@@ -23,10 +23,10 @@ style sheets take precedence over ``matplotlibrc`` files.
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This project uses the third option and is intended as a collection of usefull
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matplotlibrc style files for scientific plotting.
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- Please feel free to add your own favourite styles to the libary! Start from the empty
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+ Please feel free to add your own favourite styles to the libary! Start from the empty
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template file `` default.mplstyle `` and change the parameters you like.
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- If you are happy with the style, add the file to the `` mplstyles `` package and open
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- a pull request.
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+ If you are happy with the style, add the file to the `` mplstyles `` package and open
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+ a pull request.
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> ** Note** : If you are using PyCharm to edit the `` *.mplstyle `` files, right-click on the file
@@ -51,7 +51,7 @@ with mplstyle_context("figure"):
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...
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````
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- Alternatively, the included styles can be registered and used via the normal
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+ Alternatively, the included styles can be registered and used via the normal
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`` plt.style `` method:
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```` python
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from mplstyles import init_mplstyles
@@ -81,23 +81,23 @@ The rc-files are contained in the ``.../mplstyles/styles/`` directory.
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## Primary styles
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- The main styles are `` plot `` and `` figure `` . The `` plot `` style is intended for plotting
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+ The main styles are `` plot `` and `` figure `` . The `` plot `` style is intended for plotting
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results while working, preparing or creating a pre-print. The `` figure `` style should be
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- used for generating the final figures for publications.
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+ used for generating the final figures for publications.
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## Journal styles
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The journal styles are * additive* and should be used with the primary styles.
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- They define the format specifications for each jornal. The style for a single
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+ They define the format specifications for each jornal. The style for a single
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column figure for the APS fournal, for example, can be used as follows:
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```` python
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from mplstyles import use_mplstyle
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use_mplstyle(" figure" , " aps" )
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...
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````
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- You also can mix in the figure size of 1.5- or double-column figures via the context
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+ You also can mix in the figure size of 1.5- or double-column figures via the context
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manager:
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```` python
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from mplstyles import use_mplstyle, mplstyle_context
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