我尝试按列获取唯一计数,但我的数组有分类变量(dtype对象)
val, count = np.unique(x, axis=1, return_counts=True)
虽然我遇到了这样的错误:
^{pr2}$我怎么解决这个问题?在
样品x:
array([[' Private', ' HS-grad', ' Divorced'],
[' Private', ' 11th', ' Married-civ-spouse'],
[' Private', ' Bachelors', ' Married-civ-spouse'],
[' Private', ' Masters', ' Married-civ-spouse'],
[' Private', ' 9th', ' Married-spouse-absent'],
[' Self-emp-not-inc', ' HS-grad', ' Married-civ-spouse'],
[' Private', ' Masters', ' Never-married'],
[' Private', ' Bachelors', ' Married-civ-spouse'],
[' Private', ' Some-college', ' Married-civ-spouse']], dtype=object)
需要以下计数:
for x_T in x.T:
val, count = np.unique(x_T, return_counts=True)
print (val,count)
[' Private' ' Self-emp-not-inc'] [8 1]
[' 11th' ' 9th' ' Bachelors' ' HS-grad' ' Masters' ' Some-college'] [1 1 2 2 2 1]
[' Divorced' ' Married-civ-spouse' ' Married-spouse-absent'
' Never-married'] [1 6 1 1]
您可以使用Itemfreq event,尽管它的输出看起来不像您的,但它提供了所需的计数:
输出:
^{pr2}$否则,您可以尝试指定其他数据类型,例如:
但是你的阵型必须不同
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