["python","numpy","number-formatting","scientific-notation"]
Suppress Scientific Notation in Numpy When Creating Array From Nested List

I have a nested Python list that looks like the following: my_list = [[3.74, 5162, 13683628846.64, 12783387559.86, 1.81], [9.55, 116, 189688622.37, 260332262.0, 1.97], [2.2, 768, 6004865.13, 5759960.98, 1.21], [3.74, 4062, 3263822121.39, 3066869087.9, 1.93], [1.91, 474, 44555062.72, 44555062.72, 0.41], [5.8, 5006, 8254968918.1, 7446788272.74, 3.25], [4.5, 7887, 30078971595.46, 27814989471.31, 2.18], [7.03, 116, 66252511.46, 81109291.0, 1.56], [6.52, 116, 47674230.76, 57686991.0, 1.43], [1.85, 623, 3002631.96, 2899484.08, 0.64], [13.76, 1227, 1737874137.5, 1446511574.32, 4.32], [13.76, 1227, 1737874137.5, 1446511574.32, 4.32]] I then import Numpy, and set print options to (suppress=True). When I create an array: my_array = numpy.array(my_list) I can't for the life of me suppress scientific notation: [[ 3.74000000e+00 5.16200000e+03 1.36836288e+10 1.27833876e+10 1.81000000e+00] [ 9.55000000e+00 1.16000000e+02 1.89688622e+08 2.60332262e+08 1.97000000e+00] [ 2.20000000e+00 7.68000000e+02 6.00486513e+06 5.75996098e+06 1.21000000e+00] [ 3.74000000e+00 4.06200000e+03 3.26382212e+09 3.06686909e+09 1.93000000e+00] [ 1.91000000e+00 4.74000000e+02 4.45550627e+07 4.45550627e+07 4.10000000e-01] [ 5.80000000e+00 5.00600000e+03 8.25496892e+09 7.44678827e+09 3.25000000e+00] [ 4.50000000e+00 7.88700000e+03 3.00789716e+10 2.78149895e+10 2.18000000e+00] [ 7.03000000e+00 1.16000000e+02 6.62525115e+07 8.11092910e+07 1.56000000e+00] [ 6.52000000e+00 1.16000000e+02 4.76742308e+07 5.76869910e+07 1.43000000e+00] [ 1.85000000e+00 6.23000000e+02 3.00263196e+06 2.89948408e+06 6.40000000e-01] [ 1.37600000e+01 1.22700000e+03 1.73787414e+09 1.44651157e+09 4.32000000e+00] [ 1.37600000e+01 1.22700000e+03 1.73787414e+09 1.44651157e+09 4.32000000e+00]] If I create a simple numpy array directly: new_array = numpy.array([1.5, 4.65, 7.845]) I have no problem and it prints as follows: [ 1.5 4.65 7.845] Does anyone know what my problem is?
This is what you need: np.set_printoptions(suppress=True) Here is the documentation which says suppress: bool, optional If True, always print floating point numbers using fixed point notation, in which case numbers equal to zero in the current precision will print as zero. If False, then scientific notation is used when absolute value of the smallest number is < 1e-4 or the ratio of the maximum absolute value to the minimum is > 1e3. The default is False. In the original question, the difference between the array created "directly" and the original "big" array is that the big array contains very large numbers (e.g. 1.44651157e+09), so NumPy chooses the scientific notation for it, unless it's suppressed.