modified: app.py

app.py

@@ -3,6 +3,7 @@ import numpy as np
 from mdutils import MdUtils
 import matplotlib.pyplot as plt
 import matplotlib.ticker as ticker
+import base64
 
 WIDTH = 12
 HEIGHT = 2
@@ -13,7 +14,7 @@ def make_all(numbers) -> dict:
 
     unique, counts = np.unique(arr, return_counts=True)
     d = dict(zip(unique, counts))
-    mode = np.argwhere(counts == np.max(counts))
+    mode = ', '.join([str(unique[i]) for i in np.argwhere(counts == np.max(counts)).flatten().tolist()])
     mean = np.mean(arr)
     rng = np.max(arr) - np.min(arr)
     vrnc = np.var(arr)
@@ -22,12 +23,47 @@ def make_all(numbers) -> dict:
         [f"{n}", f"{(mean - n):.2f}", f"{(mean - n) ** 2:.2f}"]
         for n in sorted(arr)
     ]
+
+    mdFile = MdUtils(file_name='Практическая работа по статистике',
+                    title='Практическая работа по статистике')
+
+    mdFile.new_line()
+    mdFile.new_paragraph(",".join([str(x) for x in arr]))
+    mdFile.new_line()
+    mdFile.new_paragraph(",".join([str(x) for x in sorted(arr)]))
+    mdFile.new_line()
+    mdFile.new_paragraph(f"Размах: {(np.max(arr) - np.min(arr))}")
+    mdFile.new_line()
+    mdFile.new_paragraph(f"Мода: {', '.join([str(unique[i]) for i in np.argwhere(counts == np.max(counts)).flatten().tolist()])}")
+    mdFile.new_line()
+    mdFile.new_paragraph(f"А ср.: {mean:.2f}")
+    mdFile.new_line()
+    mdFile.new_paragraph(f"D = {vrnc:.2f}")
+
+    list_of_strings = ["Элемент"]
+
+    for x in d:
+        list_of_strings.extend(
+            [f"{str(x)}"]
+        )
+    list_of_strings.append("Кол-во")
+    for value in d.values():
+        list_of_strings.extend([f"{str(value)}"])
+
+    mdFile.new_line()
+    mdFile.new_table(columns=len(d)+1, rows=2, text=list_of_strings, text_align='center')
+    mdFile.create_md_file()
+
+    with open("Практическая работа по статистике.md", encoding="utf-8") as f:
+        mdfile_enc = base64.b64encode(f.read())
+
     return {
         "Range": rng,
         "Mode": mode,
         "Mean": mean,
         "Variance": vrnc,
-        "Detailed_Variance": vrncls
+        # "Detailed_Variance": vrncls,
+        "mdfile": mdfile_enc
         }