import pandas as $pd$

import numpy as $np$

def monthly$\_$airport$\_$delays$($flights$\_$df$)$:

flights$\_$df $[$ 'MONTH'$]=$pd$.$to$\_$datetime$($flights$\_$df $[\text{'}$SCHEDULED$\_$DEPARTURE'$]).$dt$.$strftime$(\text{'}\%$B$\text{'})$

flights$\_$df $[\text{'}$DELAYED$\text{'}]=$ np$.$where$($flights$\_$df $[\text{'}$DEPARTURE$\_$DELAY'$]>0,1,0)$

monthly$\_$delays$=$flights$\_$df$.$groupby $([\text{'}$ORIGIN$\_$AIRPORT', 'MONTH'$])[\text{'}$DELAYED$\text{'}].$mean$().$reset$\_$index$()$

monthly$\_$delays$\_$pivot $=$ monthly$\_$delays.pivot $($index$=$'MONTH', columns$=\text{'}$ ORIGIN$\_$AIRPORT', values$=$'DELAYED'$)$

return monthly$\_$delays$\_$pivot

monthly$\_$airport$\_$delays$\_$df $=$ monthly$\_$airport$\_$delays$($flights$\_$df$\_$raw.copy$())$

print$($monthly$\_$airport$\_$delays$\_$df$)$

ORIGIN$\_$AIRPORT

ATL

BOS

BWI

CLT

DEN

DFW

MONTH

January

$0\mathrm{.}374373,0\mathrm{.}362486,0\mathrm{.}486367,0\mathrm{.}369094$

$0\mathrm{.}455433,0\mathrm{.}402733$

ORIGIN$\_$AIRPORT

DTW

EWR

IAH

JFK

LAS

LAX $1$

MONTH

January

$0\mathrm{.}333843,0\mathrm{.}439443,0\mathrm{.}418491$

$0\mathrm{.}376619$

$0\mathrm{.}428222$

$0\mathrm{.}420983$

ORIGIN$\_$AIRPORT

LGA

MCO

MSP

ORD

PHX

SEA

MONTH

January

$0\mathrm{.}365594,0\mathrm{.}397218,0\mathrm{.}314199,0\mathrm{.}425718,0\mathrm{.}408405,0\mathrm{.}368633$

ORIGIN$\_$AIRPORT

SF$0$

SLC

MONTH

January

$0\mathrm{.}396972$

$0\mathrm{.}281936$

monthly$\_$airport$\_$delays$\_$df $=$ monthly$\_$airport$\_$delays$($flights$\_$df$\_$raw.copy$())$

AssertionError: the shape of the dataframe supplied is incorrect expecting $(11,5)$