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33 | 33 | # | Programming (OOP) | |
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34 | 34 | # +====================================+====================================+
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35 | 35 | # | Users explicitly create and manage | The Matplotlib library implicitly |
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36 |
| -# | all Figure elements. | manages Figure and Axes. | |
| 36 | +# | all plot elements. | manages Figure and Axes. | |
37 | 37 | # +------------------------------------+------------------------------------+
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38 | 38 | # | Useful for repeated code use, | Helpful for quickly graphing data |
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39 | 39 | # | generalization, robust | when using interactive |
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373 | 373 | # Figure can contain multiple Axes, but each Axes is specific to one
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374 | 374 | # Figure.
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375 | 375 | #
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376 |
| -# In a Figure, each Axes contains any number of visual elements. Axes are |
| 376 | +# In a Figure, each Axes contains any number of plot elements. Axes are |
377 | 377 | # configurable for more than one type of visualization of data. From the
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378 | 378 | # `Plotting`_ section above, the Axes in both explicit and implicit strategies
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379 | 379 | # contain multiple types of visualizations of data on a single Axes.
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405 | 405 | # Manipulating Artists
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406 | 406 | # --------------------
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407 | 407 | #
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408 |
| -# With simple plots, Matplotlib automatically generates the basic elements of |
409 |
| -# a graph. For more control over the visual, use Artists and methods. |
| 408 | +# With simple plots, Matplotlib automatically generates the basic plot elements |
| 409 | +# of a graph. For more control over the visual, use Artists and methods. |
410 | 410 | #
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411 | 411 | # Matplotlib generates additional visual elements as Artists in the form of
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412 | 412 | # objects. As Artists, each has respective methods and functions. Explicit and
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