Added matplot lib function calls

data_visualisation.py

@@ -1,15 +1,16 @@
 import pandas as pd
 import numpy as np
+import matplotlib.pyplot as plt
 
 def print_data(df):
-    # print("=========================================")
+    print("=========================================")
     print(df)
-    # print("-----------------------------------------")
-    # print(df.dtypes)
-    # print("-----------------------------------------")
-    # print(df.shape)
-    # print("-----------------------------------------")
-    # print(df.info())
+    print("-----------------------------------------")
+    print(df.dtypes)
+    print("-----------------------------------------")
+    print(df.shape)
+    print("-----------------------------------------")
+    print(df.info())
 
 def load_data(filename, columns):
     df = pd.read_csv(filename, header = None, sep = "\s+", comment ='#')
@@ -24,3 +25,54 @@ df_frequency   = load_data("48yrs/frequency.dat",   ["year", "frequency"])
 df_specint     = load_data("48yrs/specint.dat",     ["year", "specint"])
 df_transistors = load_data("48yrs/transistors.dat", ["year", "transistors"])
 df_watts       = load_data("48yrs/watts.dat",       ["year", "watts"])
+
+violet = []
+violet.append((196/255, 0/255, 84/255))
+
+orange = []
+orange.append((237/255, 109/255, 0/255))
+
+yellow = []
+yellow.append((252/255, 200/255, 0/255))
+
+green = []
+green.append((98/255, 178/255, 48/255))
+
+blue = []
+blue.append((48/255, 181/255, 197/255))
+
+black = []
+black.append((25/255, 24/255, 21/255))
+
+
+x = df_transistors.year
+y = df_transistors.transistors
+plt.scatter(x, y, marker = "^", color = yellow)
+
+x = df_specint.year
+y = df_specint.specint
+plt.scatter(x, y, marker = "s", color = blue)
+
+x = df_frequency.year
+y = df_frequency.frequency
+plt.scatter(x, y, marker = "s", color = green)
+
+x = df_watts.year
+y = df_watts.watts
+plt.scatter(x, y, marker = "v", color = violet)
+
+x = df_cores.year
+y = df_cores.cores
+plt.scatter(x, y, marker = "o", color = black)
+
+plt.yscale('log')
+
+# plt.legend(loc="upper right", ["Cold", "Medium", "Hot"])
+plt.legend(["Transistors (thousands)", 
+            "Single-thread SPECint (thousands)", 
+            "Frequency (MHz)", 
+            "Typical power (Watts)", 
+            "Number of logical cores"], 
+           loc = "upper left")
+
+plt.show()