From mbatr27 at gmail.com  Fri Aug  3 16:43:44 2018
From: mbatr27 at gmail.com (Matthew Bradley)
Date: Fri, 3 Aug 2018 14:43:44 -0600
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
Message-ID: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>

All:

I have a raster that I want to add a colorbar to, and I've tried playing
around with a few things, both giving the axes image a name and then
calling it in the colorbar function i.e:

cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio)
cbar = fig.colorbar(cax, orientation='horizontal')

and after the image is plotted like so:

cax = ax[1].get_images()[0]
cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2])

In either case it produces a PCyGY colormap instead of the diverging
RGBlack color scheme. How can I replicate the correct color map in the
color bar? Both of these methods appear to work for 2-D array.

the sorted raster is an array of shape [861, 138, 3].

Thanks in advance for any help!
-- 
Matthew Bradley
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From nathan12343 at gmail.com  Fri Aug  3 16:46:23 2018
From: nathan12343 at gmail.com (Nathan Goldbaum)
Date: Fri, 3 Aug 2018 15:46:23 -0500
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
Message-ID: <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>

Sorry I don?t quite understand this question.

Is there any chance you can make a concrete minimal, runnavle example using
fake data that delonstrates the issue?

On Fri, Aug 3, 2018 at 3:44 PM Matthew Bradley <mbatr27 at gmail.com> wrote:

> All:
>
> I have a raster that I want to add a colorbar to, and I've tried playing
> around with a few things, both giving the axes image a name and then
> calling it in the colorbar function i.e:
>
> cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio)
> cbar = fig.colorbar(cax, orientation='horizontal')
>
> and after the image is plotted like so:
>
> cax = ax[1].get_images()[0]
> cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2])
>
> In either case it produces a PCyGY colormap instead of the diverging
> RGBlack color scheme. How can I replicate the correct color map in the
> color bar? Both of these methods appear to work for 2-D array.
>
> the sorted raster is an array of shape [861, 138, 3].
>
> Thanks in advance for any help!
> --
> Matthew Bradley
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From mbatr27 at gmail.com  Fri Aug  3 16:49:30 2018
From: mbatr27 at gmail.com (Matthew Bradley)
Date: Fri, 3 Aug 2018 14:49:30 -0600
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
Message-ID: <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>

I'll work on it, thanks for the prompt response!

On Fri, Aug 3, 2018 at 2:46 PM, Nathan Goldbaum <nathan12343 at gmail.com>
wrote:

> Sorry I don?t quite understand this question.
>
> Is there any chance you can make a concrete minimal, runnavle example
> using fake data that delonstrates the issue?
>
> On Fri, Aug 3, 2018 at 3:44 PM Matthew Bradley <mbatr27 at gmail.com> wrote:
>
>> All:
>>
>> I have a raster that I want to add a colorbar to, and I've tried playing
>> around with a few things, both giving the axes image a name and then
>> calling it in the colorbar function i.e:
>>
>> cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio)
>> cbar = fig.colorbar(cax, orientation='horizontal')
>>
>> and after the image is plotted like so:
>>
>> cax = ax[1].get_images()[0]
>> cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2])
>>
>> In either case it produces a PCyGY colormap instead of the diverging
>> RGBlack color scheme. How can I replicate the correct color map in the
>> color bar? Both of these methods appear to work for 2-D array.
>>
>> the sorted raster is an array of shape [861, 138, 3].
>>
>> Thanks in advance for any help!
>> --
>> Matthew Bradley
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users at python.org
>> https://mail.python.org/mailman/listinfo/matplotlib-users
>>
>


-- 
Matthew Bradley
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From ben.v.root at gmail.com  Fri Aug  3 17:09:58 2018
From: ben.v.root at gmail.com (Benjamin Root)
Date: Fri, 3 Aug 2018 17:09:58 -0400
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
Message-ID: <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>

I think the issue is that the user is passing in an RGB array, but wants a
colormap that matches that array. That is a bit tricky. Do I have my
understanding correct?

