All problems
Forecast Fan Chart Quantiles
Problem
Build fan chart quantile levels from a forecast distribution: for each z in z_list return mean + z * sigma.
Return an empty list when z_list is empty.
Hint
Each quantile is a point on the normal forecast distribution.
Test cases
case 1
in: [0,1,[-1.96,0,1.96]]
expected: [-1.96,0,1.96]
case 2
in: [10,2,[-2,2]]
expected: [6,14]
case 3
in: [5,0,[-1,1]]
expected: [5,5]
case 4
in: [0,1.5,[]]
expected: []
Starter codePython
def fan_chart_quantiles(mean, sigma, z_list):
# Your code here
pass4 test cases · run your code against them in the editor