Modify keys in ndarray
Question:
I have a ndarray that looks like this:
array([[ -2.1e+00, -9.89644000e-03],
[ -2.2e+00, 0.00000000e+00],
[ -2.3e+00, 2.33447000e-02],
[ -2.4e+00, 5.22411000e-02]])
Whats the most pythonic way to add the integer 2
to the first column to give:
array([[ -0.1e+00, -9.89644000e-03],
[ -0.2e+00, 0.00000000e+00],
[ -0.3e+00, 2.33447000e-02],
[ -0.4e+00, 5.22411000e-02]])
Answers:
Edit:
To add 2 to the first column only, do
>>> import numpy as np
>>> x = np.array([[ -2.1e+00, -9.89644000e-03],
[ -2.2e+00, 0.00000000e+00],
[ -2.3e+00, 2.33447000e-02],
[ -2.4e+00, 5.22411000e-02]])
>>> x[:,0] += 2 # : selects all rows, 0 selects first column
>>> x
array([[-0.1, -0.00989644],
[-0.2, 0. ],
[-0.3, 0.0233447 ],
[-0.4, 0.0522411 ]])
>>> import numpy as np
>>> x = np.array([[ -2.1e+00, -9.89644000e-03],
[ -2.2e+00, 0.00000000e+00],
[ -2.3e+00, 2.33447000e-02],
[ -2.4e+00, 5.22411000e-02]])
>>> x + 2
array([[-0.1, 1.99010356],
[-0.2, 2. ],
[-0.3, 2.0233447 ],
[-0.4, 2.0522411 ]])
Perhaps the Numpy Tutorial may help you.
I have a ndarray that looks like this:
array([[ -2.1e+00, -9.89644000e-03],
[ -2.2e+00, 0.00000000e+00],
[ -2.3e+00, 2.33447000e-02],
[ -2.4e+00, 5.22411000e-02]])
Whats the most pythonic way to add the integer 2
to the first column to give:
array([[ -0.1e+00, -9.89644000e-03],
[ -0.2e+00, 0.00000000e+00],
[ -0.3e+00, 2.33447000e-02],
[ -0.4e+00, 5.22411000e-02]])
Edit:
To add 2 to the first column only, do
>>> import numpy as np
>>> x = np.array([[ -2.1e+00, -9.89644000e-03],
[ -2.2e+00, 0.00000000e+00],
[ -2.3e+00, 2.33447000e-02],
[ -2.4e+00, 5.22411000e-02]])
>>> x[:,0] += 2 # : selects all rows, 0 selects first column
>>> x
array([[-0.1, -0.00989644],
[-0.2, 0. ],
[-0.3, 0.0233447 ],
[-0.4, 0.0522411 ]])
>>> import numpy as np
>>> x = np.array([[ -2.1e+00, -9.89644000e-03],
[ -2.2e+00, 0.00000000e+00],
[ -2.3e+00, 2.33447000e-02],
[ -2.4e+00, 5.22411000e-02]])
>>> x + 2
array([[-0.1, 1.99010356],
[-0.2, 2. ],
[-0.3, 2.0233447 ],
[-0.4, 2.0522411 ]])
Perhaps the Numpy Tutorial may help you.