Ben

On Fri, Aug 3, 2018 at 4:49 PM, Matthew Bradley <mbatr27 at gmail.com> wrote:

> I'll work on it, thanks for the prompt response!
>
> On Fri, Aug 3, 2018 at 2:46 PM, Nathan Goldbaum <nathan12343 at gmail.com>
> wrote:
>
>> Sorry I don?t quite understand this question.
>>
>> Is there any chance you can make a concrete minimal, runnavle example
>> using fake data that delonstrates the issue?
>>
>> On Fri, Aug 3, 2018 at 3:44 PM Matthew Bradley <mbatr27 at gmail.com> wrote:
>>
>>> All:
>>>
>>> I have a raster that I want to add a colorbar to, and I've tried playing
>>> around with a few things, both giving the axes image a name and then
>>> calling it in the colorbar function i.e:
>>>
>>> cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio)
>>> cbar = fig.colorbar(cax, orientation='horizontal')
>>>
>>> and after the image is plotted like so:
>>>
>>> cax = ax[1].get_images()[0]
>>> cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2])
>>>
>>> In either case it produces a PCyGY colormap instead of the diverging
>>> RGBlack color scheme. How can I replicate the correct color map in the
>>> color bar? Both of these methods appear to work for 2-D array.
>>>
>>> the sorted raster is an array of shape [861, 138, 3].
>>>
>>> Thanks in advance for any help!
>>> --
>>> Matthew Bradley
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Matplotlib-users at python.org
>>> https://mail.python.org/mailman/listinfo/matplotlib-users
>>>
>>
>
>
> --
> Matthew Bradley
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
>
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From bruno.pagani at astrophysics.eu  Fri Aug  3 17:04:58 2018
From: bruno.pagani at astrophysics.eu (Bruno Pagani)
Date: Fri, 3 Aug 2018 23:04:58 +0200
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
Message-ID: <60d25a8a-9e29-97f5-74d0-10dc3a63a2ae@astrophysics.eu>

Le 03/08/2018 ? 22:43, Matthew Bradley a ?crit?:
> All:
>
> I have a raster that I want to add a colorbar to, and I've tried
> playing around with a few things, both giving the axes image a name
> and then calling it in the colorbar function i.e:
>
> cax = axes.imshow(raster_contrast*sorted_raster, aspect=aspect_ratio)
> cbar = fig.colorbar(cax, orientation='horizontal')
>
> and after the image is plotted like so:
>
> cax = ax[1].get_images()[0]
> cbar = fig.colorbar(cax, orientation='horizontal', cax=ax[2])
>
> In either case it produces a PCyGY colormap

Viridis[0]?

> instead of the diverging RGBlack color scheme. How can I replicate the
> correct color map in the color bar? Both of these methods appear to
> work for 2-D array.?
>
> the sorted raster is an array of shape [861, 138, 3].
>
> Thanks in advance for any help!

I don?t really know how to get a colorbar for RGB(A) arrays, but you
need to add something I guess. You?re currently getting the default
colormap and associated colorbar.

[0]: https://matplotlib.org/2.0.0/users/plotting/colormaps/lightness_00.png

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From bruno.pagani at astrophysics.eu  Fri Aug  3 17:14:47 2018
From: bruno.pagani at astrophysics.eu (Bruno Pagani)
Date: Fri, 3 Aug 2018 23:14:47 +0200
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
Message-ID: <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>

Le 03/08/2018 ? 23:09, Benjamin Root a ?crit?:
> I think the issue is that the user is passing in an RGB array, but
> wants a colormap that matches that array. That is a bit tricky. Do I
> have my understanding correct?
>
> Ben

Exactly what I understood too. So do you have a solution for this? I?ve
stackoverflow?d that question a bit, nothing cames out.

Bruno

From mbatr27 at gmail.com  Fri Aug  3 17:26:35 2018
From: mbatr27 at gmail.com (Matthew Bradley)
Date: Fri, 3 Aug 2018 15:26:35 -0600
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
 <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
Message-ID: <CAPXQNQUZ=zrXCsNRQ_emcmx+XQKDUefqcuBVpe5AynXhEAmCww@mail.gmail.com>

Here's a basic mockup of what I'm running into:

import matplotlib.pyplot as plt
import numpy as np; np.random.seed(1)

example_2D = np.random.rand(841,138)

example_raster = np.empty([example_2D.shape[0],example_2D.shape[1],3])
for i in range(example_2D.shape[0]):
    for j in range(example_2D.shape[1]):
        if example_2D[i,j] < 0.5:
            example_raster[i,j] = [0,example_2D[i,j],0]
        else:
            example_raster[i,j] = [example_2D[i,j],0,0]

fig, ax = plt.subplots(figsize=(4,4))

im = ax.imshow(example_raster, aspect='auto')

fig.colorbar(im, orientation="horizontal")
plt.show()

There is a ipynb file attached for anyone who wants to play around with it.



