From story645 at gmail.com  Mon Apr  1 16:02:48 2019
From: story645 at gmail.com (Hannah)
Date: Mon, 1 Apr 2019 16:02:48 -0400
Subject: [Matplotlib-users] equally spaced nice colors?
In-Reply-To: <q4ors7$70qd$2@blaine.gmane.org>
References: <q4ors7$70qd$2@blaine.gmane.org>
Message-ID: <CAOuQ7j0+-J0d1SAxubOsMLjtrhrVCdPo4yR85T7O2j=CmYAhow@mail.gmail.com>

You should be able to use the tab10/tab20 etc. colormaps directly, if
that's a similar palette:
https://matplotlib.org/examples/color/colormaps_reference.html

On Fri, Feb 22, 2019 at 8:08 AM Neal Becker <ndbecker2 at gmail.com> wrote:

> I'm currently using seaborn to get equally spaced nice colors:
>
>         import seaborn as sns
>         colors = np.array(sns.color_palette("hls", len (solution)))
>
> Now that mpl has all new improved color models, do I still need to use sns
> or can I easily do something similar with mpl directly?
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From kotaro.saito at psi.ch  Mon Apr  1 17:23:20 2019
From: kotaro.saito at psi.ch (Saito Kotaro (PSI))
Date: Mon, 1 Apr 2019 23:23:20 +0200
Subject: [Matplotlib-users] equally spaced nice colors?
In-Reply-To: <q4ors7$70qd$2@blaine.gmane.org>
References: <q4ors7$70qd$2@blaine.gmane.org>
Message-ID: <DD8FC25F-363E-4223-B6EA-2E8B0EC3FC62@psi.ch>

Dear Neal,

Answer 1: If you are looking for equally spaced colors from a given colormap.

Choose your favorite ?nice" colormap from here.
https://matplotlib.org/tutorials/colors/colormaps.html

I use viridis for example.

import matplotlib.pyplot as plt

cmap = plt.get_cmap('viridis')
print('Default number of colors in the lookup table:', len(cmap.colors)) # default: 256 colors
print('First color:', cmap.colors[0])
print('Last color:', cmap.colors[-1])
print('10 equally spaced colors:', cmap(np.linspace(0, 1, 10)))
print('wrong example:', cmap(range(10)))

And you?ll get this:

Default number of colors in the lookup table: 256
First color: [0.267004, 0.004874, 0.329415]
Last color: [0.993248, 0.906157, 0.143936]
10 equally spaced colors: [[ 0.267004  0.004874  0.329415  1.      ]
 [ 0.281412  0.155834  0.469201  1.      ]
 [ 0.244972  0.287675  0.53726   1.      ]
 [ 0.190631  0.407061  0.556089  1.      ]
 [ 0.147607  0.511733  0.557049  1.      ]
 [ 0.119699  0.61849   0.536347  1.      ]
 [ 0.20803   0.718701  0.472873  1.      ]
 [ 0.430983  0.808473  0.346476  1.      ]
 [ 0.709898  0.868751  0.169257  1.      ]
 [ 0.993248  0.906157  0.143936  1.      ]]
wrong example: [[ 0.267004  0.004874  0.329415  1.      ]
 [ 0.26851   0.009605  0.335427  1.      ]
 [ 0.269944  0.014625  0.341379  1.      ]
 [ 0.271305  0.019942  0.347269  1.      ]
 [ 0.272594  0.025563  0.353093  1.      ]
 [ 0.273809  0.031497  0.358853  1.      ]
 [ 0.274952  0.037752  0.364543  1.      ]
 [ 0.276022  0.044167  0.370164  1.      ]
 [ 0.277018  0.050344  0.375715  1.      ]
 [ 0.277941  0.056324  0.381191  1.      ]]

See these for details.
https://matplotlib.org/api/cm_api.html#matplotlib.cm.get_cmap
https://matplotlib.org/tutorials/colors/colormap-manipulation.html#getting-colormaps-and-accessing-their-values

Answer 2: If you are looking for "evenly-spaced colors in a circular color space" with constant brightness and saturation like hls in seaborn,

I guess matplotlib doesn?t support that type of colormaps for the moment as you can find here https://matplotlib.org/tutorials/colors/colormaps.html.
You need to make your own or find ones that someone made like hls in seaborn.

