From Randall.Benson at avangrid.com  Wed Apr  1 16:18:43 2020
From: Randall.Benson at avangrid.com (Benson, Randall)
Date: Wed, 1 Apr 2020 20:18:43 +0000
Subject: [Matplotlib-users] Adding 2 Data Array's Math Operation
Message-ID: <DM6PR06MB49546F126B80F24554F0D6CBF8C90@DM6PR06MB4954.namprd06.prod.outlook.com>

Hi -
I'm struggling to figure out why I am not receiving the result from trying to add 2 unique but with same shape DataArrays that look like this below:

<xarray.DataArray 'stack-1eae019110cce9444c8807bfd58d45fb' (variable: 1, lat: 73, lon: 144)>
dask.array<pow, shape=(1, 73, 144), dtype=float32, chunksize=(1, 73, 144), chunktype=numpy.ndarray>
Coordinates:
  * lat       (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0
  * lon       (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5
    month     int64 2
  * variable  (variable) <U4 'uwnd'

Doing this in my code --- >  speedc = np.sqrt(uwindc*uwindc+vwindc*vwindc)
Gives me an empty (when I try speedc.plot()) variable that looks like this below:

speedc
Out[219]:
<xarray.DataArray (variable: 0, lat: 73, lon: 144)>
dask.array<sqrt, shape=(0, 73, 144), dtype=float32, chunksize=(0, 73, 144), chunktype=numpy.ndarray>
Coordinates:
  * variable  (variable) object
  * lat       (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0
  * lon       (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5
    month     int64 2

Thank you for any help that you can provide after I've exhausted my search (I must be missing something).

Randall
[Description: cid:image001.jpg at 01D34737.23261CB0]
Randall P. Benson, PhD
Wind Asset Meteorologist, Energy Resource - Onshore

1125 NW Couch Street, Suite 700
Portland, Oregon, USA 97209
Telephone  503-796-7129
Cell  971-227-2477
randall.benson at avangrid.com<mailto:randall.benson at avangrid.com>

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From x.piter at gmail.com  Thu Apr  2 14:53:01 2020
From: x.piter at gmail.com (Piter_)
Date: Thu, 2 Apr 2020 20:53:01 +0200
Subject: [Matplotlib-users] position of level label.
Message-ID: <CAKMLjj6Q1YkmYvLSG1nA=MvMcXT3_1qpgSFRd8WKg-WJ3Rq_Tg@mail.gmail.com>

Hi everyone.
Is it possible to set position of level labels in contour plot?
https://matplotlib.org/3.1.0/gallery/images_contours_and_fields/contour_label_demo.html#
Thanks.
Petro.
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From ndbecker2 at gmail.com  Fri Apr  3 16:11:29 2020
From: ndbecker2 at gmail.com (Neal Becker)
Date: Fri, 3 Apr 2020 16:11:29 -0400
Subject: [Matplotlib-users] scatter c=colors seems confusing and inconsistent
Message-ID: <CAG3t+pFprbGDpxGCvTaShjKx78U7976m2-PqH_YwexYjPrr78A@mail.gmail.com>

For 2d scatter, I can pass 2d arrays as X and Y.  But it seems not c=.

Here is a demonstration:
------------
import matplotlib.pyplot as plt
import numpy as np
A = np.array

import colorcet as cc
cmap = cc.m_rainbow

x = A([[0,.25], [0.5, 0.75]])
y = x**2
colors = np.empty (x.shape, dtype=object)
for i in range(2):
    for j in range(2):
        colors[i,j] = cmap(x[i,j])

plt.scatter (x, y, c=colors.flatten())
--------------

Without colors.flatten(), mpl will give an error.  It seems to be OK with X
and Y being 2D, but not c.
In this example I have given c as a 2d array of objects, each object being
an RGBA tuple.

