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156 | 156 | # other functions. The `Pie Chart Examples`_ section note contains more |
157 | 157 | # information about the purpose of this module. |
158 | 158 | # |
159 | | -# |
| 159 | +# |
160 | 160 | # |
161 | 161 | # Two Approaches for Creating Graphs |
162 | 162 | # ---------------------------------- |
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230 | 230 | # Explicit: Object Oriented Programming (OOP) |
231 | 231 | # -------------------------------------------- |
232 | 232 | # |
233 | | -# Explicit programming for Matplotlib involves calling the function |
| 233 | +# Explicit programming for Matplotlib involves calling the function |
234 | 234 | # `pyploy.subplots` in the ``pyplot`` module once. This returns a group of an |
235 | 235 | # explicit Figure and Axes to be unpacked as part of variable assignment. More |
236 | 236 | # than one Axes is configurable; however, each Axes only corresponds to a |
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376 | 376 | # In a Figure, each Axes contains any number of visual elements. Axes are |
377 | 377 | # configurable for more than one type of visualization of data. From the |
378 | 378 | # `Plotting`_ section above, the Axes in both explicit and implicit strategies |
379 | | -# contain multiple types of visualizations of data on a single Axes. |
| 379 | +# contain multiple types of visualizations of data on a single Axes. |
380 | 380 |
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381 | 381 | # Each of these types are specific to the Axes they are in. In the example, the |
382 | 382 | # two plots each have one Axes. These Axes each have multiple plot lines. The |
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