Unterschiede
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| Beide Seiten, vorherige Überarbeitung Vorherige Überarbeitung Nächste Überarbeitung | Vorherige Überarbeitung | ||
| gf_informatik:daten:processing [2023-05-26 14:27] – hof | gf_informatik:daten:processing [2024-06-10 10:45] (aktuell) – hof | ||
|---|---|---|---|
| Zeile 6: | Zeile 6: | ||
| Wieviel ist viel? 1000? | Wieviel ist viel? 1000? | ||
| + | |||
| #### Aufgabe 1 | #### Aufgabe 1 | ||
| Zeile 73: | Zeile 74: | ||
| * Mit `print(values[1])` wird der Kanton (die zweite Spalte) ausgegeben. | * Mit `print(values[1])` wird der Kanton (die zweite Spalte) ausgegeben. | ||
| * Wieviele Gemeinden gibt es im Kanton Thurgau? Wieviele im Kanton Bern? | * Wieviele Gemeinden gibt es im Kanton Thurgau? Wieviele im Kanton Bern? | ||
| + | |||
| + | <nodisp 1> | ||
| + | ++++Lösung: | ||
| + | <code python> | ||
| + | with open(' | ||
| + | be = 0 | ||
| + | tg = 0 | ||
| + | for line in infile: | ||
| + | tokens = line.split(',' | ||
| + | canton = tokens[1] | ||
| + | if canton == ' | ||
| + | tg = tg + 1 | ||
| + | elif canton == ' | ||
| + | be = be + 1 | ||
| + | print(" | ||
| + | print(" | ||
| + | </ | ||
| + | ++++ | ||
| + | </ | ||
| Zeile 114: | Zeile 134: | ||
| def find_smallest_population(): | def find_smallest_population(): | ||
| with open(' | with open(' | ||
| + | # 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(" | ||
| + | </ | ||
| + | ++++ | ||
| + | </ | ||
| + | |||
| + | <nodisp 2> | ||
| + | ++++Code:| | ||
| + | <code python> | ||
| + | def find_smallest_population(): | ||
| + | with open(' | ||
| + | # Search for the smallest, so start out with a value larger than any expected. | ||
| min_pop = 1000000 | min_pop = 1000000 | ||
| town = None | town = None | ||
| Zeile 119: | Zeile 166: | ||
| cells = line.split(',' | cells = line.split(',' | ||
| try: | try: | ||
| + | # Population is in the third column, and it is an integer. | ||
| population = int(cells[2]) | population = int(cells[2]) | ||
| if population < min_pop: | if population < min_pop: | ||
| + | # We found a town smaller than the currently known smallest. | ||
| min_pop = population | min_pop = population | ||
| town = cells[0] | town = cells[0] | ||
| Zeile 131: | Zeile 180: | ||
| def find_largest_area(): | def find_largest_area(): | ||
| with open(' | with open(' | ||
| + | # We search for the largest, so start with a small value. | ||
| max_area = 0 | max_area = 0 | ||
| town = None | town = None | ||
| Zeile 136: | Zeile 186: | ||
| cells = line.split(',' | cells = line.split(',' | ||
| try: | try: | ||
| + | # Area is in the fourth column, and it is a floating point number. | ||
| area = float(cells[3]) | area = float(cells[3]) | ||
| if area > max_area: | if area > max_area: | ||
| + | # Found a town with larger area than the largest known so far. | ||
| max_area = area | max_area = area | ||
| town = cells[0] | town = cells[0] | ||
hof