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Primarily for quick looking at large datasets that cause matplotlib and plotly to struggle (i.e. 10,000 points or more)
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It is possible to zoom in on the plots by dragging the mouse across the plot
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Double clicking in the plot area resets the axis to the auto-scaled extents
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Very little parameter checking is implemented. If there is an error in a parameter the plot will not render
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There are three functions:
- uplot_data: basic plotting, points are connected to each other with a line
- uplot_scatter: same as above except only circles for each data point
- uplot_multixy: handles multiple x,y values
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For a better understanding of the plotting capabilities please go to the javascript source code for uplot
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python wrapper around the javascript plot library for plotting in Jupiter notebooks
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saewoonam/uplot_lib
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python wrapper around the javascript plot library for plotting in Jupiter notebooks
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