使用 numpy 按行连接不同大小的数组

Question

我设法使用 np.concatenate 按行加入了两个相同大小（即相同数量的列）的 csv 数据集。combined = np.concatenate((price1,price2))如何使用 numpy 按行连接两个不同大小的 csv 数据集（它们包含通用标题，但其中一个数据集有一个附加列）？数据集 1 的标题：a、b、c、d、e、f、g、h、i、kdataset2 的标题：a、b、c、d、e、f、g、h、i、j（分析不需要的附加列）、k非常感谢。

Answer 1

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https://www.sordum.org/?s=%E9%92%A2%E7%8F%A0%E8%83%BD%E4%BB%A3%E6%9B%BF%62%62%E5%BC%B9%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
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https://www.sordum.org/?s=%E6%95%A3%E8%9B%8B%E6%9E%AA%E6%A2%B0%E5%8E%9F%E7%90%86%E5%B0%BA%E5%AF%B8%E5%9B%BE%E7%BA%B8%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
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https://www.sordum.org/?s=%E6%89%93%E9%B8%9F%E5%B7%A5%E5%85%B7%E7%A7%83%E5%AD%90%E6%89%93%E9%B8%9F%E8%A7%86%E9%A2%91%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%BB%84%E4%B8%80%E6%8A%8A%E7%A7%83%E5%AD%90%E8%A3%85%E5%A5%BD%E9%9C%80%E8%A6%81%E5%A4%9A%E5%B0%91%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E8%BF%9B%E5%8F%A3%E7%A7%83%E5%AD%90%E5%A4%9A%E5%B0%91%E4%B8%80%E6%8A%8A%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E5%BC%B9%E5%BC%93%E6%89%93%E9%B8%9F%E4%B8%80%E8%88%AC%E7%94%A8%E5%A4%9A%E5%B0%91%E6%AF%AB%E7%B1%B3%E7%9A%84%E9%92%A2%E7%8F%A0%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%35%2E%36%E8%BF%90%E5%8A%A8%E9%95%BF%E5%BC%B9%E5%87%BA%E5%94%AE%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
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https://www.sordum.org/?s=%E5%9B%BD%E4%BA%A7%E7%A7%83%E5%A4%9A%E5%B0%91%E9%92%B1%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
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https://www.sordum.org/?s=%E7%BE%8E%E7%A7%83%E5%92%8C%E5%9B%BD%E7%A7%83%E7%9A%84%E5%8C%BA%E5%88%AB%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%A7%83%E4%B8%80%E6%8A%8A%E5%A4%9A%E5%B0%91%E9%92%B1%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%A7%83%E5%AD%90%E5%9E%8B%E6%9D%90%E6%B7%98%E5%AE%9D%E6%80%8E%E4%B9%88%E6%90%9C%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E5%9B%BD%E4%BA%A7%E7%9F%AD%E7%A7%83%E5%A4%9A%E5%B0%91%E9%92%B1%E4%B8%80%E6%8A%8A%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%A7%83%E5%AD%90%E9%85%8D%E4%BB%B6%E4%BB%B7%E6%A0%BC%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%A7%83%E5%AD%90%E5%85%A8%E5%A5%97%E9%85%8D%E4%BB%B6%E4%BB%B7%E6%A0%BC%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E5%B9%BF%E8%A5%BF%E7%A7%83%E5%A4%9A%E5%B0%91%E9%92%B1%E4%B8%80%E5%A5%97%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E8%BF%9B%E5%8F%A3%E6%B0%94%E6%89%8B%E6%9E%AA%E5%A4%9A%E5%B0%91%E9%92%B1%E4%B8%80%E6%8A%8A%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E4%B8%80%E6%8A%8A%E9%92%A2%E7%8F%A0%E6%89%8B%E6%9E%AA%E8%A6%81%E5%A4%9A%E5%B0%91%E9%92%B1%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%A7%83%E5%AD%90%E5%85%A8%E5%A5%97%E9%85%8D%E4%BB%B6%E5%8F%AB%E4%BB%80%E4%B9%88%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E4%B8%80%E6%8A%8A%E7%A7%83%E5%AD%90%E8%A6%81%E5%A4%9A%E5%B0%91%E9%92%B1%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E7%A7%83%E5%AD%90%E7%BB%84%E5%A5%BD%E4%B8%80%E6%8A%8A%E5%A4%9A%E5%B0%91%E9%92%B1%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E4%B8%80%E6%8A%8A%E7%A7%83%E5%AD%90%E7%BB%84%E5%A5%BD%E5%A4%9A%E5%B0%91%E9%92%B1%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E6%89%93%E9%B8%9F%E7%9A%84%E9%92%A2%E7%8F%A0%E6%89%8B%E6%9E%AA%E5%A4%9A%E5%B0%91%E9%92%B1%E4%B8%80%E6%8A%8A%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32
https://www.sordum.org/?s=%E8%81%94%E6%8E%92%E5%92%8C%E7%A7%83%E5%AD%90%E9%82%A3%E4%B8%AA%E5%A8%81%E5%8A%9B%E5%A4%A7%E8%81%94%E7%B3%BB%E3%80%90%31%35%4F%4F%2D%34%37%34%36%3B%71%E3%80%91%E6%B5%8B%E8%AF%95%31%30%32

Answer 2

您可以使用np.delete删除多余的列然后使用np.concatenate

headers = list('abcdefghik')

a = np.arange(len(headers)).reshape(1, -1)

#Output: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

headers_2 = list('abcdefghijk')

b = np.arange(len(headers_2)*2).reshape(2,-1)

#Output: array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10],

#       [11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]])

col_to_remove = headers_2.index('j')

np.delete(b, col_to_remove, axis = 1) #note that this does not modify original array, returns a copy.

#Output: array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8, 10],

#       [11, 12, 13, 14, 15, 16, 17, 18, 19, 21]])

result = np.concatenate((a, np.delete(b, col_to_remove, axis = 1)))

#Output: array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9],

#       [ 0,  1,  2,  3,  4,  5,  6,  7,  8, 10],

#       [11, 12, 13, 14, 15, 16, 17, 18, 19, 21]])