From regev81 at gmail.com  Tue Dec  3 10:09:31 2019
From: regev81 at gmail.com (regev81)
Date: Tue, 3 Dec 2019 08:09:31 -0700 (MST)
Subject: [Matplotlib-users] Add and remove points to a scatter plot
 repeatedly
Message-ID: <1575385771622-0.post@n5.nabble.com>

I am trying to add and remove points to a scatter plot repeatedly, each time
with a different set of points,  while a wireframe plot is in the
background.
is there a way to do so with out closing the all figure window and the
background wireframe plot?

Thanks

Here is my python code:
import gdal
from mpl_toolkits.mplot3d.axes3d import *
import matplotlib.pyplot as plt
from pathlib import Path

#import the raster tif file and convert to 2d array
dataset = gdal.Open("dem_demo.tif")
dem_arr = dataset.ReadAsArray()

#slicing
#dem_arr[start row:end row,start col:end col]
sliced_dem_arr = dem_arr[100:151,100:151]
rowCount = sliced_dem_arr.shape[0]
colCount = sliced_dem_arr.shape[1]

#set the X, Y, Z arrays for plotting process
rowArr = np.arange(1,rowCount+1)
colArr = np.arange(1,colCount+1)
X, Y = np.meshgrid(rowArr, colArr)
Z = sliced_dem_arr

#set 3d view ans labels
ax = plt.axes(projection='3d')
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')

############plotting the dtm ########################
###wireframe
ax.plot_wireframe(X, Y, Z, color='green')

#Add points #01
points_list = [(2,6),(30,14),(39,15)]
for p in points_list:
    ax.scatter(p[0], p[1], sliced_dem_arr[p[0],p[1]], c = 'r')
plt.show()

#Add points #02
points_list2 = [(5,23),(24,4),(12,45)]
for p in points_list2:
    ax.scatter(p[0], p[1], sliced_dem_arr[p[0],p[1]], c = 'r')
plt.show()

<http://matplotlib.1069221.n5.nabble.com/file/t5275/example.jpeg> 



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From selasley at icloud.com  Tue Dec  3 15:34:53 2019
From: selasley at icloud.com (Scott Lasley)
Date: Tue, 3 Dec 2019 15:34:53 -0500
Subject: [Matplotlib-users] Add and remove points to a scatter plot
 repeatedly
In-Reply-To: <1575385771622-0.post@n5.nabble.com>
References: <1575385771622-0.post@n5.nabble.com>
Message-ID: <6AC2A913-56FB-42C7-873E-C8AD9B378748@icloud.com>

You could use animation.  See https://stackoverflow.com/questions/41602588/matplotlib-3d-scatter-animations 

Here is a short example based on the Matplotlib wireframe example (https://matplotlib.org/3.1.1/gallery/mplot3d/wire3d.html) and your two sets of points.  This will work in a Jupyter notebook if you use the  %matplotlib notebook  magic command but the animation does not work with jupyter lab.


import numpy as np
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import matplotlib.animation


def update_graph(num):
    # alternate between the 2 sets of points
    num = 3 * (num % 2)
    data = points[num:num+3]
    dots.set_data (data[:,0], data[:,1])
    dots.set_3d_properties(data[:,2])
    return dots, 


fig = plt.figure(figsize=(8,8))
ax = fig.add_subplot(111, projection='3d')

# Plot a basic wireframe.
X, Y, Z = axes3d.get_test_data(0.05)
ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10, color='green')

# set up the points to be plotted
points_list = np.array([(2,6),(30,14),(39,15)])
points = np.append(points_list, 
                  Z[points_list[:,0], points_list[:,1]].reshape(3,1),
                  1)
points_list2 = np.array([(5,23),(24,4),(12,45)])
points = np.append(points, 
                  np.append(points_list2, Z[points_list2[:,0], points_list2[:,1]].reshape(3,1), 1),
                  0)

dots, = ax.plot(points[:,0][:3], points[:,1][:3], points[:,2][:3], 
                linestyle="", marker="o", c='r')


ani = matplotlib.animation.FuncAnimation(fig, update_graph, 2, 
                               interval=500, blit=True)
plt.show()


I ran the example with matplotlib 3.1.1 in python 3.8.