Best regards,

Kotaro

//================//================//
Paul Scherrer Institut
Kotaro SAITO ?????
Laboratory for Neutron Scattering and Imaging
WHGA/348
5232 Villigen PSI, Schweiz
+41 56 310 3179
kotaro.saito at psi.ch
https://sites.google.com/view/kotarosaito/
//================//================//

> 2019/02/22 14:01?Neal Becker <ndbecker2 at gmail.com>????:
> 
> I'm currently using seaborn to get equally spaced nice colors:
> 
>        import seaborn as sns
>        colors = np.array(sns.color_palette("hls", len (solution)))
> 
> Now that mpl has all new improved color models, do I still need to use sns
> or can I easily do something similar with mpl directly?
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users


From dhirendra.cub at gmail.com  Tue Apr 16 17:05:01 2019
From: dhirendra.cub at gmail.com (Dhirendra Kumar)
Date: Wed, 17 Apr 2019 02:35:01 +0530
Subject: [Matplotlib-users] Query about streamplot
Message-ID: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>

Hii Folks

I have an array with dimension (plev: 7, lat: 81). I was trying to draw
streamline plot for Omega and V wind [Hadley cell].  I am facing some error
with* plt.streamplot* as it says that both the dimension should be of equal
size (i.e. N * N ). Is there any other way to create a streamline plot for
the data having unequal values along both the dimensions?

I seek help of the community in this regard.

I hope I framed my question correctly.  Please let me know if I need to
clarify more details.

Thank you

-- 
========================================
Dhirendra Kumar
PhD Student
School of Environmental Sciences, JNU
New Delhi (India)
Contact: +91 9910778043
Alternate email: dhirendra.cub at outlook.com
=========================================
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From vincent.adrien at gmail.com  Wed Apr 17 02:14:07 2019
From: vincent.adrien at gmail.com (Adrien VINCENT)
Date: Wed, 17 Apr 2019 08:14:07 +0200
Subject: [Matplotlib-users] Query about streamplot
In-Reply-To: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>
References: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>
Message-ID: <EF597AA6-6CC9-4D23-B632-462CB1C142E4@gmail.com>

Hi Kumar,

Could provided a snippet with a (standalone) minimal working example of what you have tried ?

AFAICT, looking at https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.streamplot.html it does not look like X and Y arrays of coordinates have to be of equal length (but the velocity arrays U and V should have relevant dimensions relative to X and Y).

Best regards,
Adrien



On April 16, 2019 11:05:01 PM GMT+02:00, Dhirendra Kumar <dhirendra.cub at gmail.com> wrote:
>Hii Folks
>
>I have an array with dimension (plev: 7, lat: 81). I was trying to draw
>streamline plot for Omega and V wind [Hadley cell].  I am facing some
>error
>with* plt.streamplot* as it says that both the dimension should be of
>equal
>size (i.e. N * N ). Is there any other way to create a streamline plot
>for
>the data having unequal values along both the dimensions?
>
>I seek help of the community in this regard.
>
>I hope I framed my question correctly.  Please let me know if I need to
>clarify more details.
>
>Thank you

-- 
Envoy? de mon appareil Android avec Courriel K-9 Mail. Veuillez excuser ma bri?vet?.

From vincent.adrien at gmail.com  Wed Apr 17 03:57:20 2019
From: vincent.adrien at gmail.com (vincent.adrien at gmail.com)
Date: Wed, 17 Apr 2019 09:57:20 +0200
Subject: [Matplotlib-users] Query about streamplot
In-Reply-To: <EF597AA6-6CC9-4D23-B632-462CB1C142E4@gmail.com>
References: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>
 <EF597AA6-6CC9-4D23-B632-462CB1C142E4@gmail.com>
Message-ID: <3356979b-8fc1-6a0a-02f1-75ce482aad36@gmail.com>

Kumar,

FWIW, based on the [streamplot
example](https://matplotlib.org/gallery/images_contours_and_fields/plot_streamplot.html)
in the gallery, the following snippet seems to be working just fine
(with Matplotlib 3.0.1) ?even though? the amount of X and Y coordinate
values is (Nx, Ny) = (100, 50).

```python
import numpy as np
import matplotlib.pyplot as plt

# Dummy data
w = 3
Nx, Ny = 100, 50
Y, X = np.mgrid[-w:w:50j, -w:w:100j]
U = -1 - X**2 + Y
V = 1 + X - Y**2

fig, ax = plt.subplots()

ax.streamplot(X, Y, U, V)
ax.set_title(f"{Nx/Ny:g}? more points along X than Y")
```

