delete specific columns in 2d numpy array

[abraxas334]

i have a [4x10] numpy array.
I want to remove all columns where just one negative number can be found

So my orriginal array may look like this:


>>>np_states
array([[ -3.00000000e-01, 9.79046844e-06, 1.47256220e-01,
1.72133291e-02, 1.02045857e-02, 1.28577429e-01,
3.64340296e-02, 9.19883478e-02, 4.72512761e-01,
2.92455461e-02],
[ 6.02805796e-07, 4.99891856e-05, 4.48680965e-01,
6.87139172e-01, 7.73983848e-01, 1.47036533e-01,
6.66368384e-01, 5.97163549e-01, 2.81824566e-01,
7.04446005e-01],
[ 9.99999166e-01, 9.99904115e-01, 3.49703181e-01,
1.96402961e-01, 1.66155685e-01, 9.52311133e-02,
9.32325746e-02, 1.39345379e-01, 1.62651543e-01,
2.47597672e-01],
[ 7.97715696e-08, 3.61049370e-05, 5.43596347e-02,
9.92445381e-02, 4.96558810e-02, 6.29154924e-01,
2.03965012e-01, 1.71502725e-01, 8.30111304e-02,
1.87107764e-02]])





then array.sign looks like this:


array([[-1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]])




then i want to do something like this:


array = np.delete(np_states, 0,1)

so the first column with the negative entry is deleted. Now i have a bunch of these arrays with various amounts of negative sgins, how can I return the column indices for which I need to delete the columns?

Thanks!