13 lines
491 B
Python
13 lines
491 B
Python
import pandas as pd
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import numpy as np
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OUT_PATH="./data/"
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FILE_COUNT=5
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ROW_COUNT=int(1E5)
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for file_num in range(FILE_COUNT):
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rand_numbers=pd.DataFrame(np.random.rand(ROW_COUNT),columns=["Numbers"])
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rand_letters=pd.DataFrame(np.random.randint(0,4,(ROW_COUNT)),columns=["Letters"]).replace({0:"A",1:"B",2:"C",3:"D"})
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data=pd.concat((rand_letters,rand_numbers),axis=1)
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with open(OUT_PATH+f"sample_{file_num+1}.csv","w",encoding="utf-8") as F:
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data.to_csv(F,index=None) |