I have a *.csv file that store two columns of float data. I am using this function to import it but it generates the data not separated with comma.
data=np.genfromtxt("data.csv", delimiter=',', dtype=float)
output:
[[ 403.14915 150.560364 ]
[ 403.7822265 135.13165 ]
[ 404.5017 163.4669 ]
[ 434.02465 168.023224 ]
[ 373.7655 177.904114 ]
[ 450.608429 208.4187315]
[ 454.39475 239.9666595]
[ 453.8055 248.4082 ]
[ 457.5625305 247.70315 ]
[ 451.729431 258.19335 ]
[ 366.74405 225.169922 ]
[ 377.0055235 258.110077 ]
[ 380.3581 261.760071 ]
[ 383.98615 262.33805 ]
[ 388.2516785 272.715332 ]
[ 408.378174 200.9713135]]
How to format it to get a numpy array like
[[ 403.14915, 150.560364 ]
[ 403.7822265, 135.13165 ],....]
?
NumPy doesn't display commas when you print arrays. If you really want to see them, you can use
print(repr(data))
The repr function forces a str representation not ment for "nice" printing, but for the literal representation you would use yourself to type the data in your code.