Heiko J Schick
78 lines
2.0 KiB
Python
78 lines
2.0 KiB
Python
import pandas as pd
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import numpy as np
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import matplotlib.pyplot as plt
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def print_data(df):
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print("=========================================")
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print(df)
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print("-----------------------------------------")
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print(df.dtypes)
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print("-----------------------------------------")
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print(df.shape)
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print("-----------------------------------------")
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print(df.info())
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def load_data(filename, columns):
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df = pd.read_csv(filename, header = None, sep = "\s+", comment ='#')
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df.columns = columns
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df = df.dropna()
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df[columns[0]] = df.year.astype(float)
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print_data(df)
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return df
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df_cores = load_data("48yrs/cores.dat", ["year", "cores"])
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df_frequency = load_data("48yrs/frequency.dat", ["year", "frequency"])
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df_specint = load_data("48yrs/specint.dat", ["year", "specint"])
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df_transistors = load_data("48yrs/transistors.dat", ["year", "transistors"])
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df_watts = load_data("48yrs/watts.dat", ["year", "watts"])
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violet = []
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violet.append((196/255, 0/255, 84/255))
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orange = []
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orange.append((237/255, 109/255, 0/255))
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yellow = []
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yellow.append((252/255, 200/255, 0/255))
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green = []
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green.append((98/255, 178/255, 48/255))
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blue = []
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blue.append((48/255, 181/255, 197/255))
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black = []
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black.append((25/255, 24/255, 21/255))
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plt.yscale('log')
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plt.grid(True)
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x = df_transistors.year
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y = df_transistors.transistors
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plt.scatter(x, y, marker = "^", color = yellow)
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x = df_specint.year
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y = df_specint.specint
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plt.scatter(x, y, marker = "s", color = blue)
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x = df_frequency.year
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y = df_frequency.frequency
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plt.scatter(x, y, marker = "s", color = green)
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x = df_watts.year
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y = df_watts.watts
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plt.scatter(x, y, marker = "v", color = violet)
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x = df_cores.year
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y = df_cores.cores
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plt.scatter(x, y, marker = "o", color = black)
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plt.legend(["Transistors (thousands)",
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"Single-thread SPECint (thousands)",
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"Frequency (MHz)",
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"Typical power (Watts)",
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"Number of logical cores"],
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loc = "upper left",
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fontsize = "small")
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plt.show() |