You can use sklearn.preprocessing:
from sklearn.preprocessing import normalize
data = np.array([
[1000, 10, 0.5],
[765, 5, 0.35],
[800, 7, 0.09], ])
data = normalize(data, axis=0, norm='max')
print(data)
>>[[ 1. 1. 1. ]
[ 0.765 0.5 0.7 ]
[ 0.8 0.7 0.18 ]]