Загрузил(а) файлы в 'TEMA9'

TEMA9/M0.py

@@ -0,0 +1,12 @@
+import M2
+import matplotlib.pyplot as plt
+import pickle 
+plt.bar(M2.city, list(map(int,M2.n_vuz)))
+plt.ylim(0, 10)
+plt.show()
+fp=open(f"{M2.f_name.split('.')[0]}.bin",'wb')
+pickle.dump(M2.dict1,fp)
+pickle.dump(M2.city,fp)
+pickle.dump(M2.n_vuz,fp)
+pickle.dump(M2.n_studs,fp)
+fp.close()

TEMA9/M1.py

@@ -0,0 +1,20 @@
+def read_file(name):
+    f = open(name, mode = 'r')
+    sps1 = []
+    sps2 = []
+    sps3 = []
+    for stroka in f:
+        sps = []
+        strok=stroka.rstrip('\n')
+        sps=strok.split('#')
+        sps1.append(sps[0])
+        sps2.append(sps[1])
+        sps3.append(sps[2])
+    f.close()
+    return sps1,sps2,sps3
+
+def make_dict(sps1,sps2,sps3):
+    dict1 = {}
+    for i in range(len(sps1)):
+        dict1[sps1[i]] = [sps2[i], sps3[i]]
+    return dict1

TEMA9/M2.py

@@ -0,0 +1,14 @@
+import os
+import M1
+
+flag = True
+f_name = ''
+while flag:
+    f_name = input('Введите имя файла: ')
+    if os.path.isfile(f_name):
+        flag = False
+
+city, n_vuz, n_studs = M1.read_file(f_name)
+print(f'Cities: {city}\nNumber vuz: {n_vuz}\nNumber_studs: {n_studs}')
+dict1 = M1.make_dict(city, n_vuz, n_studs)
+print(f'Dict: {dict1}')

TEMA9/test.txt

@@ -0,0 +1,4 @@
+Нижний Новгород#6#23000
+Краснодар#3#15600
+Тамбов#2#12800
+Брянск#3#17700