@ Bruno and Benjamin: Yes, that's essentially what I am doing. Here in this
simple example I'm just doctoring it so that I get red and green values but
in the actual dataset there are negative values that I set to be green and
all the positive values are red

On Fri, Aug 3, 2018 at 3:14 PM, Bruno Pagani <bruno.pagani at astrophysics.eu>
wrote:

> Le 03/08/2018 ? 23:09, Benjamin Root a ?crit :
> > I think the issue is that the user is passing in an RGB array, but
> > wants a colormap that matches that array. That is a bit tricky. Do I
> > have my understanding correct?
> >
> > Ben
>
> Exactly what I understood too. So do you have a solution for this? I?ve
> stackoverflow?d that question a bit, nothing cames out.
>
> Bruno
>



-- 
Matthew Bradley
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From ben.v.root at gmail.com  Fri Aug  3 17:26:14 2018
From: ben.v.root at gmail.com (Benjamin Root)
Date: Fri, 3 Aug 2018 17:26:14 -0400
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
 <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
Message-ID: <CANNq6FniFjW18tmG3mRj6EQQxOr_BAd7G1Xi3-r7SC33Z-W8FQ@mail.gmail.com>

Off the top of my head, I wonder if you can set the colormap after the fact
on the image and then create the colorbar. The colorbar is going to assume
whatever colormap was set, and the default is viridis. The problem is that
I don't think a colormap is set on the image when RGB data is passed in
(so, it'll be None), which then means that colorbar falls back on the
default from the system, which is usually viridis. If you call
`im.set_cmap('NameOfYourColormap')`, and then call colorbar(), I think
that'll work.

Ben Root


On Fri, Aug 3, 2018 at 5:14 PM, Bruno Pagani <bruno.pagani at astrophysics.eu>
wrote:

> Le 03/08/2018 ? 23:09, Benjamin Root a ?crit :
> > I think the issue is that the user is passing in an RGB array, but
> > wants a colormap that matches that array. That is a bit tricky. Do I
> > have my understanding correct?
> >
> > Ben
>
> Exactly what I understood too. So do you have a solution for this? I?ve
> stackoverflow?d that question a bit, nothing cames out.
>
> Bruno
>
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From ben.v.root at gmail.com  Fri Aug  3 17:39:07 2018
From: ben.v.root at gmail.com (Benjamin Root)
Date: Fri, 3 Aug 2018 17:39:07 -0400
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAPXQNQUZ=zrXCsNRQ_emcmx+XQKDUefqcuBVpe5AynXhEAmCww@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
 <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
 <CAPXQNQUZ=zrXCsNRQ_emcmx+XQKDUefqcuBVpe5AynXhEAmCww@mail.gmail.com>
Message-ID: <CANNq6FmojPrXNbWuD-Q0xFvOEFbCo3ZopWYUbfd5w63Zvno=2A@mail.gmail.com>

Well, why are you creating an RGB array?. Why not just pass the data into
imshow() and give it vmin/vmax and the colormap that you'd like to use?

On Fri, Aug 3, 2018 at 5:26 PM, Matthew Bradley <mbatr27 at gmail.com> wrote:

