Typecasting a numpy matrix into a string in python
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02-06-2021 - |
سؤال
I have a m*n numpy matrix of float type. I am going to use the Counter function (from collections) to derive count of certain combination of matrix elements. On experimenting, I found that Counter() requires string value entries to iterate whereas my numpy matrix was by default a float type.
Using dtype while declaring the numpy matrix of zeros doesnt help.
So, I thought of converting each element of the numpymatrix into a string. But, its not working. How do i do it?
المحلول
xx = np.matrix([[1.2,3.4],[5.4,6.7],[9.8, 5.2]])
zz = np.matrix([[str(ele) for ele in a] for a in np.array(xx)])
Result:
>>> xx
matrix([[ 1.2, 3.4],
[ 5.4, 6.7],
[ 9.8, 5.2]])
>>> zz
matrix([['1.2', '3.4'],
['5.4', '6.7'],
['9.8', '5.2']],
dtype='|S3')
نصائح أخرى
It is unclear exactly what you are trying to do, but you might be better suited using np.histogram (or possibly np.bincount) to derive counts based on a numpy array.
But if you must:
In [45]: a = np.random.normal(size=(3,3))
In [46]: a
Out[46]:
array([[ 0.64552723, -0.4329958 , -1.84342512],
[ 0.83197804, -0.03053034, 0.22560254],
[ 0.61356459, -1.60778048, -1.51859134]])
In [47]: a.astype('|S8')
Out[47]:
array([['0.645527', '-0.43299', '-1.84342'],
['0.831978', '-0.03053', '0.225602'],
['0.613564', '-1.60778', '-1.51859']],
dtype='|S8')
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