Matplotlib Different Line Styles

Matplotlib Different Line Styles If you are a control freak like me you may want to explicitly set all your font sizes import matplotlib pyplot as plt SMALL SIZE 8 MEDIUM SIZE 10 BIGGER SIZE 12 plt rc font

Matplotlib pyplot plot and matplotlib axes Axes plot plots y versus x as lines and or markers ax plot 105 200 attempts to draw a line but two points are required for a line plt plot 105 I m having issues with redrawing the figure here I allow the user to specify the units in the time scale x axis and then I recalculate and call this function plots

Matplotlib Different Line Styles

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This should work Your code works for me like for Tam s and Manoj Govindan It looks like you could try to update Matplotlib If you can t update Matplotlib for instance if you have 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

The above was not remotely what i wanted and it stems from my unfamiliarity with Pandas MatplotLib etc looking at some documentation though to me it looks like matplotlib is not even 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

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In matplotlib a color map isn t a list but it contains the list of its colors as colormap colors And the module matplotlib colors provides a function ListedColormap to 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

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If you are a control freak like me you may want to explicitly set all your font sizes import matplotlib pyplot as plt SMALL SIZE 8 MEDIUM SIZE 10 BIGGER SIZE 12 plt rc font

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Matplotlib pyplot plot and matplotlib axes Axes plot plots y versus x as lines and or markers ax plot 105 200 attempts to draw a line but two points are required for a line plt plot 105

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