Why is my panda data set inflating when parsing it to a np.array? Python
Why is my panda data set inflating when parsing it to a np.array (X = np.array(df))?
Lat Lon timeSeconds
0 40.7690 -73.9549 12615603860
1 40.7267 -74.0345 12615604220
2 40.7316 -73.9873 12615604460
3 40.7588 -73.9776 12615604880
4 40.7594 -73.9722 12615605180
Lat float64
Lon float64
timeSeconds int64
dtype: object
-------------1--------------
[[ 4.07690000e+01 -7.39549000e+01 1.26156039e+10]
[ 4.07267000e+01 -7.40345000e+01 1.26156042e+10]
[ 4.07316000e+01 -7.39873000e+01 1.26156045e+10]
[ 4.07588000e+01 -7.39776000e+01 1.26156049e+10]
[ 4.07594000e+01 -7.39722000e+01 1.26156052e+10]
What do you mean by "inflating"? It's just being displayed in scientific notation.
I mean the values 12615603860 is not equal to 1.26156039e+10 look it inflated by .000000004 are you blind to this inflation?. Is this just in my head? that is inflation
It's being rounded for display purposes