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
Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
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
***************************************************************
------------------------------------------------------------------------------
Dive into the World of
Parallel Programming The Go Parallel
Website, sponsored
by
Intel and developed in partnership with Slashdot Media,
is your hub for all
things parallel software development, from
weekly thought
leadership blogs to
news, videos, case studies,
tutorials and more. Take a look
and join
the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Matplotlib-users mailing
list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Dive into the World of
Parallel Programming The Go Parallel
Website, sponsored
by
Intel and developed in partnership with Slashdot Media,
is your hub for all
things parallel software development, from
weekly thought
leadership blogs to
news, videos, case studies,
tutorials and more. Take a look
and join
the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Matplotlib-users mailing
list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
