I'm confused is corrplot a matplotlib function? If it's not, there's not much
we can do. You should probably just modify it to accept axes as parameters.
—
Sent from Mailbox
On Tue, Mar 17, 2015 at 1:36 AM, Sudheer Joseph <sudheer.jos...@yahoo.com>
wrote:
> Hellow Paul,
> I thought I should show an example plot which shows the idea
> of what I was asking about corrplot. Below link shows it.
> http://matplotlib.org/examples/pylab_examples/multi_image.html
> --------------------------------------------
> On Tue, 17/3/15, Sudheer Joseph <sudheer.jos...@yahoo.com> wrote:
> Subject: Re: [Matplotlib-users] Corr plot in subplot
> To: "Paul Hobson" <pmhob...@gmail.com>, "Adam Hughes"
> <hughesada...@gmail.com>
> Cc: "Matplotlib Users" <matplotlib-users@lists.sourceforge.net>
> Date: Tuesday, 17 March, 2015, 8:31 AM
>
> Hi Paul,
> I could not succeed in
> plotting corrplot.Corrplot(df,ax=ax1).
>
> infact the plotting procedure is
> c=corrplot.Corrplot(df,ax=ax1)
> then issue command
> c.plot().
> So there are 2 steps involved, which may be the
> complication. I am not very well versed with Matplotlib.
> Kindly help.
>
> --------------------------------------------
> On Fri, 13/3/15, Adam Hughes <hughesada...@gmail.com>
> wrote:
>
> Subject: Re:
> [Matplotlib-users] Corr plot in subplot
> To:
> "Paul Hobson" <pmhob...@gmail.com>
> Cc: "Sudheer Joseph" <sudheer.jos...@yahoo.com>,
> "Matplotlib Users" <matplotlib-users@lists.sourceforge.net>
> Date: Friday, 13 March, 2015, 7:06 PM
>
> 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 <pmhob...@gmail.com>
> wrote:
> 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 <sudheer.jos...@yahoo.com>
> wrote:
> 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 =
> corrplot.Corrplot(df)
>
>
>
> I wanted to make the
> corrplot in below 4 boxes which can
> come
> out as a single figure. The above data is a test data
> actually I wanted use seasonal data for this
> purpose.
>
>
>
> fig = plt.figure()
>
>
> fig.subplots_adjust(left=0.2, wspace=0.6)
>
>
> ax1 = fig.add_subplot(221)
>
> ax2 =
> fig.add_subplot(222)
>
> ax3
> = fig.add_subplot(223)
>
>
> ax4 = fig.add_subplot(224)
>
>
>
>
>
>
> ***************************************************************
>
> Sudheer Joseph
>
> Indian National Centre for
> Ocean Information Services
>
> Ministry of Earth Sciences, Govt. of India
>
> POST BOX NO: 21, IDA
> Jeedeemetla P.O.
>
> Via
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>
> Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
>
>
> Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
>
> E-mail:sjo.in...@gmail.com;sudheer.jos...@yahoo.com
>
> Web- http://oppamthadathil.tripod.com
>
>
> ***************************************************************
>
>
>
>
>
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news, videos, case studies, tutorials and more. Take a look and join the
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