Is there an easier way?  Preferably one that doesn't require me to
specifically allocate an empty array of objects
and then populate it with an explicit loop?
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From efiring at hawaii.edu  Fri Apr  3 16:39:56 2020
From: efiring at hawaii.edu (Eric Firing)
Date: Fri, 3 Apr 2020 10:39:56 -1000
Subject: [Matplotlib-users] scatter c=colors seems confusing and
 inconsistent
In-Reply-To: <CAG3t+pFprbGDpxGCvTaShjKx78U7976m2-PqH_YwexYjPrr78A@mail.gmail.com>
References: <CAG3t+pFprbGDpxGCvTaShjKx78U7976m2-PqH_YwexYjPrr78A@mail.gmail.com>
Message-ID: <3b53689e-38ab-5587-8222-86fc10b80daa@hawaii.edu>

Neal,

You can use the built-in color-mapping, like this:

import matplotlib.pyplot as plt
import numpy as np
A = np.array

import colorcet as cc
cmap = cc.m_rainbow

x = A([[0,.25], [0.5, 0.75]])
y = x**2

plt.scatter (x, y, c=x, cmap=cmap)


-------

Eric

On 2020/04/03 10:11 AM, Neal Becker wrote:
> import matplotlib.pyplot as plt
> import numpy as np
> A = np.array
> 
> import colorcet as cc
> cmap = cc.m_rainbow
> 
> x = A([[0,.25], [0.5, 0.75]])
> y = x**2
> colors = np.empty (x.shape, dtype=object)
> for i in range(2):
>  ? ? for j in range(2):
>  ? ? ? ? colors[i,j] = cmap(x[i,j])
> 
> plt.scatter (x, y, c=colors.flatten())


From efiring at hawaii.edu  Sat Apr  4 02:59:23 2020
From: efiring at hawaii.edu (Eric Firing)
Date: Fri, 3 Apr 2020 20:59:23 -1000
Subject: [Matplotlib-users] Connect plot in Contourf when there are
 missing values(nan)
In-Reply-To: <1582184535596-0.post@n5.nabble.com>
References: <1582184535596-0.post@n5.nabble.com>
Message-ID: <a1b7ab59-f61b-0f4e-c286-ddbc8c264e83@hawaii.edu>

I just found this unread in my email stack--did anyone reply to you 
already?  If not, the answer to your question is no, matplotlib declines 
to fill bad value gaps via interpolation.  We believe that as a plotting 
library, we should generally plot the data as provided, leaving it to 
the user to interpolate over gaps, if that is desired.

Eric

On 2020/02/19 9:42 PM, apu wrote:
> I am plotting x, y, z values using contourf plots. However I have some
> missing z values (nan). All these regions are shown as blanks and the graph
> looks diconnected.
> 
> Is there a way for the plot to have connected gaps? Plotly has an option to
> connect gaps with smooth transitions?
> https://plot.ly/python/contour-plots/#connect-the-gaps-between-none-values-in-the-z-matrix
> 
> Do we have an equivalent of this in matlotlib contourf plots?
> 
> 
> 
> --
> Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
> 


From bret.foreman at gmail.com  Wed Apr 15 11:42:24 2020
From: bret.foreman at gmail.com (Bret Foreman)
Date: Wed, 15 Apr 2020 08:42:24 -0700
Subject: [Matplotlib-users] continuous plotting with mplot3d
Message-ID: <CAJ7nT9EBU_LG1aP7YBGpK6W0do2d7USqwTmSPuLoiJgcA+F2Tg@mail.gmail.com>

I'm using Python 2.7 on Windows 10 in a Jupyter Notebook.

I have an external orientation sensor on a USB port. I want to periodically
poll that sensor at around 10Hz and update the orientation of a figure on
the screen with each new sample. The sensor returns a quaternion when
polled which I convert to a rotation matrix to rotate a 3D image array.
This all works fine.

My problem is getting mplot3d to update the displayed image dynamically
after each orientation sample. All I can get is a plot at the end of the
run, nothing updates while I'm sampling. How can I change this code to plot
dynamically?

