Heiko J Schick
27 lines
968 B
Python
27 lines
968 B
Python
import pandas as pd
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import numpy as np
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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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