Hth,
Scott


> On Dec 3, 2019, at 10:09 AM, regev81 <regev81 at gmail.com> wrote:
> 
> I am trying to add and remove points to a scatter plot repeatedly, each time
> with a different set of points,  while a wireframe plot is in the
> background.
> is there a way to do so with out closing the all figure window and the
> background wireframe plot?
> 
> Thanks
> 
> Here is my python code:
> import gdal
> from mpl_toolkits.mplot3d.axes3d import *
> import matplotlib.pyplot as plt
> from pathlib import Path
> 
> #import the raster tif file and convert to 2d array
> dataset = gdal.Open("dem_demo.tif")
> dem_arr = dataset.ReadAsArray()
> 
> #slicing
> #dem_arr[start row:end row,start col:end col]
> sliced_dem_arr = dem_arr[100:151,100:151]
> rowCount = sliced_dem_arr.shape[0]
> colCount = sliced_dem_arr.shape[1]
> 
> #set the X, Y, Z arrays for plotting process
> rowArr = np.arange(1,rowCount+1)
> colArr = np.arange(1,colCount+1)
> X, Y = np.meshgrid(rowArr, colArr)
> Z = sliced_dem_arr
> 
> #set 3d view ans labels
> ax = plt.axes(projection='3d')
> ax.set_xlabel('x')
> ax.set_ylabel('y')
> ax.set_zlabel('z')
> 
> ############plotting the dtm ########################
> ###wireframe
> ax.plot_wireframe(X, Y, Z, color='green')
> 
> #Add points #01
> points_list = [(2,6),(30,14),(39,15)]
> for p in points_list:
>    ax.scatter(p[0], p[1], sliced_dem_arr[p[0],p[1]], c = 'r')
> plt.show()
> 
> #Add points #02
> points_list2 = [(5,23),(24,4),(12,45)]
> for p in points_list2:
>    ax.scatter(p[0], p[1], sliced_dem_arr[p[0],p[1]], c = 'r')
> plt.show()
> 
> <http://matplotlib.1069221.n5.nabble.com/file/t5275/example.jpeg> 
> 
> 
> 
> --
> 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 regev81 at gmail.com  Tue Dec  3 16:19:28 2019
From: regev81 at gmail.com (regev81)
Date: Tue, 3 Dec 2019 14:19:28 -0700 (MST)
Subject: [Matplotlib-users] Add and remove points to a scatter plot
 repeatedly
In-Reply-To: <6AC2A913-56FB-42C7-873E-C8AD9B378748@icloud.com>
References: <1575385771622-0.post@n5.nabble.com>
 <6AC2A913-56FB-42C7-873E-C8AD9B378748@icloud.com>
Message-ID: <1575407968771-0.post@n5.nabble.com>

Thanks, Scott.

But i create the scatter plots in runtime and i want to present them when i
want by a function and not by a time interval.
Is there a way to do so ?





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From viniciushenrique951 at hotmail.com  Thu Dec  5 14:17:04 2019
From: viniciushenrique951 at hotmail.com (vinicius951)
Date: Thu, 5 Dec 2019 12:17:04 -0700 (MST)
Subject: [Matplotlib-users] Plot a graph using matplotlib.pyplot
Message-ID: <1575573424337-0.post@n5.nabble.com>

Hi, do you remember me? You help me days ago, and i wanna that you help me
again if you don't mind.
The code below is for plotting the graphs on my screen, but the
visualization still not as expected.
The axis-y is composed of words relatively larges, and the figure ends up
cutting the words.
The colors are not yet intuitive to understand.
I would like that you give me some tips, help, guidance on how to improve
the presentation of this result.
Basically, with Pandas, i read a csv file, made up of several columns, among
which I get the colum 'estado_fisico' and ploting in the graphic.

