matplotlib

问题 I need some help for my current code. I want to create a window by tkinter and show a plot in a canvas I created by matplotlib before. This point I reached yet. My problem is that I want to clear this canvas by hitting a button. To clear a canvas I suppose to initialize this before I can fill it with the plot. So my question is: How can I fill a plot in a created canvas? Below you can find a small code that shows my state of arts. from matplotlib.figure import Figure from matplotlib.backends

问题 Very simply, I'm reasonably new to coding, and I'm going through another person's code to understand what it is doing as I have to use it for data analysis but I notice that they do the following: import matplotlib.pyplot as plt . . . import matplotlib as mpl import numpy as np . . import matplotlib.ticker I thought that " import matplotlib as mpl " would import all modules contained in matplotlib and therefore there need to separately import the module " ticker " from matplotlib after this?

问题 Searching easily reveals how to plot multiple charts on one figure, whether using the same plotting axes, a second y axis or subplots. Much harder to uncover is how to overlay one figure onto another, something like this: That image was prepared using a bitmap editor to overlay the images. I have no difficulty creating the individual plots, but cannot figure out how to combine them. I expect a single line of code will suffice, but what is it? Here is how I imagine it: bigFig = plt.figure(1,

问题 I have done tedious amounts of searching on the internet and it seems that I have not been able to figure out how to ask the right question to get the answer for what I want to do. I am trying to create a scatterplot with P/E ratio on the y-axis and Dividend Yield on the x-axis. I put the data into a CSV file and then imported each column into Python as individual lists. Here is how my scatterplot turns out below. I am confused why the x- and y- axes are not sorted numerically. I think I have

问题 I have done tedious amounts of searching on the internet and it seems that I have not been able to figure out how to ask the right question to get the answer for what I want to do. I am trying to create a scatterplot with P/E ratio on the y-axis and Dividend Yield on the x-axis. I put the data into a CSV file and then imported each column into Python as individual lists. Here is how my scatterplot turns out below. I am confused why the x- and y- axes are not sorted numerically. I think I have

问题 I have an interface that I am writing using tkinter. Inside that interface, I have a matplotlib plot. In the background, I have zmq connecting to a server to get data. I am using python's multiprocessing module with a Queue sharing data and a Process running for all of the zmq communication. In the GUI, I can set up a button to update the plot with the following function: def addData(self): if not self.data.empty(): print "Have Data!" self.hist.addQueue(self.data) self.hist.updatePlot() else:

问题 I am fairly new to python and a real beginner to tkinter and matplotlib. I have the following code which essentially is a testbed for what I eventually want to do. #!/usr/bin/env python import numpy as np from matplotlib import pyplot as plt import time top = 100 plt.ion () # set plot to animated xdata = [] c = 0 for a in range(0,top): xdata.append(a) c+=1 ydata = [ 0 ] * top * 10 ax1 = plt.axes () c = 0 myfile = open("rdata.txt", "r") for myline in myfile: q = myline ydata[c] = q c+=1 c = 0

问题 I am plotting multiple heatmaps together and don't want them to crowed the space with their axes' labels. I tried to use plt.tight_layout() and it is throw some errors at me. This is my result without plt.tight_layout(): heatmaps without plt.tight_layout() How can I plot these heatmaps together without them overlapping/overcrowding? What do these plt.tight_layout() errors mean? This is the error I get: Traceback (most recent call last): File "C:/Users/mbsta/Desktop/OOL_Research/heatmaptrying

问题 I am plotting multiple heatmaps together and don't want them to crowed the space with their axes' labels. I tried to use plt.tight_layout() and it is throw some errors at me. This is my result without plt.tight_layout(): heatmaps without plt.tight_layout() How can I plot these heatmaps together without them overlapping/overcrowding? What do these plt.tight_layout() errors mean? This is the error I get: Traceback (most recent call last): File "C:/Users/mbsta/Desktop/OOL_Research/heatmaptrying

问题 Let's consider the following example to plot some y values for given x values. import matplotlib.pyplot as pyplot if __name__ == "__main__": x = [1000000000, 2000000000, 4000000000, 8000000000] y = [0.342, 0.543, 0.874, 1.324] pyplot.bar(x, y) pyplot.savefig("test1.png", format="png") pyplot.close() pyplot.bar([str(int(x_value / 1000000000)) for x_value in x], y) pyplot.savefig("test2.png", format="png") pyplot.close() My goal is to have equally-spaced x-ticks for all x values (i.e., not