matplotlib set size
plt.figure(figsize=(20,8))how to plot a scatter plot in matplotlib
# Import matplotlib
import matplotlib.pyplot as plt
# Set plot space as inline for inline plots and qt for external plots
%matplotlib inline
# Set the figure size in inches
plt.figure(figsize=(10,6))
plt.scatter(x, y, label = "label_name" )
# Set x and y axes labels
plt.xlabel('X Values')
plt.ylabel('Y Values')
plt.title('Scatter Title')
plt.legend()
plt.show()matplotlib units of scatter size
star = MarkerStyle('*')
bbox = star.get_path().transformed(star.get_transform()).get_extents()
star_unit_width = bbox.width
star_unit_height = bbox.height
plt.scatter(0, -1, marker='s', s=(xscale*desired_data_width/star_unit_width)**2)python scatter size
This can be a somewhat confusing way of defining the size but you are basically specifying the area of the marker. This means, to double the width (or height) of the marker you need to increase s by a factor of 4. [because A = WH => (2W)(2H)=4A]
There is a reason, however, that the size of markers is defined in this way. Because of the scaling of area as the square of width, doubling the width actually appears to increase the size by more than a factor 2 (in fact it increases it by a factor of 4). To see this consider the following two examples and the output they produce.Copyright © 2021 Codeinu
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