Best,
Adrien

Le 17/04/2019 ? 08:14, Adrien VINCENT a ?crit?:
> Hi Kumar,
> 
> Could provided a snippet with a (standalone) minimal working example of what you have tried ?
> 
> AFAICT, looking at https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.streamplot.html it does not look like X and Y arrays of coordinates have to be of equal length (but the velocity arrays U and V should have relevant dimensions relative to X and Y).
> 
> Best regards,
> Adrien
> 
> 
> 
> On April 16, 2019 11:05:01 PM GMT+02:00, Dhirendra Kumar <dhirendra.cub at gmail.com> wrote:
>> Hii Folks
>>
>> I have an array with dimension (plev: 7, lat: 81). I was trying to draw
>> streamline plot for Omega and V wind [Hadley cell].  I am facing some
>> error
>> with* plt.streamplot* as it says that both the dimension should be of
>> equal
>> size (i.e. N * N ). Is there any other way to create a streamline plot
>> for
>> the data having unequal values along both the dimensions?
>>
>> I seek help of the community in this regard.
>>
>> I hope I framed my question correctly.  Please let me know if I need to
>> clarify more details.
>>
>> Thank you
> 

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From dhirendra.cub at gmail.com  Wed Apr 17 05:55:31 2019
From: dhirendra.cub at gmail.com (Dhirendra Kumar)
Date: Wed, 17 Apr 2019 15:25:31 +0530
Subject: [Matplotlib-users] Query about streamplot
In-Reply-To: <3356979b-8fc1-6a0a-02f1-75ce482aad36@gmail.com>
References: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>
 <EF597AA6-6CC9-4D23-B632-462CB1C142E4@gmail.com>
 <3356979b-8fc1-6a0a-02f1-75ce482aad36@gmail.com>
Message-ID: <CANSz=03WCdxXUt+aL-MZ_-ngY2D1tHXf2KnwpUtK4H34NxChLA@mail.gmail.com>

Hii Adrien

Thanks for the reply. I have tried your example and could replicate it. But
in case of my script I have two variables:

*V* and *Omega* having sizes:
([('plev', 12), ('lat', 81)]))
([('plev', 12), ('lat', 81)]))

Plev has to be plotted on y axis and lat has to be plotted on x axis.

I am using following lines to create the plot:

plt.subplot(331)
plt.contourf(CC_W_CON11,cmap='RdBu')
plt.streamplot(X, Y, Omega,  V)

This gives me an error as:

  File
"/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/pyplot.py", line
2951, in streamplot
    if data is not None else {}))
  File
"/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/__init__.py",
line 1810, in inner
    return func(ax, *args, **kwargs)
  File
"/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/axes/_axes.py",
line 4882, in streamplot
    integration_direction=integration_direction)
  File
"/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/streamplot.py",
line 79, in streamplot
    grid = Grid(x, y)
  File
"/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/streamplot.py",
line 311, in __init__
    raise ValueError("The rows of 'x' must be equal")
*ValueError: The rows of 'x' must be equal*

Could you please look if there is any mistake ??

Thanks


On Wed, Apr 17, 2019 at 1:27 PM vincent.adrien at gmail.com <
vincent.adrien at gmail.com> wrote:

> Kumar,
>
> FWIW, based on the [streamplot
> example](
> https://matplotlib.org/gallery/images_contours_and_fields/plot_streamplot.html
> )
> in the gallery, the following snippet seems to be working just fine
> (with Matplotlib 3.0.1) ?even though? the amount of X and Y coordinate
> values is (Nx, Ny) = (100, 50).
>
> ```python
> import numpy as np
> import matplotlib.pyplot as plt
>
> # Dummy data
> w = 3
> Nx, Ny = 100, 50
> Y, X = np.mgrid[-w:w:50j, -w:w:100j]
> U = -1 - X**2 + Y
> V = 1 + X - Y**2
>
> fig, ax = plt.subplots()
>
> ax.streamplot(X, Y, U, V)
> ax.set_title(f"{Nx/Ny:g}? more points along X than Y")
> ```
>
> Best,
> Adrien
>
> Le 17/04/2019 ? 08:14, Adrien VINCENT a ?crit :
> > Hi Kumar,
> >
> > Could provided a snippet with a (standalone) minimal working example of
> what you have tried ?
> >
> > AFAICT, looking at
> https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.streamplot.html
> it does not look like X and Y arrays of coordinates have to be of equal
> length (but the velocity arrays U and V should have relevant dimensions
> relative to X and Y).
> >
> > Best regards,
> > Adrien
> >
> >
> >
> > On April 16, 2019 11:05:01 PM GMT+02:00, Dhirendra Kumar <
> dhirendra.cub at gmail.com> wrote:
> >> Hii Folks
> >>
> >> I have an array with dimension (plev: 7, lat: 81). I was trying to draw
> >> streamline plot for Omega and V wind [Hadley cell].  I am facing some
> >> error
> >> with* plt.streamplot* as it says that both the dimension should be of
> >> equal
> >> size (i.e. N * N ). Is there any other way to create a streamline plot
> >> for
> >> the data having unequal values along both the dimensions?
> >>
> >> I seek help of the community in this regard.
> >>
> >> I hope I framed my question correctly.  Please let me know if I need to
> >> clarify more details.
> >>
> >> Thank you
> >
>
>

