ger*_*rry 4 python arrays numpy scientific-notation matrix
我正在尝试在屏幕上打印一个ndarray.但是python总是用科学记数法表示,我不喜欢.对于标量,我们可以使用
>>> print '%2.4f' %(7.47212470e-01)
0.7472
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但是如何为这样的numpy.ndarray做到这一点:
[[ 7.47212470e-01 3.71730070e-01 1.16736538e-01 1.22172891e-02]
[ 2.79279640e+00 1.31147152e+00 7.43946656e-02 3.08162255e-02]
[ 6.93657970e+00 3.14008688e+00 1.02851599e-01 3.96611266e-02]
[ 8.49295040e+00 3.94730094e+00 8.99398479e-02 7.60969188e-02]
[ 2.01849250e+01 8.62584092e+00 8.75722302e-02 6.17109672e-02]
[ 2.22570710e+01 1.00291292e+01 1.20918359e-01 1.07250131e-01]
[ 2.82496660e+01 1.27882133e+01 1.08438172e-01 1.58723714e-01]
[ 5.89170270e+01 2.55268510e+01 1.31990966e-01 1.61599514e-01]]
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方法.astype(float)不会更改结果,而.round(4)会返回:
[[ 7.47200000e-01 3.71700000e-01 1.16700000e-01 1.22000000e-02]
[ 2.79280000e+00 1.31150000e+00 7.44000000e-02 3.08000000e-02]
[ 6.93660000e+00 3.14010000e+00 1.02900000e-01 3.97000000e-02]
[ 8.49300000e+00 3.94730000e+00 8.99000000e-02 7.61000000e-02]
[ 2.01849000e+01 8.62580000e+00 8.76000000e-02 6.17000000e-02]
[ 2.22571000e+01 1.00291000e+01 1.20900000e-01 1.07300000e-01]
[ 2.82497000e+01 1.27882000e+01 1.08400000e-01 1.58700000e-01]
[ 5.89170000e+01 2.55269000e+01 1.32000000e-01 1.61600000e-01]]
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我只是想要0.7472 0.3717等
ihu*_*ton 10
该numpy.set_string_function函数可用于更改数组的字符串表示形式.
您还可以使用numpy.set_print_options更改默认使用的精度并以科学计数法关闭小数字的报告.
从以下示例set_print_options:
>>> np.set_printoptions(precision=4)
>>> print np.array([1.123456789])
[ 1.1235]
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