> Here's a basic mockup of what I'm running into:
>
> import matplotlib.pyplot as plt
> import numpy as np; np.random.seed(1)
>
> example_2D = np.random.rand(841,138)
>
> example_raster = np.empty([example_2D.shape[0],example_2D.shape[1],3])
> for i in range(example_2D.shape[0]):
>     for j in range(example_2D.shape[1]):
>         if example_2D[i,j] < 0.5:
>             example_raster[i,j] = [0,example_2D[i,j],0]
>         else:
>             example_raster[i,j] = [example_2D[i,j],0,0]
>
> fig, ax = plt.subplots(figsize=(4,4))
>
> im = ax.imshow(example_raster, aspect='auto')
>
> fig.colorbar(im, orientation="horizontal")
> plt.show()
>
> There is a ipynb file attached for anyone who wants to play around with it.
>
>
>
> @ Bruno and Benjamin: Yes, that's essentially what I am doing. Here in
> this simple example I'm just doctoring it so that I get red and green
> values but in the actual dataset there are negative values that I set to be
> green and all the positive values are red
>
> On Fri, Aug 3, 2018 at 3:14 PM, Bruno Pagani <bruno.pagani at astrophysics.eu
> > wrote:
>
>> Le 03/08/2018 ? 23:09, Benjamin Root a ?crit :
>> > I think the issue is that the user is passing in an RGB array, but
>> > wants a colormap that matches that array. That is a bit tricky. Do I
>> > have my understanding correct?
>> >
>> > Ben
>>
>> Exactly what I understood too. So do you have a solution for this? I?ve
>> stackoverflow?d that question a bit, nothing cames out.
>>
>> Bruno
>>
>
>
>
> --
> Matthew Bradley
>
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From mbatr27 at gmail.com  Fri Aug  3 17:48:53 2018
From: mbatr27 at gmail.com (Matthew Bradley)
Date: Fri, 3 Aug 2018 15:48:53 -0600
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CANNq6FmojPrXNbWuD-Q0xFvOEFbCo3ZopWYUbfd5w63Zvno=2A@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
 <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
 <CAPXQNQUZ=zrXCsNRQ_emcmx+XQKDUefqcuBVpe5AynXhEAmCww@mail.gmail.com>
 <CANNq6FmojPrXNbWuD-Q0xFvOEFbCo3ZopWYUbfd5w63Zvno=2A@mail.gmail.com>
Message-ID: <CAPXQNQXZcGOfh7M_V0r=nW-pXxz=ZxDbpP2+VmA_WdnBqAN0KQ@mail.gmail.com>

Nice solution, I wasn't thinking in those sorts of terms before but I think
that is the way to go!

Thanks!

On Fri, Aug 3, 2018 at 3:39 PM, Benjamin Root <ben.v.root at gmail.com> wrote:

> Well, why are you creating an RGB array?. Why not just pass the data into
> imshow() and give it vmin/vmax and the colormap that you'd like to use?
>
> On Fri, Aug 3, 2018 at 5:26 PM, Matthew Bradley <mbatr27 at gmail.com> wrote:
>
>> Here's a basic mockup of what I'm running into:
>>
>> import matplotlib.pyplot as plt
>> import numpy as np; np.random.seed(1)
>>
>> example_2D = np.random.rand(841,138)
>>
>> example_raster = np.empty([example_2D.shape[0],example_2D.shape[1],3])
>> for i in range(example_2D.shape[0]):
>>     for j in range(example_2D.shape[1]):
>>         if example_2D[i,j] < 0.5:
>>             example_raster[i,j] = [0,example_2D[i,j],0]
>>         else:
>>             example_raster[i,j] = [example_2D[i,j],0,0]
>>
>> fig, ax = plt.subplots(figsize=(4,4))
>>
>> im = ax.imshow(example_raster, aspect='auto')
>>
>> fig.colorbar(im, orientation="horizontal")
>> plt.show()
>>
>> There is a ipynb file attached for anyone who wants to play around with
>> it.
>>
>>
>>
>> @ Bruno and Benjamin: Yes, that's essentially what I am doing. Here in
>> this simple example I'm just doctoring it so that I get red and green
>> values but in the actual dataset there are negative values that I set to be
>> green and all the positive values are red
>>
>> On Fri, Aug 3, 2018 at 3:14 PM, Bruno Pagani <
>> bruno.pagani at astrophysics.eu> wrote:
>>
>>> Le 03/08/2018 ? 23:09, Benjamin Root a ?crit :
>>> > I think the issue is that the user is passing in an RGB array, but
>>> > wants a colormap that matches that array. That is a bit tricky. Do I
>>> > have my understanding correct?
>>> >
>>> > Ben
>>>
>>> Exactly what I understood too. So do you have a solution for this? I?ve
>>> stackoverflow?d that question a bit, nothing cames out.
>>>
>>> Bruno
>>>
>>
>>
>>
>> --
>> Matthew Bradley
>>
>
>


