Thanks to the user balletpiraat I found a solution.
Install numpy with:
conda install -c conda-forge numpy
To test this I created two anaconda environments. Environment "normalnumpy" was created with:
conda create -n normalnumpy python=3.7
activate normalnumpy
conda install numpy
pip install pyinstaller
resulting in:
altgraph 0.16.1 <pip>
blas 1.0 mkl
certifi 2018.10.15 py37_0
future 0.16.0 <pip>
icc_rt 2017.0.4 h97af966_0
intel-openmp 2019.0 118
macholib 1.11 <pip>
mkl 2019.0 118
mkl_fft 1.0.6 py37hdbbee80_0
mkl_random 1.0.1 py37h77b88f5_1
numpy 1.15.2 py37ha559c80_0
numpy-base 1.15.2 py37h8128ebf_0
pefile 2018.8.8 <pip>
pip 10.0.1 py37_0
PyInstaller 3.4 <pip>
python 3.7.0 hea74fb7_0
pywin32-ctypes 0.2.0 <pip>
setuptools 40.4.3 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_0
wheel 0.32.1 py37_0
wincertstore 0.2 py37_0
Environment "extranumpy" was created with:
conda create -n extranumpy python=3.7
activate extranumpy
conda install -c conda-forge numpy
pip install pyinstaller
resulting in:
altgraph 0.16.1 <pip>
blas 1.1 openblas conda-forge
certifi 2018.10.15 py37_1000 conda-forge
future 0.16.0 <pip>
libflang 5.0.0 vc14_20180208 [vc14] conda-forge
llvm-meta 5.0.0 0 conda-forge
macholib 1.11 <pip>
numpy 1.15.2 py37_blas_openblash8d851b4_1 [blas_openblas] conda-forge
openblas 0.2.20 vc14_8 [vc14] conda-forge
openmp 5.0.0 vc14_1 [vc14] conda-forge
pefile 2018.8.8 <pip>
pip 10.0.1 py37_0
PyInstaller 3.4 <pip>
python 3.7.0 hea74fb7_0
pywin32-ctypes 0.2.0 <pip>
setuptools 40.4.3 py37_0
vc 14 0 conda-forge
vs2015_runtime 14.15.26706 h3a45250_0
wheel 0.32.1 py37_0
wincertstore 0.2 py37_0
I tested both environments with "main.py":
import numpy as np
if __name__ == '__main__':
test = np.array([42])
print(test)
and
pyinstaller --onefile main.py
the "normalnumpy" executable is 228MB, the "extranumpy" executable is 10MB.
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