Computing percentiles
In this exercise, you will compute the percentiles of petal length of Iris versicolor.
This exercise is part of the course
Statistical Thinking in Python (Part 1)
Exercise instructions
- Create
percentiles
, a NumPy array of percentiles you want to compute. These are the 2.5th, 25th, 50th, 75th, and 97.5th. You can do so by creating a list containing these ints/floats and convert the list to a NumPy array usingnp.array()
. For example,np.array([30, 50])
would create an array consisting of the 30th and 50th percentiles. - Use
np.percentile()
to compute the percentiles of the petal lengths from the Iris versicolor samples. The variableversicolor_petal_length
is in your namespace. - Print the percentiles.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Specify array of percentiles: percentiles
# Compute percentiles: ptiles_vers
# Print the result