Here's my code:
























































*import serial.tools.list_ports   # import serial moduleimport
threespace_api_mod_Bret as ts_apiimport numpy as npimport quaternionimport
matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3Dimport
timedef pack_quat_3space_array( array ):    return np.quaternion( array[3]
, array[0] , array[1] , array[2] )class SensorAnimation( object ):
  def __init__(self,commport):        # Create 3D axis        self.fig =
plt.figure()        self.ax <http://self.ax> = self.fig.add_subplot(111,
projection='3d')        # Initialize the 3space sensor        self.sensor =
ts_api.TSUSBSensor(commport)        #create the 3d image to rotate
zline = np.linspace(0, 15, 1000)        xline = np.sin(zline)        yline
= np.cos(zline)        # Put the 3d data into an array for rotation
self.image_array = np.array([xline,yline,zline])        # Draw the initial
image        self.ax.plot3D(xline, yline, zline, 'red')        #
plt.show(block=False)    def RefreshPosition( self , previous ):        if
self.sensor is not None:            rot_matrix =
quaternion.as_rotation_matrix(pack_quat_3space_array(sensor.getTaredOrientationAsQuaternion()))
          result = np.dot(rot_matrix,self.image_array)            if
previous is not None:                try:                    plt.cla()
          except Exception as e:                    print(e)
previous = self.ax.plot3D(result[0], result[1], result[2], 'green')
    # plt.pause(0.00001)            return previous    def Close( self ):
      if self.sensor is not None:            self.sensor.close()try:    #
Set up animation object    sanimate = SensorAnimation("COM5")    previous =
None    for i in range(20):        previous = sanimate.RefreshPosition(
previous )        time.sleep(0.1)    sanimate.Close()*

-- 
Bret Foreman
415-608-0604
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From andreas_schn at web.de  Wed Apr 22 04:33:26 2020
From: andreas_schn at web.de (Andreas Schneider)
Date: Wed, 22 Apr 2020 10:33:26 +0200
Subject: [Matplotlib-users] Arc and art3d.pathpatch_2d_to_3d
Message-ID: <11f783bb-7e00-1614-0acb-24cf57c9c14e@web.de>

Hi,

I'm trying to plot an arc in a 3d plot using patches.Arc and
art3d.pathpatch_2d_to_3d. However, although the arc is correctly shown
from theta1 to theta2 in a 2d plot, the 3d plot always shows the full
circle. Here is a minimal example:

from matplotlib import pyplot as plt
from matplotlib import patches
from mpl_toolkits.mplot3d import art3d

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
p = patches.Arc((0, 0), 0.5, 0.5, angle=0., theta1=0., theta2=45.)
ax.add_patch(p)
art3d.pathpatch_2d_to_3d(p, z=0, zdir="y")
plt.show()

I get a whole circle but want to have an arc only from 0 degrees to 45
degrees. A corresponding 2d plot shows the arc correctly:

fig = plt.figure()
ax = fig.add_subplot(111)
p = patches.Arc((0, 0), 0.5, 0.5, angle=0., theta1=0., theta2=45.)
ax.add_patch(p)
plt.show()

What am I doing wrong with the conversion from 2d to 3d?

I tried Python 3.7.3 with Matplotlib 3.0.2 and Python 2.7.16 with
Matplotlib 2.2.3 (which are shipped with my Linux distribution).

Thanks in advance for your help.

Andreas

From izabelcvetkovic at gmail.com  Wed Apr 22 11:57:51 2020
From: izabelcvetkovic at gmail.com (=?UTF-8?Q?Izabel_Cvetkovi=C4=87?=)
Date: Wed, 22 Apr 2020 17:57:51 +0200
Subject: [Matplotlib-users] import problems matplotlib.transforms,
 matplotlib.numerix
Message-ID: <CA+SUpqmGPcO=CFp4Zu0=MwZnC47oyfHLkYRL8i5YTrSgNfc-qw@mail.gmail.com>

Hi all,

I am having troubles importing from matplotlib.transforms, specifically the
Value and Point methods. Other than that I cannot import
matplotlib.numerix, the error message is: no module named
'matplotlib.numerix'. Now, I assume that this has to do with the matplotlib
version, as I am using the latest version, and when I checked, there are
indeed no 'Value' and 'Point' methods in the transforms module.

Does anyone know how this changed with versions and which version should I
use to successfully import these modules?

