presentazione

eduardperreca · Dec 12, 2022 · 7c77255 · 7c77255
1 parent 36e0aaa
commit 7c77255
Show file tree

Hide file tree

Showing 3 changed files with 40 additions and 40 deletions.
diff --git a/Visualizzazione Scientifica/ELEZIONI ITALIANE.pdf b/Visualizzazione Scientifica/ELEZIONI ITALIANE.pdf
diff --git a/Visualizzazione Scientifica/ELEZIONI ITALIANE.pptx b/Visualizzazione Scientifica/ELEZIONI ITALIANE.pptx
diff --git a/Visualizzazione Scientifica/scripts/plotMerging.py b/Visualizzazione Scientifica/scripts/plotMerging.py
@@ -58,43 +58,43 @@
 for i, row in df.iterrows():
     dictCheck[row["year"]][row["check"]] += row["PERCENTUALE"]
 
-# for key, value in dictCheck.items():
-#     print(key, value)
-
-# dictCheck = dict(sorted(dictCheck.items()))
-
-# y = np.array([dictCheck[i]["centroDestra"] for i in dictCheck.keys()])
-# x = np.array([i for i in dictCheck.keys()])
-# cubic_interpolation_model = interp1d(x, y, kind="cubic")
-# x_ = np.linspace(x.min(), x.max(), 200)
-# y_ = cubic_interpolation_model(x_)
-# plt.plot(x_, y_, color="b")
-
-# # y2 = np.array([dictCheck[i]["centroSinistra"] for i in dictCheck.keys()])
-# # x2 = np.array([i for i in dictCheck.keys()])
-# # cubic_interpolation_model = interp1d(x2, y2, kind="cubic")
-# # x2_ = np.linspace(x2.min(), x2.max(), 200)
-# # y2_ = cubic_interpolation_model(x2_)
-# # plt.plot(x2_, y2_, color="r")
-
-# y3 = np.array([dictCheck[i]["centroPuro"] for i in dictCheck.keys()])
-# x3 = np.array([i for i in dictCheck.keys()])
-# cubic_interpolation_model = interp1d(x3, y3, kind="cubic")
-# x3_ = np.linspace(x3.min(), x3.max(), 200)
-# y3_ = cubic_interpolation_model(x3_)
-# plt.plot(x3_, y3_, color="g")
-
-# # y5 = np.array([dictCheck[i]["altro"] for i in dictCheck.keys()])
-# # x5 = np.array([i for i in dictCheck.keys()])
-# # cubic_interpolation_model = interp1d(x5, y5, kind="cubic")
-# # x5_ = np.linspace(x5.min(), x5.max(), 200)
-# # y5_ = cubic_interpolation_model(x5_)
-# # plt.plot(x5_, y5_, color="c")
-
-
-# plt.title("Paragone evoluzione tra CDX e Centro Puro")
-# plt.xlabel("Anno")
-# plt.ylabel("Percentuale voti")
-# plt.legend(["Centro Destra", "Centro Puro"])
-
-# plt.show()
+for key, value in dictCheck.items():
+    print(key, value)
+
+dictCheck = dict(sorted(dictCheck.items()))
+
+y = np.array([dictCheck[i]["centroDestra"] for i in dictCheck.keys()])
+x = np.array([i for i in dictCheck.keys()])
+cubic_interpolation_model = interp1d(x, y, kind="cubic")
+x_ = np.linspace(x.min(), x.max(), 200)
+y_ = cubic_interpolation_model(x_)
+plt.plot(x_, y_, color="b")
+
+y2 = np.array([dictCheck[i]["centroSinistra"] for i in dictCheck.keys()])
+x2 = np.array([i for i in dictCheck.keys()])
+cubic_interpolation_model = interp1d(x2, y2, kind="cubic")
+x2_ = np.linspace(x2.min(), x2.max(), 200)
+y2_ = cubic_interpolation_model(x2_)
+plt.plot(x2_, y2_, color="r")
+
+y3 = np.array([dictCheck[i]["centroPuro"] for i in dictCheck.keys()])
+x3 = np.array([i for i in dictCheck.keys()])
+cubic_interpolation_model = interp1d(x3, y3, kind="cubic")
+x3_ = np.linspace(x3.min(), x3.max(), 200)
+y3_ = cubic_interpolation_model(x3_)
+plt.plot(x3_, y3_, color="g")
+
+# y5 = np.array([dictCheck[i]["altro"] for i in dictCheck.keys()])
+# x5 = np.array([i for i in dictCheck.keys()])
+# cubic_interpolation_model = interp1d(x5, y5, kind="cubic")
+# x5_ = np.linspace(x5.min(), x5.max(), 200)
+# y5_ = cubic_interpolation_model(x5_)
+# plt.plot(x5_, y5_, color="c")
+
+
+plt.title("Evoluzione Generale")
+plt.xlabel("Anno")
+plt.ylabel("Percentuale voti")
+plt.legend(["Centro Destra", "Centro Sinistra", "Centro Puro"])
+
+plt.show()