假设我有四个列表(实际上我有更多列表，从 CSV 中读入 numpy 数组)，这样:
a = [54,35,67...]
b = [45,21,87...]
c = [32,58,52...]
d = [4,78,43...]
# In reality I have plant % cover surveyed at a location
和四个列表，例如:
A = ['foo', 'bar', 'ham'...]
B = ['eggs', 'spam', 'bar'...]
C = ['ham', 'eggs', 'foo'...]
D = ['eggs', 'spam', 'bar'...]
# These are plant species
我可以使用以下方法找到 a、b、c 和 d 的最大值:
max = [a, b, c, d].max(axis=0)
# The max plant % cover between a, b, c and d on the 0 axis
获取:
max = [54, 78, 87...]
# the plant species that accompanies the max plant % cover
但是我现在如何获取相应的文本值，所以我的输出看起来像:
Text = ['foo', 'spam', 'bar'...]
最佳答案
您可以使用argmax来获取最大值的索引和advanced indexing从名称数组中获取名称:
import numpy as np
names = np.array([A, B, C, D])
values = np.array([a, b, c, d])
# use argmax to find out the index of the max values
index_max = values.argmax(0)
# use index to pick up corresponding names using advance indexing
names[index_max, np.arange(names.shape[1])]
# array(['foo', 'spam', 'bar'],
# dtype='<U4')
关于python - 索引多个数组，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/42729021/