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Less successful test #3: plt.savefig('filename.svg') This also cannot be opened in powerpoint or Google Slides, with the same issue as above. Less successful test #4: plt.savefig('filename.pdf') and then converting to png on the command line: convert -density 300 filename.pdf filename.png.
def h(b): l = [] for i in b: l.append(int(y(i))) return l. rr = np.arange(-5, 15, 2) plt.plot(rr, h(rr)) plt.show() To answer on why your code did not work, when you called the function 'h', you did not pass any parameter, hence this return the function definition or the memory location pointer of the function.
I found that the myfun is called. If I add plt.show() in myfun, it can plot in the correct subplot, but nothing in the other one. And, if plt.show() is added in the end, nothing but two pairs of axis are plotted. I think the problem is that the figure is not transferred to the main function successfully.
So the relationship between the markersize of a line plot and the scatter size argument is the square. In order to produce a scatter marker of the same size as a plot marker of size 10 points you would hence call scatter( .., s=100). import matplotlib.pyplot as plt. fig,ax = plt.subplots()
Joe Kington's excellent answer is already 4 years old, Matplotlib has incrementally changed (in particular, the introduction of the cycler module) and the new major release, Matplotlib 2.0.x, has introduced stylistic differences that are important from the point of view of the colors used by default.
raw_data.shape # (1000,) To plot its histogram, we need to specify the number of bins (Sergey's answer includes a way to calculate the correct number of bins). Let's plot raw_data with 20 bins (which means we have a bar-chart with 20 bars). counts, bin_edges, *_ = plt.hist(raw_data, bins=20)
When I plot the data points for each class, it would look like this: Now, I came up with an equation for an decision boundary to separate both classes and would like to add it to the plot. However, I am not really sure how I can plot this function:
The whisker of the box plot has the following possible definitions: the minimum and maximum of all of the data [1] the lowest datum still within 1.5 IQR of the lower quartile, and the highest datum still within 1.5 IQR of the upper quartile. one standard deviation above and below the mean of the data. the 9th percentile and the 91st percentile.
This lets you plot just one figure with (x,y) coordinates. If you just want to get one graphic, you can use this way. Method 2. ax = plt.subplot() ax.plot(x, y) This lets you plot one or several figure(s) in the same window. As you write it, you will plot just one figure, but you can make something like this:
Yeah, I understand that I can do that, but that won't work for my plot function within my class definition. I guess I can manually look to see if a axes property is set, but I guess I'm confused as to why the plot function takes an axes property if its not to plot to that axes. –