Matplotlib Legend Location Coordinates I just finished writing code to make a plot using pylab in Python and now I would like to superimpose a grid of 10x10 onto the scatter plot How do I do that My current code is the
It seems that the set xticks is not working in log scale from matplotlib import pyplot as plt fig1 ax1 plt subplots ax1 plot 10 100 1000 1 2 3 ax1 set xscale log I d like to plot a single point on my graph but it seems like they all need to plot as either a list or equation I need to plot like ax plot x y and a dot will be appeared at my x y coordinate
Matplotlib Legend Location Coordinates
Matplotlib Legend Location Coordinates
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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 70 When I try to run this example 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
Thanks I ve edited it But maybe you re right and I m just misunderstanding something with how matplotlib places these legends in general do you know which corner of the legend is placed I am new to Python and I am learning matplotlib I am following the video tutorial recommended in the official User Manual of matplotlib Plotting with matplotlib by Mike Muller
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I need help with setting the limits of y axis on matplotlib Here is the code that I tried unsuccessfully import matplotlib pyplot as plt plt figure 1 figsize 8 5 11 plt suptitle plot tit How do I create a plot where the scales of x axis and y axis are the same This equal ratio should be maintained even if I change the window size Currently my graph scales together with the
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I just finished writing code to make a plot using pylab in Python and now I would like to superimpose a grid of 10x10 onto the scatter plot How do I do that My current code is the

https://stackoverflow.com › questions
It seems that the set xticks is not working in log scale from matplotlib import pyplot as plt fig1 ax1 plt subplots ax1 plot 10 100 1000 1 2 3 ax1 set xscale log

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