-- 
========================================
Dhirendra Kumar
PhD Student
School of Environmental Sciences, JNU
New Delhi (India)
Contact: +91 9910778043
Alternate email: dhirendra.cub at outlook.com
=========================================
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From vincent.adrien at gmail.com  Wed Apr 17 10:22:04 2019
From: vincent.adrien at gmail.com (vincent.adrien at gmail.com)
Date: Wed, 17 Apr 2019 16:22:04 +0200
Subject: [Matplotlib-users] Query about streamplot
In-Reply-To: <CANSz=03WCdxXUt+aL-MZ_-ngY2D1tHXf2KnwpUtK4H34NxChLA@mail.gmail.com>
References: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>
 <EF597AA6-6CC9-4D23-B632-462CB1C142E4@gmail.com>
 <3356979b-8fc1-6a0a-02f1-75ce482aad36@gmail.com>
 <CANSz=03WCdxXUt+aL-MZ_-ngY2D1tHXf2KnwpUtK4H34NxChLA@mail.gmail.com>
Message-ID: <d59b8644-4c11-9e75-bddc-8010dd8ff874@gmail.com>

Kumar,

As far as I understand it, it looks like your issue may be due to X (and
possibly Y) being 2d-array. If V and Omega are arrays with shape **(Ny,
Nx)**, then X and Y should be **1d-arrays** with Nx and Ny elements
respectively. For simplicity sake (I guess), there is actually a special
(not very well documented) case if X and Y are 2d-arrays :
- each row of X has to be the same;
- each column in Y has to be same.

The error that you saw suggest that the rows in your array X differ from
one another.