def Condutor_estadofisico():
    fig = plt.figure(figsize=(4, 10))
    df_condutor = pd.read_csv('df_condutor.csv')
    x = df_condutor['estado_fisico'].value_counts().index
    y = df_condutor['estado_fisico'].value_counts().values
    a = plt.barh(x, y, color=colors, alpha=0.9)
    plt.legend(a, x, fontsize=4.8)
    for i, v in enumerate(y):
        plt.text(v + 3, i + .25, str(v), color='blue', fontweight='bold',
fontsize=6.2)
    return fig

<http://matplotlib.1069221.n5.nabble.com/file/t5276/1.png> 
<http://matplotlib.1069221.n5.nabble.com/file/t5276/2.png> 



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From teksondada at gmail.com  Thu Dec  5 23:14:06 2019
From: teksondada at gmail.com (tekson)
Date: Thu, 5 Dec 2019 21:14:06 -0700 (MST)
Subject: [Matplotlib-users] Same widht and height axis in matplotlib for
 every plot
Message-ID: <1575605646452-0.post@n5.nabble.com>

I need same size widht and height in every plot. I already asked this
question in stackoverflow. Please help me;
https://stackoverflow.com/questions/59187959/same-widht-and-height-axis-in-matplotlib-for-every-plot?noredirect=1#comment104614988_59187959



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From for.mail at laposte.net  Sun Dec  8 10:35:04 2019
From: for.mail at laposte.net (Sergi)
Date: Sun, 8 Dec 2019 08:35:04 -0700 (MST)
Subject: [Matplotlib-users] Recursive fonctions (fractal tree)
Message-ID: <1575819304045-0.post@n5.nabble.com>

Hi, I have to create a reccursive function with matplotlib in order to make a
fractal tree. 
That's my fonction at this moment :

import matplotlib.pyplot as plt
from math import *

def Drawn_(P,L,a,c,e):  
    X = L*cos(a) + P[0]
    Y = L*sin(a) + P[1] 
    M=[X,Y]
    plt.axis('equal')
    plt.plot([P[0],X],[P[1],Y],color=c,lw=e)
    return M              


def Tree(P,L,k,a,N,c):
    A=Drawn_(P,L,a+(pi/4),c,1)
    while N>>0:
        N=N-1
        Arbre(A,L*k,k,0,N,'black')
        Arbre(A,L*k,k,(pi/2),N,'green')
    
I had some pictures to show what are the problems.
<http://matplotlib.1069221.n5.nabble.com/file/t5278/1-What_I_have_to_do.jpg> 
<http://matplotlib.1069221.n5.nabble.com/file/t5278/2-The_tree_that_I_have.jpg> 

For the moment it don't work correctly because I can't create the tree with
random angles and I don't know how to solve the problem and create the
correct tree with recursivity..
Can someone help me please ? :) 
I have to restart the fonction or can we had, or change somethings to make
it work ?



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From tcaswell at gmail.com  Mon Dec  9 12:26:15 2019
From: tcaswell at gmail.com (Thomas Caswell)
Date: Mon, 9 Dec 2019 12:26:15 -0500
Subject: [Matplotlib-users] Matplotlib Research Software Engineering Fellow
Message-ID: <CAA48SF8aUR5yP2AFRDYzY1T4U7=DkOMA-fpEKEutJFcuiA4VFA@mail.gmail.com>

Hi folks,

Matplotlib has received a grant from the Chan Zuckerberg Initiative to fund
maintenance!  As part of the grant, we have 1 year of funding for a
Research Software Engineering Fellow to carry out this work. If you are
interested in working on Matplotlib full time, please apply!   See below
for a link to the full job description and application instructions.

The timeline on this is rather short, so applications are due Jan 3.

https://discourse.matplotlib.org/t/now-hiring-matplotlib-research-software-engineering-fellow/20701

Tom and Hannah

-- 
Thomas Caswell
tcaswell at gmail.com
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