-- 
Matthew Bradley
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From bruno.pagani at astrophysics.eu  Fri Aug  3 17:53:21 2018
From: bruno.pagani at astrophysics.eu (Bruno Pagani)
Date: Fri, 3 Aug 2018 23:53:21 +0200
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAPXQNQXZcGOfh7M_V0r=nW-pXxz=ZxDbpP2+VmA_WdnBqAN0KQ@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
 <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
 <CAPXQNQUZ=zrXCsNRQ_emcmx+XQKDUefqcuBVpe5AynXhEAmCww@mail.gmail.com>
 <CANNq6FmojPrXNbWuD-Q0xFvOEFbCo3ZopWYUbfd5w63Zvno=2A@mail.gmail.com>
 <CAPXQNQXZcGOfh7M_V0r=nW-pXxz=ZxDbpP2+VmA_WdnBqAN0KQ@mail.gmail.com>
Message-ID: <7c2d78b0-0615-04a6-8f70-fb88b253b6ae@astrophysics.eu>

Le 03/08/2018 ? 23:48, Matthew Bradley a ?crit?:
> Nice solution, I wasn't thinking in those sorts of terms before but I
> think that is the way to go!
>
> Thanks!
>
> On Fri, Aug 3, 2018 at 3:39 PM, Benjamin Root <ben.v.root at gmail.com
> <mailto:ben.v.root at gmail.com>> wrote:
>
>     Well, why are you creating an RGB array?. Why not just pass the
>     data into imshow() and give it vmin/vmax and the colormap that
>     you'd like to use?
>

What you want is likely a colormap like `diverging_gwr` or
`diverging_gkr` from colorcet (https://colorcet.pyviz.org/). I mean, if
you want to keep those colors.?;)

Bruno
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From ben.v.root at gmail.com  Sun Aug  5 11:24:45 2018
From: ben.v.root at gmail.com (Benjamin Root)
Date: Sun, 5 Aug 2018 11:24:45 -0400
Subject: [Matplotlib-users] Displaying raster colormap in a colorbar
In-Reply-To: <CAPXQNQXZcGOfh7M_V0r=nW-pXxz=ZxDbpP2+VmA_WdnBqAN0KQ@mail.gmail.com>
References: <CAPXQNQWJPNyU46cCwoA+qRAavUq0qvS2TbLO=81gpopvMt_ncw@mail.gmail.com>
 <CAJXewOmEHctecR+=j_gdjoAd9qKRsO2tSDt8_MDsv88FFtBYnA@mail.gmail.com>
 <CAPXQNQVXw+7jHh=bpWHcAqbgN5viL5W1+nzY9RLWkYN-u4vxNA@mail.gmail.com>
 <CANNq6FmVOuqWvWMS7jwwix0RVHLSjG4=v-UUckQ0KfCnaaNdnQ@mail.gmail.com>
 <d62d5cae-3ca1-9cc8-0b26-d100582ddda7@astrophysics.eu>
 <CAPXQNQUZ=zrXCsNRQ_emcmx+XQKDUefqcuBVpe5AynXhEAmCww@mail.gmail.com>
 <CANNq6FmojPrXNbWuD-Q0xFvOEFbCo3ZopWYUbfd5w63Zvno=2A@mail.gmail.com>
 <CAPXQNQXZcGOfh7M_V0r=nW-pXxz=ZxDbpP2+VmA_WdnBqAN0KQ@mail.gmail.com>
Message-ID: <CANNq6Fma3UJgZmDFNo+OjY43oQsF19Z_RYCefwUopjrwR8rf=Q@mail.gmail.com>

Glad that helped. Sometimes, one get so deep within fixing a problem that
it is hard to see the easy solutions. That's why I am a huge fan of code
reviews and forums like this.