Adrien

Le 17/04/2019 ? 11:55, Dhirendra Kumar a ?crit?:
> Hii Adrien
> 
> Thanks for the reply. I have tried your example and could replicate it.
> But in case of my script I have two variables:
> 
> *V* and *Omega* having sizes:
> ([('plev', 12), ('lat', 81)]))
> ([('plev', 12), ('lat', 81)]))
> 
> Plev has to be plotted on y axis and lat has to be plotted on x axis.?
> 
> I am using following lines to create the plot:
> 
> plt.subplot(331)
> plt.contourf(CC_W_CON11,cmap='RdBu')
> plt.streamplot(X, Y, Omega,? V)
> 
> This gives me an error as:
> 
> ? File
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/pyplot.py",
> line 2951, in streamplot
> ? ? if data is not None else {}))
> ? File
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/__init__.py",
> line 1810, in inner
> ? ? return func(ax, *args, **kwargs)
> ? File
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/axes/_axes.py",
> line 4882, in streamplot
> ? ? integration_direction=integration_direction)
> ? File
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/streamplot.py",
> line 79, in streamplot
> ? ? grid = Grid(x, y)
> ? File
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/streamplot.py",
> line 311, in __init__
> ? ? raise ValueError("The rows of 'x' must be equal")
> *ValueError: The rows of 'x' must be equal*
> *
> *
> Could you please look if there is any mistake ??
> 
> Thanks
> 
> 
> On Wed, Apr 17, 2019 at 1:27 PM vincent.adrien at gmail.com
> <mailto:vincent.adrien at gmail.com> <vincent.adrien at gmail.com
> <mailto:vincent.adrien at gmail.com>> wrote:
> 
>     Kumar,
> 
>     FWIW, based on the [streamplot
>     example](https://matplotlib.org/gallery/images_contours_and_fields/plot_streamplot.html)
>     in the gallery, the following snippet seems to be working just fine
>     (with Matplotlib 3.0.1) ?even though? the amount of X and Y coordinate
>     values is (Nx, Ny) = (100, 50).
> 
>     ```python
>     import numpy as np
>     import matplotlib.pyplot as plt
> 
>     # Dummy data
>     w = 3
>     Nx, Ny = 100, 50
>     Y, X = np.mgrid[-w:w:50j, -w:w:100j]
>     U = -1 - X**2 + Y
>     V = 1 + X - Y**2
> 
>     fig, ax = plt.subplots()
> 
>     ax.streamplot(X, Y, U, V)
>     ax.set_title(f"{Nx/Ny:g}? more points along X than Y")
>     ```
> 
>     Best,
>     Adrien
> 
>     Le 17/04/2019 ? 08:14, Adrien VINCENT a ?crit?:
>     > Hi Kumar,
>     >
>     > Could provided a snippet with a (standalone) minimal working
>     example of what you have tried ?
>     >
>     > AFAICT, looking at
>     https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.streamplot.html
>     it does not look like X and Y arrays of coordinates have to be of
>     equal length (but the velocity arrays U and V should have relevant
>     dimensions relative to X and Y).
>     >
>     > Best regards,
>     > Adrien
>     >
>     >
>     >
>     > On April 16, 2019 11:05:01 PM GMT+02:00, Dhirendra Kumar
>     <dhirendra.cub at gmail.com <mailto:dhirendra.cub at gmail.com>> wrote:
>     >> Hii Folks
>     >>
>     >> I have an array with dimension (plev: 7, lat: 81). I was trying
>     to draw
>     >> streamline plot for Omega and V wind [Hadley cell].? I am facing some
>     >> error
>     >> with* plt.streamplot* as it says that both the dimension should be of
>     >> equal
>     >> size (i.e. N * N ). Is there any other way to create a streamline
>     plot
>     >> for
>     >> the data having unequal values along both the dimensions?
>     >>
>     >> I seek help of the community in this regard.
>     >>
>     >> I hope I framed my question correctly.? Please let me know if I
>     need to
>     >> clarify more details.
>     >>
>     >> Thank you
>     >
> 
> 
> 
> -- 
> ========================================
> Dhirendra Kumar
> PhD Student
> School of Environmental Sciences, JNU
> New Delhi (India)
> Contact: +91 9910778043
> Alternate email: dhirendra.cub at outlook.com
> <mailto:dhirendra.cub at outlook.com>
> =========================================


From dhirendra.cub at gmail.com  Wed Apr 17 14:58:48 2019
From: dhirendra.cub at gmail.com (Dhirendra Kumar)
Date: Thu, 18 Apr 2019 00:28:48 +0530
Subject: [Matplotlib-users] Query about streamplot
In-Reply-To: <d59b8644-4c11-9e75-bddc-8010dd8ff874@gmail.com>
References: <CANSz=03ZTw+ckDhj9E4Xa+02okvyfUAgu2r_KBU47j2wbZu-zg@mail.gmail.com>
 <EF597AA6-6CC9-4D23-B632-462CB1C142E4@gmail.com>
 <3356979b-8fc1-6a0a-02f1-75ce482aad36@gmail.com>
 <CANSz=03WCdxXUt+aL-MZ_-ngY2D1tHXf2KnwpUtK4H34NxChLA@mail.gmail.com>
 <d59b8644-4c11-9e75-bddc-8010dd8ff874@gmail.com>
Message-ID: <CANSz=02=Ai9b_rsy61prb2n372e43667uY9C=YGfscxEjR-5XQ@mail.gmail.com>

Hii Adrien

I guess I have found the problem but don't know how to go about it. The
documentation here (
https://matplotlib.org/api/_as_gen/matplotlib.pyplot.streamplot.html) says
that  x and y should be:

*x*, *y* : 1d arraysan *evenly spaced* grid.but in my case although I have
the same shape of the V and Omega values, it is unevenly distributed as a
grid. The plev values are: [1000.  925.  850.  700.  600.  500.  400.
300.  250.  200.  150.  100.] while x varies from 0-40 N at an interval of
0.5. So apparently it produces an unevely distributed gridspace in lat-plev
(xy).Please let me know what you think about this.ThanksDhirendra

On Wed, Apr 17, 2019 at 7:51 PM vincent.adrien at gmail.com <
vincent.adrien at gmail.com> wrote:

