打印矢量名称的索引(printing indexes of vector to names)
我有这个载体：
labels: [0 5 8 6 1 3 3 2 2 5 5 6 1 1 3 3 1 8 8 3 3 1 1 1 1 5 2 5 1 1 7 3 6 4 3 3 8 1 3 3 5 1 8 8 1 8 7 1 1 8 6]该向量有51个索引，每个索引代表一个美国州。 我有这个代码及其输出：
for j in range(9): print(" cluster no %i:%s"%(j,[i for i,x in enumerate(labels) if x == j])) output: cluster no 0:[0] cluster no 1:[3, 11, 32] cluster no 2:[2, 17, 24, 36, 43, 49] cluster no 3:[1, 9, 10, 18, 25, 27, 40, 42, 45] cluster no 4:[6, 8, 19, 20, 26, 31, 34, 38, 39] cluster no 5:[21, 30, 46] cluster no 6:[33] cluster no 7:[4, 5, 12, 13, 14, 15, 16, 22, 23, 28, 29, 35, 37, 41, 44, 47, 48] cluster no 8:[7, 50]基本上，输出是带有索引的值，我想打印而不是那些索引，状态，
举些例子，，
cluster no 0:[AK] .......反之亦然。
所有51的索引应按以下顺序排列：
'AK'=0 'AL'=1 'AR'=2 'AZ'=3 'CT';... 'DC'; 'DE'; 'FL'; 'GA'; 'HI'; 'IA'; 'ID'; 'IL';... 'IN'; 'KS'; 'KY'; 'LA'; 'MA'; 'MD'= 'ME'; 'MI'; 'MN'; 'MO'; 'MS'; 'MT'; 'NC'; 'ND'; 'NE'; 'NH'; 'NJ'; 'NM'; 'NV'; 'NY'; 'OH'; 'OK'; 'OR'; 'PA'; 'RI'; 'SC'; 'SD'; 'TN'; 'TX'; 'UT'; 'VA'; 'VT'; 'WA'; 'WI'; 'WV'; 'WY'= 50 ...I have this vector:
labels: [0 5 8 6 1 3 3 2 2 5 5 6 1 1 3 3 1 8 8 3 3 1 1 1 1 5 2 5 1 1 7 3 6 4 3 3 8 1 3 3 5 1 8 8 1 8 7 1 1 8 6]This vector has 51 indexes, each represent one state of US. And I have this code and its output:
for j in range(9): print(" cluster no %i:%s"%(j,[i for i,x in enumerate(labels) if x == j])) output: cluster no 0:[0] cluster no 1:[3, 11, 32] cluster no 2:[2, 17, 24, 36, 43, 49] cluster no 3:[1, 9, 10, 18, 25, 27, 40, 42, 45] cluster no 4:[6, 8, 19, 20, 26, 31, 34, 38, 39] cluster no 5:[21, 30, 46] cluster no 6:[33] cluster no 7:[4, 5, 12, 13, 14, 15, 16, 22, 23, 28, 29, 35, 37, 41, 44, 47, 48] cluster no 8:[7, 50]Basically,the output is the values with their indexes, I would like to print instead of those indexes, the states,
for examples,,
cluster no 0:[AK] .......and visa versa.
