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A [wind rose](https://en.wikipedia.org/wiki/Wind_rose) is a graphic tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location. It can also be used to describe air quality pollution sources. The wind rose tool uses Matplotlib as a backend. Data can be passed to the package using Numpy arrays or a Pandas DataFrame.
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"This example use randoms values for wind speed and direction(ws and wdnotebooks/windrose_sample_poitiers_csv.ipynb\n",
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"variables). In situation, these variables are loaded with reals values\n",
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"(1-D array), from a database or directly from a text file.\n",
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"See [this notebook](https://github.com/python-windrose/windrose/blob/master/notebooks/windrose_sample_poitiers_csv.ipynb) for an example of real data."
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"See [this notebook](https://github.com/python-windrose/windrose/blob/main/notebooks/windrose_sample_poitiers_csv.ipynb) for an example of real data."
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"Instead of using object oriented approach like previously shown, some\n",
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"\"shortcut\" functions have been defined: `wrbox`, `wrbar`,\n",
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"`wrcontour`, `wrcontourf`, `wrpdf`. See [unit tests](https://github.com/python-windrose/windrose/blob/master/tests/test_windrose.py)."
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"`wrcontour`, `wrcontourf`, `wrpdf`. See [unit tests](https://github.com/python-windrose/windrose/blob/main/tests/test_windrose.py)."
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