> Kumar,
>
> As far as I understand it, it looks like your issue may be due to X (and
> possibly Y) being 2d-array. If V and Omega are arrays with shape **(Ny,
> Nx)**, then X and Y should be **1d-arrays** with Nx and Ny elements
> respectively. For simplicity sake (I guess), there is actually a special
> (not very well documented) case if X and Y are 2d-arrays :
> - each row of X has to be the same;
> - each column in Y has to be same.
>
> The error that you saw suggest that the rows in your array X differ from
> one another.
>
> Adrien
>
> Le 17/04/2019 ? 11:55, Dhirendra Kumar a ?crit :
> > Hii Adrien
> >
> > Thanks for the reply. I have tried your example and could replicate it.
> > But in case of my script I have two variables:
> >
> > *V* and *Omega* having sizes:
> > ([('plev', 12), ('lat', 81)]))
> > ([('plev', 12), ('lat', 81)]))
> >
> > Plev has to be plotted on y axis and lat has to be plotted on x axis.
> >
> > I am using following lines to create the plot:
> >
> > plt.subplot(331)
> > plt.contourf(CC_W_CON11,cmap='RdBu')
> > plt.streamplot(X, Y, Omega,  V)
> >
> > This gives me an error as:
> >
> >   File
> > "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/pyplot.py",
> > line 2951, in streamplot
> >     if data is not None else {}))
> >   File
> > "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/__init__.py",
> > line 1810, in inner
> >     return func(ax, *args, **kwargs)
> >   File
> >
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/axes/_axes.py",
> > line 4882, in streamplot
> >     integration_direction=integration_direction)
> >   File
> >
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/streamplot.py",
> > line 79, in streamplot
> >     grid = Grid(x, y)
> >   File
> >
> "/opt/apps/ANACONDA/lib/python3.7/site-packages/matplotlib/streamplot.py",
> > line 311, in __init__
> >     raise ValueError("The rows of 'x' must be equal")
> > *ValueError: The rows of 'x' must be equal*
> > *
> > *
> > Could you please look if there is any mistake ??
> >
> > Thanks
> >
> >
> > On Wed, Apr 17, 2019 at 1:27 PM vincent.adrien at gmail.com
> > <mailto:vincent.adrien at gmail.com> <vincent.adrien at gmail.com
> > <mailto:vincent.adrien at gmail.com>> wrote:
> >
> >     Kumar,
> >
> >     FWIW, based on the [streamplot
> >     example](
> https://matplotlib.org/gallery/images_contours_and_fields/plot_streamplot.html
> )
> >     in the gallery, the following snippet seems to be working just fine
> >     (with Matplotlib 3.0.1) ?even though? the amount of X and Y
> coordinate
> >     values is (Nx, Ny) = (100, 50).
> >
> >     ```python
> >     import numpy as np
> >     import matplotlib.pyplot as plt
> >
> >     # Dummy data
> >     w = 3
> >     Nx, Ny = 100, 50
> >     Y, X = np.mgrid[-w:w:50j, -w:w:100j]
> >     U = -1 - X**2 + Y
> >     V = 1 + X - Y**2
> >
> >     fig, ax = plt.subplots()
> >
> >     ax.streamplot(X, Y, U, V)
> >     ax.set_title(f"{Nx/Ny:g}? more points along X than Y")
> >     ```
> >
> >     Best,
> >     Adrien
> >
> >     Le 17/04/2019 ? 08:14, Adrien VINCENT a ?crit :
> >     > Hi Kumar,
> >     >
> >     > Could provided a snippet with a (standalone) minimal working
> >     example of what you have tried ?
> >     >
> >     > AFAICT, looking at
> >
> https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.streamplot.html
> >     it does not look like X and Y arrays of coordinates have to be of
> >     equal length (but the velocity arrays U and V should have relevant
> >     dimensions relative to X and Y).
> >     >
> >     > Best regards,
> >     > Adrien
> >     >
> >     >
> >     >
> >     > On April 16, 2019 11:05:01 PM GMT+02:00, Dhirendra Kumar
> >     <dhirendra.cub at gmail.com <mailto:dhirendra.cub at gmail.com>> wrote:
> >     >> Hii Folks
> >     >>
> >     >> I have an array with dimension (plev: 7, lat: 81). I was trying
> >     to draw
> >     >> streamline plot for Omega and V wind [Hadley cell].  I am facing
> some
> >     >> error
> >     >> with* plt.streamplot* as it says that both the dimension should
> be of
> >     >> equal
> >     >> size (i.e. N * N ). Is there any other way to create a streamline
> >     plot
> >     >> for
> >     >> the data having unequal values along both the dimensions?
> >     >>
> >     >> I seek help of the community in this regard.
> >     >>
> >     >> I hope I framed my question correctly.  Please let me know if I
> >     need to
> >     >> clarify more details.
> >     >>
> >     >> Thank you
> >     >
> >
> >
> >
> > --
> > ========================================
> > Dhirendra Kumar
> > PhD Student
> > School of Environmental Sciences, JNU
> > New Delhi (India)
> > Contact: +91 9910778043
> > Alternate email: dhirendra.cub at outlook.com
> > <mailto:dhirendra.cub at outlook.com>
> > =========================================
>
>

