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Updated link for tick_params and added a bit about categoricals
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AnatomyOfMatplotlib-Part4-Limits_Legends_and_Layouts.ipynb

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"* A Tick Label is the text that is displayed at that tick.\n",
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"* A [`Ticker`](http://matplotlib.org/api/ticker_api.html#module-matplotlib.ticker) automatically determines the ticks for an Axis and formats the tick labels.\n",
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"\n",
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"[`tick_params()`](http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.tick_params) is often used to help configure your tickers."
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"[`tick_params()`](https://matplotlib.org/api/axes_api.html#ticks-and-tick-labels) is often used to help configure your tickers."
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{
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"source": [
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"A commonly-asked question is \"How do I plot non-numerical categories?\"\n",
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" \n",
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"Currently, the easiest way to do this is to \"fake\" the x-values and then change the tick labels to reflect the category.\n",
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"Currently, the most reliable way to do this is to \"fake\" the x-values and then change the tick labels to reflect the category. There are some new approaches that work in newer versions of mpl, but the developers are still working out the details of how it should work. In the meantime, \"faking\" the values is the most reliable.\n",
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"\n",
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"For example:"
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]

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