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DataFrameãªãã¸ã§ã¯ãããã®ã¾ã¾ãªã¹ãã«æ¾ãè¾¼ã ãããªãã¨ã§ãããªãã¦ãä»ããç¥ãã¾ãã¦ããã£ã¦ã¿ã¾ããã ãã®æ稿ã¯ãååã®èª²é¡ã®ã¤ã¥ãã¨ãã¾ãã import numpy as np import pandas as pd # é©å½ã«ãã¼ã¿ãã¬ã¼ã ãçæ data1 = np.arange(1,11).reshape(5,2) col1 = 'A B'.split() idx1 = 'ã ã ã ã ã'.split() df1 = pd.DataFrame(data1, columns=col1, index=idx1) df1 A B ã 1 2 ã 3 4 ã 5 6 ã 7 8 ã 9 10 # é©å½ã«ãã¼ã¿ãã¬ã¼ã ãçæ data2 = np.random.randint(1,101,(3,4)) col2 = 'one two three four'.split(
Patator was written out of frustration from using Hydra, Medusa, Ncrack, Metasploit modules and Nmap NSE scripts for password guessing attacks. I opted for a different approach in order to not create yet another brute-forcing tool and avoid repeating the same shortcomings. Patator is a multi-threaded tool written in Python, that strives to be more reliable and flexible than his fellow predecessors
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