Homework solutions

podstawy/podstawy.ipynb

@@ -2494,7 +2494,7 @@
      "evalue": "invalid syntax (250649810.py, line 1)",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;36m  File \u001b[0;32m\"/tmp/ipykernel_3661/250649810.py\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    Przykłady:\u001b[0m\n\u001b[0m              ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+      "\u001B[0;36m  File \u001B[0;32m\"/tmp/ipykernel_3661/250649810.py\"\u001B[0;36m, line \u001B[0;32m1\u001B[0m\n\u001B[0;31m    Przykłady:\u001B[0m\n\u001B[0m              ^\u001B[0m\n\u001B[0;31mSyntaxError\u001B[0m\u001B[0;31m:\u001B[0m invalid syntax\n"
      ]
     }
    ],

zadanie_domowe/common_chars.py

@@ -9,10 +9,16 @@
 """
 
 
+def get_unique_chars(string_to_process):
+    return set(''.join(string_to_process.split()))
+
+
 def common_chars(string1, string2):
-    pass
+    return get_unique_chars(string1).intersection(get_unique_chars(string2))
 
 
 input1 = "this is a string"
 input2 = "ala ma kota"
 output = ['a', 't']
+
+print(common_chars(input1, input2))

zadanie_domowe/dog_data_task.py

@@ -1,15 +1,13 @@
-
 import csv
 from pathlib import Path
+import re
+import pandas as pd
+import statistics as st
 
 with open(Path(__file__).parent / './dogs-data.csv', encoding='utf-8') as data_file:
     dog_data = csv.DictReader(data_file)
     dog_data = list(dog_data)
 
-print(dog_data[0])
-
-
-
 """
 Zadanie 1
 
@@ -35,3 +33,27 @@
 
 """
 
+# a
+breeds = sorted(set(map(lambda entry: re.sub(r'[^A-Za-z ]+', '', entry['Breed']), dog_data)))
+
+# b
+df = pd.DataFrame(dog_data)
+the_most_popular_breed = df.groupby('OwnerAge')['Breed'].apply(list).to_dict()
+
+for k, v in the_most_popular_breed.items():
+    the_most_popular_breed[k] = st.mode(v)
+
+# c
+dogs_ages = list(map(lambda entry: int(entry['DogAge']), dog_data))
+
+mode = st.mode(dogs_ages)
+mean = st.mean(dogs_ages)
+var = st.variance(dogs_ages)
+
+# d
+terriers = df.groupby('Breed')['DogAge'].count().to_dict()
+terriers = dict(filter(lambda entry: 'terrier' in entry[0].lower(), terriers.items()))
+
+with open(Path(__file__).parent / './terriers.csv', 'w', newline='') as f:
+    w = csv.writer(f)
+    w.writerows(terriers.items())

zadanie_domowe/obwod.py

@@ -6,7 +6,14 @@
 Przykład:
 obwod([(0,0), (0,1), (1,1), (1,0)]) == 4
 """
+import math
 
 
 def obwod(points):
-    pass
+    perimeter = 0
+    for i, point in enumerate(points):
+        perimeter += math.dist(point, points[(i + 1) % len(points)])
+    return perimeter
+
+
+print(obwod([(0, 0), (0, 1), (1, 1), (1, 0)]))

zadanie_domowe/terriers.csv

@@ -0,0 +1,41 @@
+Airedale Terrier,131
+American Staffordshire Terrier,53
+Australian Silky Terrier,3
+Australian Terrier,38
+Bedlington Terrier,7
+Biewer Yorkshire Terrier,112
+Border Terrier,243
+Boston Terrier,268
+Brasilianischer Terrier,4
+Bull Terrier,3
+Cairn Terrier,324
+Deutscher Jagdterrier,14
+English Staffordshire Terrier,7
+English Toy Terrier,29
+Foxterrier,299
+Irish Soft Coated Wheaten Terrier,45
+Irish Terrier,136
+Jack Russel Terrier,2293
+Kerry Blue Terrier,6
+Lakeland Terrier,43
+Manchester Terrier,33
+Miniature Bull Terrier,111
+Norfolk Terrier,32
+Norwich Terrier,84
+Parson Jack Russell Terrier,291
+Parson Russell Terrier,480
+Parson Terrier,27
+Pit Bull Terrier,15
+Russischer schwarzer Terrier,49
+Scottish Terrier,66
+Silky Terrier,7
+Skye Terrier,16
+Soft Coated Wheaten Terrier,40
+Staffordshire Bullterrier,27
+Terrier,339
+Tibet Terrier,291
+Toyterrier,13
+Tschechischer Terrier,2
+Welsh Terrier,79
+West Highland White Terrier,674
+Yorkshire Terrier,2386