- Import the file 'Datasets/minutes_velocity.csv' into a
**Pandas DataFrame**. - Find the median velocity from this
**DataFrame**(use the function**Series.median( )**). Print the median value - Find the mean velocity (use the function
**Series.mean( )**). Print the mean value - Filter your
**DataFrame**to select all the velocities that fall between the median and mean using the 'and' conditional syntax. - Check your work: find the maximum and minimum velocities in the filtered data frame. Print the maximum and minimum values and compare them to the median and mean.

- write a function that takes latitudes (in degrees) and converts them to colatitudes (in radians)
- write a function, that takes two longitudes and returns the difference
- re-write the function
**great_circle( )**that calls the two other functions and returns the latitudinal separation in degrees. (**Hint:**remember that**NumPy**assumes that the units are in radians)

- Use your new funciton to find the angular difference between where you were born and Pinyon Flat (
**PF_lat = 33.3,PF_lon = -115.7**). - There are roughly 111 km in one degree, how many kilometers is the distance between your birthplace and Pinyon Flat? Print the distance

- set a variable, pi, to the value of
**np.pi** - print the value of pi
- format the value to have four significant digits.
- print out a sentence with the formatted value of $\pi$ in it.
- multiply $\pi$ by 50 and use the exponential form of string formatting to print out 4 significant digits.

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