This means that the index that will be returned by argmax will be taken from the last axis. Your data has some shape (19,19,5,80). This means: Axis 0 = 19 elements Axis 1 = 19 elements Axis 2 = 5 elements Axis 3 = 80 elements Now, negative numbers work exactly like in python lists, … Read more
You can use plot or vlines to draw a vertical line, but to draw a vertical line from the bottom to the top of the y axis, axvline is the probably the simplest function to use. Here’s an example: In [80]: import numpy as np In [81]: import matplotlib.pyplot as plt In [82]: np.random.seed(6789) In … Read more
I like the above solutions, but they do have the drawback that you need to keep track of the ranges and means over all your data. This could be cumbersome if you have multiple data sets that will be plotted together. To fix this, I made use of the ax.get_[xyz]lim3d() methods and put the whole … Read more
The usual way to share axes is to create the shared properties at creation. Either fig=plt.figure() ax1 = plt.subplot(211) ax2 = plt.subplot(212, sharex = ax1) or fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True) Sharing the axes after they have been created should therefore not be necessary. However if for any reason, you need to share axes … Read more
Search for the server.xml file and check your <Context> tags, probably there are multiple definitions for the same path. Remove the duplicates and it should work for you. Check out the answer here. Auto-format the xml file (control + shift + f) since the second <Context> tag may be on the same line, but outside … Read more
Not sure if this is what you mean, but try setting las=1. Here’s an example: require(grDevices) tN <- table(Ni <- stats::rpois(100, lambda=5)) r <- barplot(tN, col=rainbow(20), las=1) That represents the style of axis labels. (0=parallel, 1=all horizontal, 2=all perpendicular to axis, 3=all vertical)
Keep in mind, I’m completely biased (PMC Chair of CXF), but my thoughts: From a strictly “can the project do what I need it to do” perspective, both are pretty equivalent. There some “edge case” things that CXF can do that Axis 2 cannot and vice versa. But for 90% of the use cases, either … Read more
You have pylab.ylim: pylab.ylim([0,1000]) Note: The command has to be executed after the plot! Update 2021 Since the use of pylab is now strongly discouraged by matplotlib, you should instead use pyplot: from matplotlib import pyplot as plt plt.ylim(0, 100) #corresponding function for the x-axis plt.xlim(1, 1000)
You can easily add a second legend by adding the line: ax2.legend(loc=0) You’ll get this: But if you want all labels on one legend then you should do something like this: import numpy as np import matplotlib.pyplot as plt from matplotlib import rc rc(‘mathtext’, default=”regular”) time = np.arange(10) temp = np.random.random(10)*30 Swdown = np.random.random(10)*100-10 Rn … Read more