Best wishes;
Izabel
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From efiring at hawaii.edu  Wed Apr 22 12:55:16 2020
From: efiring at hawaii.edu (Eric Firing)
Date: Wed, 22 Apr 2020 06:55:16 -1000
Subject: [Matplotlib-users] import problems matplotlib.transforms,
 matplotlib.numerix
In-Reply-To: <CA+SUpqmGPcO=CFp4Zu0=MwZnC47oyfHLkYRL8i5YTrSgNfc-qw@mail.gmail.com>
References: <CA+SUpqmGPcO=CFp4Zu0=MwZnC47oyfHLkYRL8i5YTrSgNfc-qw@mail.gmail.com>
Message-ID: <c133387c-0877-1388-4f36-3926f1a6f4c1@hawaii.edu>

Izabel,

You must be trying to run some extremely old code, more than 12 years 
old.  Value and Point date back to the earliest days of mpl (the 
original _transforms.cpp written by John Hunter), and the numerix module 
was a compatibility shim for supporting the original Numeric and 
numarray, which were made obsolete by numpy.  (I removed numerix in 
2010; it had been deprecated for 17 months.)

Eric

On 2020/04/22 5:57 AM, Izabel Cvetkovi? wrote:
> Hi all,
> 
> I am having troubles importing from matplotlib.transforms, specifically 
> the Value and Point methods. Other than that I cannot import 
> matplotlib.numerix, the error message is: no module named 
> 'matplotlib.numerix'. Now, I assume that this has to do with the 
> matplotlib version, as I am using the latest version, and when I 
> checked, there are indeed no 'Value' and 'Point' methods in the 
> transforms module.
> 
> Does anyone know how this changed with versions and which version should 
> I use to successfully?import these modules?
> 
> Best wishes;
> Izabel
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
> 


From tcaswell at gmail.com  Wed Apr 22 13:16:07 2020
From: tcaswell at gmail.com (Thomas Caswell)
Date: Wed, 22 Apr 2020 13:16:07 -0400
Subject: [Matplotlib-users] Arc and art3d.pathpatch_2d_to_3d
In-Reply-To: <11f783bb-7e00-1614-0acb-24cf57c9c14e@web.de>
References: <11f783bb-7e00-1614-0acb-24cf57c9c14e@web.de>
Message-ID: <CAA48SF_yCnYENnZPWftfqyyavj0FGGLw_9T6AjdZOV_XtU8Bzg@mail.gmail.com>

This is because `Arc` has a lot of logic in it's `draw` method to make sure
that the arcs draw correctly and efficiently even if you are zoomed in an a
small section, but uses the `Ellipse` patch as it's base (to manage the
major/minor axis, location, etc).   `Ellipse` works by setting some
internal state and then using the draw method from `Patch`.

What `art3d.pathpatch_2d_to_3d` does under the hood is change what
`__class__` the object thinks it is (!!) and tells your Arc it is now a
`Patch3D` and uses the state for the base Path state to draw its self,
which due to inheriting from Ellipse is the full ellipse.

Having said that, I don't have a good idea of how to fix this.  I think the
minimal solution is to adjust the path in `Arc` to clip it self to the
given range (so the up-convert to Path3D works) and to make sure that the
path re-sampling logic in the 2D draw still works on the pre-clipped path.

Tom

On Wed, Apr 22, 2020 at 4:38 AM Andreas Schneider <andreas_schn at web.de>
wrote:

> Hi,
>
> I'm trying to plot an arc in a 3d plot using patches.Arc and
> art3d.pathpatch_2d_to_3d. However, although the arc is correctly shown
> from theta1 to theta2 in a 2d plot, the 3d plot always shows the full
> circle. Here is a minimal example:
>
> from matplotlib import pyplot as plt
> from matplotlib import patches
> from mpl_toolkits.mplot3d import art3d
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> p = patches.Arc((0, 0), 0.5, 0.5, angle=0., theta1=0., theta2=45.)
> ax.add_patch(p)
> art3d.pathpatch_2d_to_3d(p, z=0, zdir="y")
> plt.show()
>
> I get a whole circle but want to have an arc only from 0 degrees to 45
> degrees. A corresponding 2d plot shows the arc correctly:
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> p = patches.Arc((0, 0), 0.5, 0.5, angle=0., theta1=0., theta2=45.)
> ax.add_patch(p)
> plt.show()
>
> What am I doing wrong with the conversion from 2d to 3d?
>
> I tried Python 3.7.3 with Matplotlib 3.0.2 and Python 2.7.16 with
> Matplotlib 2.2.3 (which are shipped with my Linux distribution).
>
> Thanks in advance for your help.
>
> Andreas
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>


