Le vendredi 13 mars 2015 à 10:59 +, Jens Nielsen a écrit :
> > Which program is that screenshot from? It is likely due to a bug in that
> > render. Since is displays normally in the browser. The plot lines are
> > clipped behind
Le vendredi 13 mars 2015 à 10:59 +, Jens Nielsen a écrit :
> Which program is that screenshot from? It is likely due to a bug in that
> render. Since is displays normally in the browser. The plot lines are
> clipped behind the background but that obviously doesn't work correctly in
> that case.
Which program is that screenshot from? It is likely due to a bug in that
render. Since is displays normally in the browser. The plot lines are
clipped behind the background but that obviously doesn't work correctly in
that case. Not sure what can be done with in from the matplotlib side
best
Jens
OK, it seems that this is due to my picture browser application. I take a
snapshot, as in the attachment.
On Fri, Mar 13, 2015 at 11:51 AM, liu lily wrote:
> strange, it seems the pic above is normal? so I send it again
>
> On Fri, Mar 13, 2015 at 11:43 AM, liu lily wrote:
>
>> Hi, all:
>>
>>
Le 05/03/2015 17:35, Eric Firing a écrit :
On 2015/03/05 6:11 AM, Marin GILLES wrote:
Hello everyone,
After working a bit on the styles, I noticed that some parameters could
not be modified using an rc or style file (for example, turning off the
right, left, up or down axis). I kind of saw how
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