-- 
========================================
Dhirendra Kumar
PhD Student
School of Environmental Sciences, JNU
New Delhi (India)
Contact: +91 9910778043
Alternate email: dhirendra.cub at outlook.com
=========================================
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From tcaswell at gmail.com  Sat Apr 20 22:09:52 2019
From: tcaswell at gmail.com (Thomas Caswell)
Date: Sat, 20 Apr 2019 22:09:52 -0400
Subject: [Matplotlib-users] [REL] Matplotlib 3.1.0rc1
Message-ID: <CAA48SF8xH3r4R35br5AxnrRjLpmegbQu1yDV_Yce-uRFx9QT_A@mail.gmail.com>

Folks,

We have tagged Matplotlib v3.1.0rc1.  The tarball and wheels are on pypi
and can be installed via

pip install --pre --upgrade matplotlib

conda-forge packages are

Highlights of the new features:

 - A concise date formatter
 - Secondary axis support (ex, degrees and radians)
 - A helper method for scatter legends
 - A progress callback for animations
 - No longer requires a framework build of Python to use OSX backend
 - Major and minor ticks will no longer collide by default

In addition we have many API deprecations, mostly to obscure corners of the
code base, in an effort to make the library more coherent and
maintainable.  Please test RC and let us know if any of these deprecations
break down stream projects.

For full details see:

https://matplotlib.org/devdocs/users/whats_new.html#what-s-new-in-matplotlib-3-1

and
https://matplotlib.org/devdocs/api/api_changes.html#api-changes-for-3-1-0

I expect there to be at least one more rc and aim for the final release the
first week of May.

Thank you to all the people who worked on this release!

Tom

-- 
Thomas Caswell
tcaswell at gmail.com
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From niklas.berliner at gmail.com  Tue Apr 30 05:02:19 2019
From: niklas.berliner at gmail.com (Niklas Berliner)
Date: Tue, 30 Apr 2019 10:02:19 +0100
Subject: [Matplotlib-users] Hexbin plot,
 PolyCollection and inconsistent facecolor values
Message-ID: <CAJ4spfvHXW6Z2RGqv5M+ZverTmEWGehzeWSePpBw+2zhqYid8Q@mail.gmail.com>

Hi,

I am trying to change the edgecolor of some hexbin patches in a hexbin
plot. Fiddling around with it to understand how this could work, I
encountered a behaviour I cannot understand. I initially opened an issue at
seaborn here https://github.com/mwaskom/seaborn/issues/1734 . I get the
same behaviour with pure matplotlib and am now asking here for help.

Calling get_facecolors() on the PolyCollection returned by plt.hexbin gives
different results depending on the jupyter notebook cell within which the
call is made.

Here's my example (assuming the code is run in a notebook, using Python
3.6.8, NumPy 1.16.2, Matplotlib 3.0.3, Jupyter 4.4.0)

Cell 1:
-------
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
-------

Cell 2:
-------
x = np.array([1,1,1,1.5,1.5,2])
y = np.array([1,1,1,1,1,1])
-------

Cell 3:
-------
polycollection = plt.hexbin(x, y, C=np.ones(x.shape),
reduce_C_function=np.sum, extent=[1, 2, 0.5, 1.5], gridsize=3,
linewidths=1, edgecolors='face')
print(polycollection.get_facecolors())
-------
This plots three hexbins with different counts and different colours. Here,
get_facecolors() returns a (1,4) array, namely,
[[0.12156863 0.46666667 0.70588235 1.        ]]

Cell 4:
-------
print(polycollection.get_facecolors())
-------
When calling get_facecolors() again in the next cell, a (3,4) array is
returned, namely,
[[0.993248 0.906157 0.143936 1.      ]
 [0.127568 0.566949 0.550556 1.      ]
 [0.267004 0.004874 0.329415 1.      ]]


The second array seems to be the correct one I think (there are different
colors for each of the three hexbins). What is happening here? I am very
confused!

