You can do annotation by reading in a PDF page, drawing it onto a new PDF graphics context, then drawing extra content onto that graphic context. Here is some code that adds the words ‘Example annotation’ at position (100.0,100.0) to an existing PDF. The method getPDFFileName returns the path of the original PD. getTempPDFFileName returns … Read more
In the last example in your code you could have used headwidth, frac and width to customize the arrow, the result is arrow0 shown below. For highly customized arrows you can used arbitrary polygons. Below you can see the code I used to produce the figures. To add more polygons you have to edit polygons … Read more
I just wanted to post here another solution, a small library I wrote to implement this kind of things: https://github.com/Phlya/adjustText An example of the process can be seen here: Here is the example image: import matplotlib.pyplot as plt from adjustText import adjust_text import numpy as np together = [(0, 1.0, 0.4), (25, 1.0127692669427917, 0.41), (50, … Read more
I’m not aware of any plotting method which takes arrays or lists but you could use annotate() while iterating over the values in n. import matplotlib.pyplot as plt y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199] z = [0.15, 0.3, 0.45, 0.6, 0.75] n = [58, 651, 393, 203, 123] fig, ax = plt.subplots() ax.scatter(z, y) … Read more
How about print (x, y) at once. from matplotlib import pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) A = -0.75, -0.25, 0, 0.25, 0.5, 0.75, 1.0 B = 0.73, 0.97, 1.0, 0.97, 0.88, 0.73, 0.54 ax.plot(A,B) for xy in zip(A, B): # <– ax.annotate(‘(%s, %s)’ % xy, xy=xy, textcoords=”data”) # <– ax.grid() plt.show()
I just wanted to post here another solution, a small library I wrote to implement this kind of things: https://github.com/Phlya/adjustText An example of the process can be seen here: Here is the example image: import matplotlib.pyplot as plt from adjustText import adjust_text import numpy as np together = [(0, 1.0, 0.4), (25, 1.0127692669427917, 0.41), (50, … Read more
I’m not aware of any plotting method which takes arrays or lists but you could use annotate() while iterating over the values in n. import matplotlib.pyplot as plt y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199] z = [0.15, 0.3, 0.45, 0.6, 0.75] n = [58, 651, 393, 203, 123] fig, ax = plt.subplots() ax.scatter(z, y) … Read more