Exercise 4 Final version

Ozodbek47 · Jan 21, 2024 · a4dffc8 · a4dffc8
1 parent cb99f2b
commit a4dffc8
Showing 1 changed file with 0 additions and 14 deletions.
diff --git a/exercises/exercise4.py b/exercises/exercise4.py
@@ -17,31 +17,17 @@
 df = pd.read_csv(csv_file_name, sep=';', decimal=',', usecols=range(11), names=["Geraet", "Hersteller", "Model", "Monat", "Temperatur in °C (DWD)", "Latitude (WGS84)","Longitude (WGS84)","Verschleierung (m)","Aufenthaltsdauer im Freien (ms)", "Batterietemperatur in °C", "Geraet aktiv"], header=0)
 df.to_csv('data/data0.csv')
 
-# print(1)
-# print(df.head())
-
 selected_columns = ["Geraet", "Hersteller", "Model", "Monat", "Temperatur in °C (DWD)", "Batterietemperatur in °C", "Geraet aktiv"]
 df = df[selected_columns]
 df = df.rename(columns={"Temperatur in °C (DWD)": "Temperatur", "Batterietemperatur in °C": "Batterietemperatur"})
 
-# print(2)
-# print(df.head())
-# df.to_csv('data/data1.csv')
-
 # Transforming the data
 df[["Temperatur", "Batterietemperatur"]] = df[["Temperatur", "Batterietemperatur"]].apply(lambda x: (x * 9/5) + 32)
 
-# df.to_csv('data/data2.csv')
-
 # Validating the data
 df = df[df["Geraet"] > 0]
 df = df[df["Monat"] <= 12]
 
-# print(3)
-# print(df.head())
-
-# df.to_csv('data/data3.csv')
-
 # SQLite
 sqlite_types = {"Geraet": "BIGINT", "Hersteller": "TEXT", "Model": "TEXT", "Monat": "BIGINT", "Temperatur": "FLOAT", "Batterietemperatur": "FLOAT", "Geraet aktiv": "TEXT"}
 db_path = "temperatures.sqlite"