Thanks,
Niklas
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From pierig.havez_bodivit at icloud.com  Sun Apr 14 09:01:39 2019
From: pierig.havez_bodivit at icloud.com (Pierig Havez-Bodivit)
Date: Sun, 14 Apr 2019 13:01:39 -0000
Subject: [Matplotlib-users] Constant failed import
Message-ID: <C6CE28EE-1F21-47DC-BE8E-EA68C9B00816@icloud.com>

Hi, my name is Pierig, I?m a French student, I use python for my study but I?ve got issue with your library.
I?m running it on PyCharm and Pyzo on MacOSX and while I can import your library, there's no way of using any of the module, such as : plt.figure() or plt.plot() while other libraries like numpy work. I?ve got this message:
I really need your library to work, can you help me with that?
Sincerely yours
Pierig
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From ramond_yuan at 139.com  Mon Apr 15 05:51:32 2019
From: ramond_yuan at 139.com (ramond_yuan)
Date: Mon, 15 Apr 2019 09:51:32 -0000
Subject: [Matplotlib-users] how to create 3D plot from a csv or excel
Message-ID: <2b065cb44e049cb-00018.Richmail.00041743235583558693@139.com>



Hello,all:




I am a beginner using matplotlib. Can you help me to solve below questions:

I want to create a 3D plot from a csv file or excel file.

The x axis is ?time?

The y axis is ?RB??from RB0 to RB49?

The z axis is ?value?


When using matplotlib, I meet to problems:1, the x, y axis is not value, they are text. 
2,  The z value is not a formula?but corresponding to the table. 


I cannot found answers from the web, so could any body give me some support.
Thanks.


Ramond Yuan
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From madicken.munk at gmail.com  Fri Apr 26 18:38:39 2019
From: madicken.munk at gmail.com (Madicken Munk)
Date: Fri, 26 Apr 2019 22:38:39 -0000
Subject: [Matplotlib-users] 2019 John Hunter Excellence in Plotting Contest
 Reminder
Message-ID: <CACZp+DGv4wwe6=sRoS-d0s-JigTBPpJgG_P-_FqmcxVsN-NUuw@mail.gmail.com>

Hi everybody, I'd like to remind you all about the 2019 John Hunter
Excellence in Plotting Contest. My apologies to those of you getting this
on multiple lists.


In memory of John Hunter, we are pleased to be reviving the SciPy John
Hunter Excellence in Plotting Competition for 2019. This open competition
aims to highlight the importance of data visualization to scientific
progress and showcase the capabilities of open source software.

Participants are invited to submit scientific plots to be judged by a
panel. The winning entries will be announced and displayed at the
conference.

John Hunter?s family and NumFocus are graciously sponsoring cash prizes for
the winners in the following amounts:


   -

   1st prize: $1000
   -

   2nd prize: $750
   -

   3rd prize: $500



   -

   Entries must be submitted by June, 8th to the form at
   https://goo.gl/forms/cFTB3FUBrMPfQ7Vz1
   -

   Winners will be announced at Scipy 2019 in Austin, TX.
   -

   Participants do not need to attend the Scipy conference.
   -

   Entries may take the definition of ?visualization? rather broadly.
   Entries may be, for example, a traditional printed plot, an interactive
   visualization for the web, or an animation.
   -

   Source code for the plot must be provided, in the form of Python code
   and/or a Jupyter notebook, along with a rendering of the plot in a widely
   used format.  This may be, for example, PDF for print, standalone HTML and
   Javascript for an interactive plot, or MPEG-4 for a video. If the original
   data can not be shared for reasons of size or licensing, "fake" data may be
   substituted, along with an image of the plot using real data.
   -

   Each entry must include a 300-500 word abstract describing the plot and
   its importance for a general scientific audience.
   -

   Entries will be judged on their clarity, innovation and aesthetics, but
   most importantly for their effectiveness in communicating a real-world
   problem. Entrants are encouraged to submit plots that were used during the
   course of research or work, rather than merely being hypothetical.
   -

   SciPy reserves the right to display any and all entries, whether
   prize-winning or not, at the conference, use in any materials or on its
   website, with attribution to the original author(s).


SciPy John Hunter Excellence in Plotting Competition Co-Chairs

Hannah Aizenman

Thomas Caswell

Madicken Munk

Nelle Varoquaux
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