Generally your idea of trying to apply astype to each column is fine. In [590]: X[:,0].astype(int) Out[590]: array([1, 2, 3, 4, 5]). ... <看更多>

Pandas : changing numpy array to float [ Beautify Your Computer : https://www.hows.tech/p/recommended.html ] Pandas : changing numpy array ... ... <看更多>

Creating Arrays from Python Lists¶. First, we can use np.array to create arrays from Python lists: ... Double precision float: sign bit, 11 bits exponent, 52 bits ... ... <看更多>

... array is integer, floating point or complex. Right now one of these is the most common probably: x.dtype.kind in np.typecodes["AllFloat"] np ... ... <看更多>

ndim, arrays)) == set((1,)) . This is important because np.size won't distinguish between a length=4 1D array and a 2x2 array. Yep, that's ... ... <看更多>