Matplotlib Legend Example 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 np from
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 matplotlib pyplot as plt plt scatter x y c b marker x label 1 plt scatter x y c r marker s label 1 plt legend loc upper left plt show 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 notebook will render images after all cell being completed rather than after a cell is completed
Matplotlib Legend Example
Matplotlib Legend Example
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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 this issue use the method axes set position left bottom width length to shrink the subplot relatively to the figure size and make the legends 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 force an update use plt draw matplotlib notebook will lead to interactive plots embedded within the notebook you can zoom and resize the figure
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 matplotlib pyplot as plt circle plt Circle 0 0 2 here must be something like circle plot or 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 numpy as np import seaborn as sns import matplotlib pylab as plt uniform data np random rand 10 12 ax sns heatmap uniform data linewidth 0 5 plt show
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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 there any way to see the result graphs in the Visual Studio Code itself directly Thank you
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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 np from
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 matplotlib pyplot as plt plt scatter x y c b marker x label 1 plt scatter x y c r marker s label 1 plt legend loc upper left plt show
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Matplotlib Legend Example - 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 force an update use plt draw matplotlib notebook will lead to interactive plots embedded within the notebook you can zoom and resize the figure
