mirror of
https://github.com/logos-co/wadoku.git
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49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import matplotlib.pyplot as plt
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import pandas as pd
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import numpy as np
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import typer
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def read_file(ifile):
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df = pd.read_table(ifile, delimiter=',', lineterminator='\n')
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df.dropna(how='any')
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return df
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def case_1(value):
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if value == '--':
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return np.nan
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elif value[-3:] == 'GiB':
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return float(value[:-3])*1024*1024*1024
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elif value[-3:] == 'MiB':
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return float(value[:-3])*1024*1024
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elif value[-2:] == 'MB':
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return float(value[:-2])*1000*1000
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elif value[-2:] == 'kB':
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return float(value[:-2])*1000
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elif value[-1:] == 'B':
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return float(value[:-1])*1
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elif value[-1:] == '%':
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return float(value[:-1])
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else:
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print("ERR: ", value)
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exit()
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def main(fname: str = "input_file.table"):
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df = read_file(fname)
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df.dropna()
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df['CPU%'] = df['CPU%'].map(lambda x: case_1(x))
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df['MemUsage'] = df['MemUsage'].map(lambda x: case_1(x))
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#df['MemLimit'] = df['MemLimit'].map(lambda x: case_1(x))
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df['MEM%'] = df['MEM%'].map(lambda x: case_1(x))
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df['NetI'] = df['NetI'].map(lambda x: case_1(x))
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df['NetO'] = df['NetO'].map(lambda x: case_1(x))
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df['BlockI'] = df['BlockI'].map(lambda x: case_1(x))
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df['BlockO'] = df['BlockO'].map(lambda x: case_1(x))
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df.dropna()
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#print(df)
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df.plot()
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plt.show()
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if __name__ == "__main__":
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typer.run(main)
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