matplotlib

问题 When taking the log of a specific column within a numpy array, i.e., logSFROIIdC = np.log(data_dC[:, 9]) the compiler returns the error: -c:13: RuntimeWarning: divide by zero encountered in log. Now, I know why this happens, i.e., log(-1) = Math Error. However, I want to be able to call something or write some code which then skips any value in the array which would cause this error, then ignoring that row altogether. Allowing that data column to be usable again. I have tried various methods

问题 I'm struggling with a rather simple task. I have a vector of floats to which I would like to fit a Gaussian mixture model with two Gaussian kernels: from sklearn.mixture import GMM gmm = GMM(n_components=2) gmm.fit(values) # values is numpy vector of floats I would now like to plot the probability density function for the mixture model I've created, but I can't seem to find any documentation on how to do this. How should I best proceed? Edit: Here is the vector of data I'm fitting. And below

问题 If I make a tree using networkx and draw it, the nodes overlap. Is there a way to draw it so there is no overlap? import matplotlib.pyplot as plt import networkx as nx T = nx.generators.balanced_tree(2, 5) nx.draw(T) plt.show() 回答1: I am no expert in this, but here is code that uses the pydot library and its graph_viz dependency. These libraries come with Anaconda Python but are not installed by default, so first do this from the command prompt: conda install pydot Then here is code adapted

问题 If I make a tree using networkx and draw it, the nodes overlap. Is there a way to draw it so there is no overlap? import matplotlib.pyplot as plt import networkx as nx T = nx.generators.balanced_tree(2, 5) nx.draw(T) plt.show() 回答1: I am no expert in this, but here is code that uses the pydot library and its graph_viz dependency. These libraries come with Anaconda Python but are not installed by default, so first do this from the command prompt: conda install pydot Then here is code adapted

问题 This is a question I asked several months ago and am still struggling to come to a solution. My code gives me a basemap and a contour plot side by side (but printing to file only gives the contour plot), but I want them superimposed. The best solution would the one here https://gist.github.com/oblakeobjet/7546272 but this does not show how to introduce the data, and it is difficult when you are learning from scratch online. Without tiring very kind people, I hope the solution is easy as

问题 This is a question I asked several months ago and am still struggling to come to a solution. My code gives me a basemap and a contour plot side by side (but printing to file only gives the contour plot), but I want them superimposed. The best solution would the one here https://gist.github.com/oblakeobjet/7546272 but this does not show how to introduce the data, and it is difficult when you are learning from scratch online. Without tiring very kind people, I hope the solution is easy as

问题 This is a question I asked several months ago and am still struggling to come to a solution. My code gives me a basemap and a contour plot side by side (but printing to file only gives the contour plot), but I want them superimposed. The best solution would the one here https://gist.github.com/oblakeobjet/7546272 but this does not show how to introduce the data, and it is difficult when you are learning from scratch online. Without tiring very kind people, I hope the solution is easy as

问题 I am having more then 40 items to show in my chart. I have only 10 colours that repeatedly are shown on the chart. How can I generate more colors. plt.pie(f,labels=labels,autopct='%1.1f%%', startangle=90,shadow=True) I should add "color=colors" where colors is generated infinitely ? 回答1: You need colors argument, beside that you can use some color maps from cm . >>> import matplotlib.pyplot as plt >>> from matplotlib import cm >>> import numpy as np >>> a=np.random.random(40) >>> cs=cm.Set1

问题 I am having more then 40 items to show in my chart. I have only 10 colours that repeatedly are shown on the chart. How can I generate more colors. plt.pie(f,labels=labels,autopct='%1.1f%%', startangle=90,shadow=True) I should add "color=colors" where colors is generated infinitely ? 回答1: You need colors argument, beside that you can use some color maps from cm . >>> import matplotlib.pyplot as plt >>> from matplotlib import cm >>> import numpy as np >>> a=np.random.random(40) >>> cs=cm.Set1

问题 I am having more then 40 items to show in my chart. I have only 10 colours that repeatedly are shown on the chart. How can I generate more colors. plt.pie(f,labels=labels,autopct='%1.1f%%', startangle=90,shadow=True) I should add "color=colors" where colors is generated infinitely ? 回答1: You need colors argument, beside that you can use some color maps from cm . >>> import matplotlib.pyplot as plt >>> from matplotlib import cm >>> import numpy as np >>> a=np.random.random(40) >>> cs=cm.Set1