<p>使用<a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.set_printoptions.html" rel="nofollow noreferrer">np.set_printoptions</a>调整打印数组的精度。在</p>
<pre><code>>>> np.set_printoptions(precision=15)
>>> print(pows2nag)
[ 5.000000000000000e-01 2.500000000000000e-01 1.250000000000000e-01
6.250000000000000e-02 3.125000000000000e-02 1.562500000000000e-02
7.812500000000000e-03 3.906250000000000e-03 1.953125000000000e-03
9.765625000000000e-04 4.882812500000000e-04 2.441406250000000e-04
1.220703125000000e-04 6.103515625000000e-05 3.051757812500000e-05
1.525878906250000e-05 7.629394531250000e-06 3.814697265625000e-06
1.907348632812500e-06 9.536743164062500e-07 4.768371582031250e-07
2.384185791015625e-07 1.192092895507812e-07 5.960464477539062e-08
2.980232238769531e-08 1.490116119384766e-08 7.450580596923828e-09
3.725290298461914e-09 1.862645149230957e-09 9.313225746154785e-10
4.656612873077393e-10 2.328306436538696e-10 1.164153218269348e-10
5.820766091346741e-11 2.910383045673370e-11 1.455191522836685e-11
7.275957614183426e-12 3.637978807091713e-12 1.818989403545856e-12
9.094947017729282e-13 4.547473508864641e-13 2.273736754432321e-13
1.136868377216160e-13 5.684341886080801e-14 2.842170943040401e-14
1.421085471520200e-14 7.105427357601002e-15 3.552713678800501e-15
1.776356839400250e-15 8.881784197001252e-16 4.440892098500626e-16
2.220446049250313e-16 1.110223024625157e-16 5.551115123125783e-17
2.775557561562891e-17 1.387778780781446e-17 6.938893903907228e-18
3.469446951953614e-18 1.734723475976807e-18 8.673617379884035e-19
4.336808689942018e-19 2.168404344971009e-19 1.084202172485504e-19
5.421010862427522e-20 2.710505431213761e-20]
</code></pre>