I've seen how to save a numpy array with a format option (here). I saved my numpy array like this:
np.savetxt('my_file.txt', results, fmt='%1.4f', delimiter=",")
It looks fine:
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0200,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0050,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
Now when I try to load it I get an error:
pl_sioux = np.loadtxt("my_file.txt")
Traceback (most recent call last):
File "rfresults.py", line 3, in <module>
pl_sioux = np.loadtxt("rf_pl_Sioux.txt") #, dtype='f')
File "/user/pkgs/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 1092, in loadtxt
for x in read_data(_loadtxt_chunksize):
File "/user/pkgs/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 1019, in read_data
items = [conv(val) for (conv, val) in zip(converters, vals)]
File "/user/pkgs/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 738, in floatconv
return float(x)
ValueError: invalid literal for float(): 0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
I tried this, to math the fmt
option:
loaded_file = np.loadtxt("my_file.txt", dtype='f')
but got the same error.
How can I load my numpy array?
The default delimiter value is a whitespace. You have to provide the value of the actual delimiter:
np.loadtxt("my_file.txt", delimiter=",")
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