Numpy attributes

- print out the value of
**e**using the**np.e**attribute.

- print out the value of
Numpy

- Create a list of numbers ranging from 1931 to 2016
- Read in 'Datasets/rainFall/Avg_Rain.txt' in the Lecture_06 directory into an ndarray using
**NumPy**. These data came from: the Knipling-Bushland US Livestock Insects Research Laboratory, USDA-ARS in Kerrville, Texas. The file contains total annual rainfall. - Plot the annual average rainfall against your list of numbers.
- Label the $x$ and $y$ axes.
- What do you suppose the units of rainfall are?

- Matplotlib.pyplot
- import
**matplotlib.pyplot**as**plt** - create a list of angles called
**thetas_in_radians** - Use your array
**thetas_in_radians**to generate an array of tangents (using the appropriate**NumPy**function (listed in the Lecture). - Plot this array with
**thetas_in_radians**on the X axis and your array of tangents on the y axis. Draw the tangent with a red line. - Try different line styles, different line widths, and colors. (look at the
**matplotlib.pyplot**API link, or use the Python**help( )**function. - Put on axis labels and a legend. Play with the legend location.
- set the y limits to -1 and 1

- import

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