Cheers!
Ben Root


On Fri, Aug 3, 2018 at 5:48 PM, Matthew Bradley <mbatr27 at gmail.com> wrote:

> Nice solution, I wasn't thinking in those sorts of terms before but I
> think that is the way to go!
>
> Thanks!
>
> On Fri, Aug 3, 2018 at 3:39 PM, Benjamin Root <ben.v.root at gmail.com>
> wrote:
>
>> Well, why are you creating an RGB array?. Why not just pass the data into
>> imshow() and give it vmin/vmax and the colormap that you'd like to use?
>>
>> On Fri, Aug 3, 2018 at 5:26 PM, Matthew Bradley <mbatr27 at gmail.com>
>> wrote:
>>
>>> Here's a basic mockup of what I'm running into:
>>>
>>> import matplotlib.pyplot as plt
>>> import numpy as np; np.random.seed(1)
>>>
>>> example_2D = np.random.rand(841,138)
>>>
>>> example_raster = np.empty([example_2D.shape[0],example_2D.shape[1],3])
>>> for i in range(example_2D.shape[0]):
>>>     for j in range(example_2D.shape[1]):
>>>         if example_2D[i,j] < 0.5:
>>>             example_raster[i,j] = [0,example_2D[i,j],0]
>>>         else:
>>>             example_raster[i,j] = [example_2D[i,j],0,0]
>>>
>>> fig, ax = plt.subplots(figsize=(4,4))
>>>
>>> im = ax.imshow(example_raster, aspect='auto')
>>>
>>> fig.colorbar(im, orientation="horizontal")
>>> plt.show()
>>>
>>> There is a ipynb file attached for anyone who wants to play around with
>>> it.
>>>
>>>
>>>
>>> @ Bruno and Benjamin: Yes, that's essentially what I am doing. Here in
>>> this simple example I'm just doctoring it so that I get red and green
>>> values but in the actual dataset there are negative values that I set to be
>>> green and all the positive values are red
>>>
>>> On Fri, Aug 3, 2018 at 3:14 PM, Bruno Pagani <
>>> bruno.pagani at astrophysics.eu> wrote:
>>>
>>>> Le 03/08/2018 ? 23:09, Benjamin Root a ?crit :
>>>> > I think the issue is that the user is passing in an RGB array, but
>>>> > wants a colormap that matches that array. That is a bit tricky. Do I
>>>> > have my understanding correct?
>>>> >
>>>> > Ben
>>>>
>>>> Exactly what I understood too. So do you have a solution for this? I?ve
>>>> stackoverflow?d that question a bit, nothing cames out.
>>>>
>>>> Bruno
>>>>
>>>
>>>
>>>
>>> --
>>> Matthew Bradley
>>>
>>
>>
>
>
> --
> Matthew Bradley
>
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From tcaswell at gmail.com  Sat Aug 11 16:20:42 2018
From: tcaswell at gmail.com (Thomas Caswell)
Date: Sat, 11 Aug 2018 16:20:42 -0400
Subject: [Matplotlib-users] [REL] Matplotlib 2.2.3
Message-ID: <CAA48SF-H6sdULGhv49JUUTN46-NpoqqjGTzGj6-cb1y6X=0=ew@mail.gmail.com>

Folks,

Happy to announce we have tagged and release Matplotlib 2.2.3.  This is the
third bug-fix release of the v2.2 LTS series.  Wheels and the tarball are
on pypi and conda-forge is

As a reminder the v2.2 LTS series is the last feature version of Matplotlib
to support python 2.7 and will get bug fixes until 2020.  Future feature
releases will be python 3 only.

In addition to documentation and example fixes this release
fixes several critical bugs:

- Fix import failure on BSD systems
- Fix import errors in Qt shims for PyQt5 5.11 and PyQt4 4.12
- Fix import errors if bz2 module is not in standard library
- Fix overflow in _path.h
- Fix infinite recursion in transform repr
- Fix bug with XKCD style
- Remove unsafe usage of Popen

A big thank you to everyone who worked on this release!

Tom

-- 
Thomas Caswell
tcaswell at gmail.com
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From anntzer.lee at gmail.com  Wed Aug 15 16:27:12 2018
From: anntzer.lee at gmail.com (Antony Lee)
Date: Wed, 15 Aug 2018 22:27:12 +0200
Subject: [Matplotlib-users] mplcursors 0.2 release
Message-ID: <CAGRr6BG4wu4L9ckdQiULqXWyEx95O6ZckcOsC20cVPs_=b0znA@mail.gmail.com>

Dear all,

I am please to announce the release of mplcursors 0.2.

