| ... | ... | @@ -91,8 +91,27 @@ Note: If you have two files loaded, the statistics will include some comparison |
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The interactive controls are [provided by matplotlib](https://matplotlib.org/3.2.2/users/navigation_toolbar.html). You can also resize the plot window to change the overall size of the plot. There may be lag after resizing while the new plot renders.
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Note: Some plots require the A file, B file, or both files to be loaded.
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Note: By default, the GUI will create unmapped plots. To create other kinds of plots, see the details on the "settings" tab documentation below.
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Note: Some plots require the A file, B file, or both files to be loaded.
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Available types of plots include:
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* Original A Data - a plot of the File A variable data
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* Original B Data - a plot of the File B variable data
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* Abs. Difference - the absolute value of the difference between your File A and File B data sets
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* Raw Difference - the File A data values minus the File B data values
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* Histogram of A Data - a histogram of the values in your File A variable data
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* Histogram of B Data - a histogram of the values in your File B variable data
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* Comparison Histogram - A histogram of the raw difference between your File A and File B data sets
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* Mismatch Areas - a plot showing the areas of your data that do not match according to your epsilon settings
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* Scatter Plot - a scatter plot of your File A vs File B data
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* Density Scatter Plot - a scatter plot of your File A vs File B data colored by density of the points
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* Hex Plot - a kind of binned scatter plot of your File A vs File B data using hex shaped bins
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Note: Scatter plots are only available for relatively small amounts of data owing to limitations in matplotlib. Scatter plots with larger amounts of data would take a prohibitively long time to render. Density Scatter Plots and Hex Plots are available for somewhat larger data sizes.
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TODO, this page is still in progress |
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\ No newline at end of file |