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--- gf_informatik:daten:processing [2023-05-29 15:58] – < hof
+++ gf_informatik:daten:processing [2024-06-10 10:45] (aktuell) – hof
@@ Zeile 6: / Zeile 6: @@
 Wieviel ist viel? 1000?
 #### Aufgabe 1
@@ Zeile 73: / Zeile 74: @@
   * Mit `print(values[1])` wird der Kanton (die zweite Spalte) ausgegeben.
   * Wieviele Gemeinden gibt es im Kanton Thurgau? Wieviele im Kanton Bern?
+<nodisp 1>
+++++Lösung:|
+<code python>
+with open('gemeinden.csv', 'r') as infile:
+    be = 0
+    tg = 0
+    for line in infile:
+        tokens = line.split(',')
+        canton = tokens[1]
+        if canton == 'TG':
+            tg = tg + 1
+        elif canton == 'BE':
+            be = be + 1
+    print("Bern", be)
+    print("Thurgau", tg)
+</code>
+++++
+</nodisp>
@@ Zeile 95: / Zeile 115: @@
    * welche Spalten (Indices) gehören zu diesen Werten?
    * verwendest du `int()` oder `float()`?
 #### Aufgabe 6
@@ Zeile 107: / Zeile 128: @@
   * Einwohner: $8670125$
 ++++
+<nodisp 2>
+++++Code:|
+<code python>
+def find_smallest_population():
+    with open('gemeinden.csv') as towns:
+        # Search for the smallest, so start out with a value larger than any expected.
+        min_pop = 1000000
+        town = None
+        for line in towns:
+            cells = line.split(',')
+            try:
+                # Population is in the third column, and it is an integer.
+                population = int(cells[2])
+                if population < min_pop:
+                    # We found a town smaller than the currently known smallest.
+                    min_pop = population
+                    town = cells[0]
+            except ValueError:
+                pass
+        return town, min_pop
+print("Smallest town: ", find_smallest_population())
+</code>
+++++
+</nodisp>
 <nodisp 2>