# Description

mplcursors provides interactive data selection cursors for Matplotlib.

Features include a callback system allowing full customization of the
actions when data selection is triggered, and the ability to add a data
selection cursor to any preexisting program using Matplotlib by just
setting the MPLCURSORS environment variable, without changes to the
source code.

# Changelog from mplcursors 0.1 to mplcursors 0.2

- Updated dependency to matplotlib 2.1 (2.0 gives more information about
  orientation of bar plots; 2.1 improves the handling of step plots).
- Setting `MPLCURSORS` hooks `Figure.draw` (once per figure only) instead of
  `plt.show`, thus supporting figures created after the first call to
  `plt.show`.
- Automatic positioning and alignment of annotation text.
- Selections on images now have an index as well.
- Selections created on `scatter` plots, `errorbar` plots, and `polar` plots
  can now be moved.
- `PathCollection`\s not created by `plt.scatter` are now picked as paths,
not
  as collections of points.
- `Patch`\es now pick on their borders, not their interior.
- Improved picking of `Container`\s.
- In hover mode, annotations can still be removed by right-clicking.

Enjoy,

Antony Lee
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From tcaswell at gmail.com  Tue Aug 28 10:00:27 2018
From: tcaswell at gmail.com (Thomas Caswell)
Date: Tue, 28 Aug 2018 10:00:27 -0400
Subject: [Matplotlib-users] [REL] Matplotlib 3.0.0rc2
Message-ID: <CAA48SF8QxR7XwgwczV+B3B+a5rxQWNtx4sV-cy2Oc0dVtkjhFw@mail.gmail.com>

Folks,

Matplotlib 3.0.0RC2 is tagged and up on pypi with wheels for all 3
platforms (conda-forge is in-process).  This release requires python 3.5+.

You can install the rc via:

   pip install --upgrade pip
   pip install --upgrade --pre matplotlib

Please test it out and report any regressions!

For a preview of the release notes and API changes see

https://matplotlib.org/devdocs/users/whats_new.html
https://matplotlib.org/devdocs/api/api_changes.html

Almost 130 people contributed code to this release, a big thank you to
everyone!

https://matplotlib.org/devdocs/users/github_stats.html

Tom
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From ndbecker2 at gmail.com  Wed Aug 29 08:51:51 2018
From: ndbecker2 at gmail.com (Neal Becker)
Date: Wed, 29 Aug 2018 08:51:51 -0400
Subject: [Matplotlib-users] [REL] Matplotlib 3.0.0rc2
In-Reply-To: <CAA48SF8QxR7XwgwczV+B3B+a5rxQWNtx4sV-cy2Oc0dVtkjhFw@mail.gmail.com>
References: <CAA48SF8QxR7XwgwczV+B3B+a5rxQWNtx4sV-cy2Oc0dVtkjhFw@mail.gmail.com>
Message-ID: <CAG3t+pE72Sm371RN+H9pnELVEOcOgdvpkvJKAhDNX5zhr4dbhA@mail.gmail.com>

Pleased to report no regressions so far.
Also I'm very pleased that axis overlapping with title is fixed when using
twiny, I no longer need to kludge y=1.1 on title, thanks!

On Tue, Aug 28, 2018 at 10:01 AM Thomas Caswell <tcaswell at gmail.com> wrote:

> Folks,
>
> Matplotlib 3.0.0RC2 is tagged and up on pypi with wheels for all 3
> platforms (conda-forge is in-process).  This release requires python 3.5+.
>
> You can install the rc via:
>
>    pip install --upgrade pip
>    pip install --upgrade --pre matplotlib
>
> Please test it out and report any regressions!
>
> For a preview of the release notes and API changes see
>
> https://matplotlib.org/devdocs/users/whats_new.html
> https://matplotlib.org/devdocs/api/api_changes.html
>
> Almost 130 people contributed code to this release, a big thank you to
> everyone!
>
> https://matplotlib.org/devdocs/users/github_stats.html
>
> Tom
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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