matplotlib

问题 I am plotting a 2D view of a spacecraft orbit using matplotlib. On this orbit, I identify and mark certain events, and then list these events and the corresponding dates in a legend. Before saving the figure to a file, I autozoom on my orbit plot, which causes the legend to be printed directly on top of my plot. What I would like to do is, after autoscaling, somehow find out the width of my legend, and then expand my xaxis to "make room" for the legend on the right side of the plot.

问题 I need to plot a f(z) function on 3D matplotlib, but on a local x axis, defined by two dots and fill in between them, to stay as shown in the image: I have these two points that define the local axis x, 20 values ​​between them and the corresponding 20 values ​​of f(z), but I can not figure out how to plot. Can someone help me? valuesx = np.arange(0.0, 5, 5/20) # local axis values ​​x self.listax.append(valuesx) for l in valuesx: fy= 2*x**2-4 #equation fyx = eval(fy, {'x': l}) self.listay

问题 I am having trouble doing something that seems to me straightforward. My data is: ROE_SP500_Q2_2018_quantile.to_json() '{"index":{"0":0.0,"1":0.05,"2":0.1,"3":0.15,"4":0.2,"5":0.25,"6":0.3,"7":0.35,"8":0.4,"9":0.45,"10":0.5,"11":0.55,"12":0.6,"13":0.65,"14":0.7,"15":0.75,"16":0.8,"17":0.85,"18":0.9,"19":0.95},"ROE_Quantiles":{"0":-0.8931,"1":-0.0393,"2":0.00569,"3":0.03956,"4":0.05826,"5":0.075825,"6":0.09077,"7":0.10551,"8":0.12044,"9":0.14033,"10":0.15355,"11":0.17335,"12":0.1878,"13":0

问题 I am new to python coding and i am writing a code to calculate the sum of a series, i started by writing a function where the input is the number of iterations of the sum, but when i compile it gives me the error in the line under def G(i) : only length-1 arrays can be converted to Python scalars Can you help me please import matplotlib.pyplot as plt import numpy as np import scipy.special as sp import pylab as pylab def G(i): return (sum(((-1*(2*l+1))/(4*np.pi*(l**2+l)))*sp.legendre(l)(0.5)

问题 I am writing a routine where I can append a set of datafiles. The first part of the code imports a single datafile and displays it using matplotlib. I can then use a slider to define a specific x range (i.e. to exclude noisy or irrelevant parts). The second part of the code involves an edit routine where I edit the range of all the datafiles in the specific folder based on this newly set x range (i.e. removing all of the rows). The first part of the code is not a problem for me and results in

问题 The objective is to insert a sub_figure in a simple plot as follows: import numpy as np from matplotlib import pyplot as plt X = np.linspace(-6, 6, 1024) Y = np.sinc(X) X_detail = np.linspace(-3, 3, 1024) Y_detail = np.sinc(X_detail) plt.plot(X, Y, c = 'k') sub_axes = plt.axes([0.6,0.6,0.25,0.25]) sub_axes.plot(X_detail, Y_detail, c = 'k') plt.setp(sub_axes) plt.show() The code above gives the following output: The matplotlib documentation says the argument the matplotlib.pyplot.axes()

问题 I have been busting my head over this for a few hours now but I cant nail down the reason why this error occurs. I am trying to run a simple python script in my apache2 server- #!/usr/bin/python3.5 import cgi import cgitb cgitb.enable() import sys sys.path.insert(0, "/home/aswin/anaconda3/lib/python3.6/site-packages") sys.path.insert(0,"/usr/local/lib/python3.5/dist-packages") # HEADERS print("Content-Type:text/html; charset=UTF-8") print() # blank line required at end of headers # CONTENT

问题 Is there a way to copy an axis (subplot) to a new figure? This is straightforward in other languages, but I understand that not even a deep copy would work with python's matplotlib. E.g. if I have a figure with 6 subplots, how can I copy 2 of those subplots to a new figure, with all the settings? Labels, tickmarks, legend, grid, etc. I have found this answer , which is actually 2 in 1: the first no longer works (deprecated syntax), while I couldn't get the second to work in my case. I manage

问题 How to overlay a custom image on top of a cartopy map? If I do ax = plt.axes(projection=map_quest_aerial.crs) ax.set_extent([lon_0, lon_1, lat_0, lat_1]) plt.imshow('myimage.png', extent=(x0,x1,y0,y1)) plt.show() my image shows up correctly in the axes. But, if I try to add the background map image, my image no longer appears: ax = plt.axes(projection=map_quest_aerial.crs) ax.set_extent([lon_0, lon_1, lat_0, lat_1]) ax.add_image(map_quest_aerial, 10) plt.imshow('myimage.png', extent=(x0,x1,y0

问题 Faced with the fact that MatPlotlib when using self.frame.canvas.draw() I got only 12 FPS on a simple chart. I found a good article about acceleration speed MatPlotlib: https://bastibe.de/2013-05-30-speeding-up-matplotlib.html But part of the examples is working code, but the example with the fastest code (500 FPS) is not working . Attempts to read the documentation MatPlotlib have not yet led to success in understanding where the error is in the code: «AttributeError: draw_artist can only be