Matplotlib Set Position Of Legend I d like to create a colorbar legend for a heatmap such that the labels are in the center of each discrete color Example borrowed from here import matplotlib pyplot as plt import numpy as
Although accepted answer works good but with matplotlib version 2 1 0 it is pretty straight forward to have two scatter plots in one plot without using a reference to Axes import 1 I use both 2d and 3d plot within my notebook How can I switch between matplotlib notebook and matplotlib inline 2 My notebook takes a long time to run 5 minutes Using matplotlib
Matplotlib Set Position Of Legend
Matplotlib Set Position Of Legend
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Also I am starting with matplotlib and for me at least it is easier to understand scripts when objets are explicited NB Be careful your legends may be cutoff while displaying saving To solve matplotlib any plt plot command will now cause a figure window to open and further commands can be run to update the plot Some changes will not draw automatically to
Surprisingly I didn t find a straight forward description on how to draw a circle with matplotlib pyplot please no pylab taking as input center x y and radius r I tried some variants of this import Seaborn is a high level API for matplotlib which takes care of a lot of the manual work seaborn heatmap automatically plots a gradient at the side of the chart etc import
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To make a semi log plot with x scale logarithmic there are two options import matplotlib pyplot as plt fig ax plt subplots ax plot x y ax set xscale log Import matplotlib pyplot as plt import matplotlib as mpl import numpy as np x np linspace 0 20 100 plt plot x np sin x plt show I see the result in a new window Is
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I d like to create a colorbar legend for a heatmap such that the labels are in the center of each discrete color Example borrowed from here import matplotlib pyplot as plt import numpy as

https://stackoverflow.com › questions
Although accepted answer works good but with matplotlib version 2 1 0 it is pretty straight forward to have two scatter plots in one plot without using a reference to Axes import

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