-- 
Thomas Caswell
tcaswell at gmail.com
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From kees.serier at gmail.com  Wed Apr 29 09:53:23 2020
From: kees.serier at gmail.com (Kees Serier)
Date: Wed, 29 Apr 2020 15:53:23 +0200
Subject: [Matplotlib-users] subplots and xticklabels
Message-ID: <CAB0Ok_xBDSZvpBeL4kfMT=-DLCynxr9yH_nO30QCruH6=64M-g@mail.gmail.com>

Hi,

I have been making some graphs with multiple curves with Python 3.7.5 and
Matplotlib 3.0.2.
Now I want to plot 4 curves in 3 graphs with subplot.
This works and the 3 graphs are plotted correctly, including the legends.
Only I can't get my X values printed, like I did in my previous graphs with:

labels = ax.get_xticklabels()
plt.setp(labels, fontsize=6, rotation = 90.)

My script is like:

ax = plt.axes()
name_list = tuple(X)
pos_list = np.arange(len(name_list))
ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list)))
ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list)))
grid_size = (3,1)
fig = plt.figure()

plt.subplot2grid(grid_size, (0, 0), rowspan = 1, colspan = 1)
plt.plot(pos_list, value_list[0], label = "r/s")
plt.plot(pos_list, value_list[1], label = "w/s")
plt.title(plt_title)
plt.legend(loc = 'lower left', fontsize=6)
plt.grid(True)
#plt.setp(labels, visible=False) # does not work

plt.subplot2grid(grid_size, (1, 0), rowspan = 1, colspan = 1)
plt.plot(pos_list, value_list[2], label = "blks/s (kB)")
plt.legend(loc = 'lower left', fontsize=6)
plt.grid(True)
#plt.setp(labels, visible=False) # does not work

plt.subplot2grid(grid_size, (2, 0), rowspan = 1, colspan = 1)
plt.plot(pos_list, value_list[3], label = "avser (ms)")
plt.legend(loc = 'lower left', fontsize=6)

labels = ax.get_xticklabels()
plt.setp(labels, fontsize=6, rotation = 90.)
fig.subplots_adjust(hspace=0)

plt.grid(True)
plt.show()

I have tried a lot of things, but can't get it working.

Thank you in advance,

Kees
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From andre.kjellstrup at gmail.com  Sat Apr 11 04:15:08 2020
From: andre.kjellstrup at gmail.com (Andre)
Date: Sat, 11 Apr 2020 08:15:08 -0000
Subject: [Matplotlib-users] Third Y axis is like cryptonite to pyplot.
Message-ID: <1586592909035-0.post@n5.nabble.com>

I modified
https://matplotlib.org/3.2.1/gallery/ticks_and_spines/multiple_yaxis_with_spines.html
to have a fourth data-set: 
https://gist.github.com/AndKe/c0c999a22a8daebafb62171b671bf131

With the offset of "1.35"
par3.spines["right"].set_position(("axes", 1.35))
One can get a glimpse of that, any less, and it will overlap, and more it
will be invisible.

changing "right" to "left" does nothing.
Also, the resulting spines placement does vary with the width of the window. 
- wasting more space the wider the window gets.



--
Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

From hedy.boujelben at etudiant-enit.utm.tn  Mon Apr 20 12:13:06 2020
From: hedy.boujelben at etudiant-enit.utm.tn (Hedy BOUJELBEN)
Date: Mon, 20 Apr 2020 16:13:06 -0000
Subject: [Matplotlib-users] Logarithmic scale in 3D surface
Message-ID: <CAEcn13rzAmYerRcCFn3W71i6BFO-9h7g=JaKEK9n_+Zc9ZXV5A@mail.gmail.com>

Hello,
I'm mechanical student and i'm using python for a project
I don't find the logarithmic scale in python for 3D graphs can you help me
please ?
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