Mailman 3 December 2019 - Matplotlib-users

Matplotlib Research Software Engineering Fellow
by Thomas Caswell Dec. 9, 2019

Dec. 9, 2019

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-… Tom and Hannah -- Thomas Caswell tcaswell(a)gmail.com

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Recursive fonctions (fractal tree)
by Sergi Dec. 8, 2019

Dec. 8, 2019

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.j…> 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 ? -- Sent from: http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html

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Same widht and height axis in matplotlib for every plot
by tekson Dec. 6, 2019

Dec. 6, 2019

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

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Plot a graph using matplotlib.pyplot
by vinicius951 Dec. 5, 2019

Dec. 5, 2019

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

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Add and remove points to a scatter plot repeatedly
by regev81 Dec. 3, 2019

Dec. 3, 2019

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

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