JPyPlotRatio | Multi-panel plotting class for heavy-ion experiments

 by   jaelpark Python Version: Current License: No License

kandi X-RAY | JPyPlotRatio Summary

kandi X-RAY | JPyPlotRatio Summary

JPyPlotRatio is a Python library. JPyPlotRatio has no bugs, it has no vulnerabilities and it has low support. However JPyPlotRatio build file is not available. You can download it from GitHub.

Multipanel plot dimensions. Default (1,1) (one panel). Dimensions of one panel. Relative proportions between the plot panel and ratio panel. Default 0.7. Row indices for which ratio plot won't be shown. Dictionary of y-limits for each row. Dictionary of minimum and maximum y-limits for each row - applied if plot point exceeds these limits. Ignored for a row if rowBounds has a setting for it. Dictionary of x-limits for each column. Dictionary of y-limits for the ratio panels in each row. If True, a dashed line will be drawn to indicate a zero difference line. Difference type "ratio" (a/b) or "diff" (a-b). Plot systematics separately in ratio plot. Draw systematic error patches in legend. Default true. Dictionary of scale factors for the plots in each panel. List of panels that should have their own y-axis scale instead of a shared one. Dictionary of y-limits for each panel included in panelPrivateScale. List of panels ratios that should have their own y-axis instead of a shared one. Dictionary of y-limits for each panel ratio included in panelPrivateScale. Fractional width of the systematic uncertainty patches with relation to the panel width. Default 0.065. str or Dict {colId:str, ...}. xlabel for all panels (str), or dictionary of xlabels for each column. str or Dict {rowN:str, ...}. ylabel for all panels. str or Dict {rowN:str, ...}. ylabel for all panels on the right side. str or Dict {rowN:str, ...}. ylabel for the ratio panels (default "Ratio" or "Diff"). Axis label text size. Default 16. Tick labe size. Default 13. Maximum number of major ticks on the x-axis. Default 6. Multiples of the major ticks. By default not used (None). Apply logarithmic scale to each panel. Draw data points which error bar goes below zero as a upper limit marker. Default false. Dictionary of panel labels. Location for the panel labels in each panel. Default (0.2,0.92). Panel label text size. Default 16. Text alignment for the panel labels, "left", "center", "right" (default). int or Dict {legendId:panelIndex, ...}. Index (indices) of the panel(s) where to pace the legend. Use dictionary if multiple legends is wanted. Tuple (x, y) or Dict {legendId:(x,y), ...}. Legend location(s) in the panel(s). Legend text size. Default 10. Plot curves with plot.Add(...). Input curve should be either as numpy arrays, or ROOT objects. Add automatically converts a TGraphErrors and TH1 object to numpy arrays and plots them. Returns the index for the newly added plot (int), which can be used as a reference for ratio plotting. The following options are available for the plotType parameter. Additional styling may be specified by supplying valid arguments that will be passed on to the respective matplotlib methods.
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            kandi-support Support

              JPyPlotRatio has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              JPyPlotRatio has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of JPyPlotRatio is current.

            kandi-Quality Quality

              JPyPlotRatio has no bugs reported.

            kandi-Security Security

              JPyPlotRatio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              JPyPlotRatio does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              JPyPlotRatio releases are not available. You will need to build from source code and install.
              JPyPlotRatio has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            JPyPlotRatio Key Features

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            JPyPlotRatio Examples and Code Snippets

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            Vulnerabilities

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            Install JPyPlotRatio

            You can download it from GitHub.
            You can use JPyPlotRatio like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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            gh repo clone jaelpark/JPyPlotRatio

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            git@github.com:jaelpark/JPyPlotRatio.git

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