The indexes of all 51 should be the following states in order:
'AK'=0 'AL'=1 'AR'=2 'AZ'=3 'CT';... 'DC'; 'DE'; 'FL'; 'GA'; 'HI'; 'IA'; 'ID'; 'IL';... 'IN'; 'KS'; 'KY'; 'LA'; 'MA'; 'MD'= 'ME'; 'MI'; 'MN'; 'MO'; 'MS'; 'MT'; 'NC'; 'ND'; 'NE'; 'NH'; 'NJ'; 'NM'; 'NV'; 'NY'; 'OH'; 'OK'; 'OR'; 'PA'; 'RI'; 'SC'; 'SD'; 'TN'; 'TX'; 'UT'; 'VA'; 'VT'; 'WA'; 'WI'; 'WV'; 'WY'= 50 ...最满意答案
而不是[i for i,x in... ，使用[states[i] for i,x in... ，假设states是一个类似['AK', 'AL', 'AR',... 你的状态列表只有49个条目，所以我加了两个来获得指定的51。
>>> label = list(map(int, '0 5 8 6 1 3 3 2 2 5 5 6 1 1 3 3 1 8 8 3 3 1 1 1 1 5 2 5 1 1 7 3 6 4 3 3 8 1 3 3 5 1 8 8 1 8 7 1 1 8 6'.split())) >>> states = ['AK','AL','AR','AZ','CT','DC','DE','FL','GA','HI','IA','ID','IL','IN','KS','KY','LA','MA','MD','ME','MI','MN','MO','MS','MT','NC','ND','NE','NH','NJ','NM','NV','NY','OH','OK','OR','PA','RI','SC','SD','TN','TX','UT','VA','VT','WA','WI','WV','WY', 'PR', "ZZ"] >>> for j in range(9): ... print(" cluster no %i:%s"%(j,[states[i] for i,x in enumerate(label) if x == j])) ... cluster no 0:['AK'] cluster no 1:['CT', 'IL', 'IN', 'LA', 'MN', 'MO', 'MS', 'MT', 'NH', 'NJ', 'RI', 'TX', 'VT', 'WV', 'WY'] cluster no 2:['FL', 'GA', 'ND'] cluster no 3:['DC', 'DE', 'KS', 'KY', 'ME', 'MI', 'NV', 'OK', 'OR', 'SC', 'SD'] cluster no 4:['OH'] cluster no 5:['AL', 'HI', 'IA', 'NC', 'NE', 'TN'] cluster no 6:['AZ', 'ID', 'NY', 'AND'] cluster no 7:['NM', 'WI'] cluster no 8:['AR', 'MA', 'MD', 'PA', 'UT', 'VA', 'WA', 'PR']Instead of [i for i,x in..., use [states[i] for i,x in..., assuming states is a list that goes something like ['AK', 'AL', 'AR',.... Your list of states only had 49 entries, so I added two to get the specified 51.
>>> label = list(map(int, '0 5 8 6 1 3 3 2 2 5 5 6 1 1 3 3 1 8 8 3 3 1 1 1 1 5 2 5 1 1 7 3 6 4 3 3 8 1 3 3 5 1 8 8 1 8 7 1 1 8 6'.split())) >>> states = ['AK','AL','AR','AZ','CT','DC','DE','FL','GA','HI','IA','ID','IL','IN','KS','KY','LA','MA','MD','ME','MI','MN','MO','MS','MT','NC','ND','NE','NH','NJ','NM','NV','NY','OH','OK','OR','PA','RI','SC','SD','TN','TX','UT','VA','VT','WA','WI','WV','WY', 'PR', "ZZ"] >>> for j in range(9): ... print(" cluster no %i:%s"%(j,[states[i] for i,x in enumerate(label) if x == j])) ... cluster no 0:['AK'] cluster no 1:['CT', 'IL', 'IN', 'LA', 'MN', 'MO', 'MS', 'MT', 'NH', 'NJ', 'RI', 'TX', 'VT', 'WV', 'WY'] cluster no 2:['FL', 'GA', 'ND'] cluster no 3:['DC', 'DE', 'KS', 'KY', 'ME', 'MI', 'NV', 'OK', 'OR', 'SC', 'SD'] cluster no 4:['OH'] cluster no 5:['AL', 'HI', 'IA', 'NC', 'NE', 'TN'] cluster no 6:['AZ', 'ID', 'NY', 'AND'] cluster no 7:['NM', 'WI'] cluster no 8:['AR', 'MA', 'MD', 'PA', 'UT', 'VA', 'WA', 'PR']更多推荐
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