英文:
Appending array in a cycle
问题
你可以通过以下方式来修改你的代码，以便将所有数据存储在数组中，并为数组的列添加标题：
import numpy as npresult_primary = ['00000000', '01010101', '10101010', '11111111']result_compressed = ['01100110', '10011001']# 创建一个空的列表，用于存储结果result_array = []def hamming2(s1, s2):assert len(s1) == len(s2)return sum(c1 != c2 for c1, c2 in zip(s1, s2))# 添加标题到结果列表result_array.append(["Primary", "Compressed", "Hamming Distance"])# 使用嵌套循环计算Hamming距离并将结果添加到列表中for i in result_primary:for j in result_compressed:hamming_distance = hamming2(i, j)result_array.append([i, j, str(hamming_distance)])# 打印结果数组，每行用制表符分隔for row in result_array:print('\t'.join(row))
这将给你以下输出，并将所有的数据存储在result_array中：
Primary Compressed Hamming Distance00000000 01100110 400000000 10011001 401010101 01100110 401010101 10011001 410101010 01100110 410101010 10011001 411111111 01100110 411111111 10011001 4
现在，你可以进一步操作result_array中的数据。
英文:
I have two lists like in the example below:
result_primary = ['00000000', '01010101', '10101010', '11111111']result_compressed = ['01100110', '10011001']
I am calculating the hamming distance between each element from the second list and each element from the first. For that purpose I have the following code:
def hamming2(s1, s2):assert len(s1) == len(s2)return sum(c1 != c2 for c1, c2 in zip(s1, s2))for i in result_primary:for j in result_compressed:primary_att_vs_compr_hamming = np.array([i, j, hamming2(i, j)] )print(primary_att_vs_compr_hamming)
This gives me the desired outcome at the console:
['00000000' '01100110' '4']['00000000' '10011001' '4']['01010101' '01100110' '4']['01010101' '10011001' '4']['10101010' '01100110' '4']['10101010' '10011001' '4']['11111111' '01100110' '4']['11111111' '10011001' '4']
But actually I do not have all the data captured in the array, instead the cycle overwrites the variable in each iteration and at the end I have only the last row written in the array:
def hamming2(s1, s2):assert len(s1) == len(s2)return sum(c1 != c2 for c1, c2 in zip(s1, s2))for i in result_primary:for j in result_compressed:primary_att_vs_compr_hamming = np.array([i, j, hamming2(i, j)] )print(primary_att_vs_compr_hamming)
Output:
['11111111' '10011001' '4']
How can I make it to write everything in the array (as I am willing to have it for further manipulations? Also, how can I put titles of the columns in the array (anyway it is array of strings)?
答案1
得分: 0
使用外部列表来存储结果：
data = []for i in result_primary:for j in result_compressed:primary_att_vs_compr_hamming = np.array([i, j, hamming2(i, j)])data.append(primary_att_vs_compr_hamming)
输出：
>>> np.array(data)array([['00000000', '01100110', '4'],['00000000', '10011001', '4'],['01010101', '01100110', '4'],['01010101', '10011001', '4'],['10101010', '01100110', '4'],['10101010', '10011001', '4'],['11111111', '01100110', '4'],['11111111', '10011001', '4']], dtype='<U21')
英文:
Use an external list to store results:
data = []for i in result_primary:for j in result_compressed:primary_att_vs_compr_hamming = np.array([i, j, hamming2(i, j)])data.append(primary_att_vs_compr_hamming)
Output:
>>> np.array(data)array([['00000000', '01100110', '4'],['00000000', '10011001', '4'],['01010101', '01100110', '4'],['01010101', '10011001', '4'],['10101010', '01100110', '4'],['10101010', '10011001', '4'],['11111111', '01100110', '4'],['11111111', '10011001', '4']], dtype='<U21')
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