Heiko J Schick
23 lines
468 B
Python
23 lines
468 B
Python
import pandas as pd
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import numpy as np
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filename = "48yrs/cores.dat"
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df = pd.read_csv(filename, header = None, sep = "\s+")
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df.columns = ["year", "cores"]
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df = df.dropna()
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df['year'] = df.year.astype(float)
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cores_missing = df['cores'].isna()
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print(df.loc[cores_missing,:])
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print(df['year'].isna().sum())
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print(df['cores'].isna().sum())
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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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