From 701dbce7dca95cd7d03cca74bc0da3e739c581b6 Mon Sep 17 00:00:00 2001 From: Carsten Schmotz Date: Wed, 28 Jun 2023 14:16:44 +0200 Subject: [PATCH] Update exercise4.py --- exercises/exercise4.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/exercises/exercise4.py b/exercises/exercise4.py index 738fe4a4e..49cf1606f 100644 --- a/exercises/exercise4.py +++ b/exercises/exercise4.py @@ -28,9 +28,14 @@ df = df.drop(['Status'], axis=1) #Then, drop all rows with invalid values in Verkehr: -df = df[df['Verkehr'].isin(['FV','RV','nur DPN'])] +#df = df[df['Verkehr'].isin(['FV','RV','nur DPN'])] +#Only use the columns +df = df['Geraet', 'Hersteller','Model','Monat','Temperatur in °C (DWD)','Batterietemperatur in °C (DWD)','Geraet aktiv'] -#>= or > is enough + + + +#Transform data df = df[(df['Temperatur'] * 9/5 +32 )& ((df['Betterietemperatur'] * 9/5 +32 ) ] #Valid "IFOPT" values follow this pattern: