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Changed language for plot elements plus rebase
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doc/devel/style_guide.rst

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@@ -31,7 +31,7 @@ not interchangeable.
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| | for programming. | - 11 Figures | - 11 figures |
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+------------------+--------------------------+--------------+--------------+
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| Axes_ | Subplots within Figure. | - One Axes | - One axes |
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| | Contains Figure elements | - Four Axes | - Four Axeses|
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| | Contains plot elements | - Four Axes | - Four Axeses|
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| | and is responsible for | - 32 Axes | - 32 Axii |
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| | plotting and configuring | | |
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| | additional details. | | |
@@ -116,8 +116,8 @@ related to warning prompts.
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Sentence structure
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^^^^^^^^^^^^^^^^^^
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Write with short sentences using Subject-Verb-Object order regularly. Limit
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how frequently coordinating conjunctions appear in sentences. Avoid pronoun
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references and subordinating conjunctive phrases.
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coordinating conjunctions in sentences. Avoid pronoun references and
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subordinating conjunctive phrases.
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+------------------------------------+------------------------------------+
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| Correct | Incorrect |

tutorials/introductory/getting_started.py

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@@ -33,7 +33,7 @@
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# | Programming (OOP) | |
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# +====================================+====================================+
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# | Users explicitly create and manage | The Matplotlib library implicitly |
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# | all Figure elements. | manages Figure and Axes. |
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# | all plot elements. | manages Figure and Axes. |
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# +------------------------------------+------------------------------------+
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# | Useful for repeated code use, | Helpful for quickly graphing data |
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# | generalization, robust | when using interactive |
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# Figure can contain multiple Axes, but each Axes is specific to one
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# Figure.
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#
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# In a Figure, each Axes contains any number of visual elements. Axes are
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# In a Figure, each Axes contains any number of plot elements. Axes are
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# configurable for more than one type of visualization of data. From the
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# `Plotting`_ section above, the Axes in both explicit and implicit strategies
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# contain multiple types of visualizations of data on a single Axes.
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# Manipulating Artists
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# --------------------
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#
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# With simple plots, Matplotlib automatically generates the basic elements of
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# a graph. For more control over the visual, use Artists and methods.
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# With simple plots, Matplotlib automatically generates the basic plot elements
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# of a graph. For more control over the visual, use Artists and methods.
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#
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# Matplotlib generates additional visual elements as Artists in the form of
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# objects. As Artists, each has respective methods and functions. Explicit and

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