Matplotlib Scatter Color Based On Value Ok sorry just to check if I get this right so when I just say loc upper right and give no bbox to anchor specification matplotlib interprets that as the loc with respect to the axes But
Import numpy as np from matplotlib import pyplot as plt from matplotlib import cm from matplotlib colors import Normalize width height 10 10 data np arange width One thing you can do is to set your axis range by yourself by using matplotlib pyplot axis matplotlib pyplot axis from matplotlib import pyplot as plt plt axis 0 10 0 20 0 10 is for x
Matplotlib Scatter Color Based On Value
Matplotlib Scatter Color Based On Value
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I have several values of a function at different x points I want to plot the mean and std in python like the answer of this SO question I know this must be easy using matplotlib I want to plot a graph with one logarithmic axis using matplotlib Sample program import matplotlib pyplot as plt a pow 10 i for i in range 10 exponential fig plt figure
From matplotlib import pyplot as plt plt plot range 10 plt tick params axis x changes apply to the x axis which both both major and minor ticks are affected bottom False ticks along The plt plot or ax plot function will automatically set default x and y limits If you wish to keep those limits and just change the stepsize of the tick marks then you could use ax get xlim to
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Import numpy as np import matplotlib pyplot as plt from matplotlib collections import LineCollection def multiline xs ys c ax None kwargs Plot lines with different 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
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Ok sorry just to check if I get this right so when I just say loc upper right and give no bbox to anchor specification matplotlib interprets that as the loc with respect to the axes But
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Matplotlib Scatter Color Based On Value - The plt plot or ax plot function will automatically set default x and y limits If you wish to keep those limits and just change the stepsize of the tick marks then you could use ax get xlim to
