File is utility.dat
Name D L J H E M RF AF
line1 150 4.5 2.0 150 2 Copper 0.8 true
line2 140 4.5 2.0 140 2 Aluminium 0.8 true
My script is script.py
import numpy
configName = "utility.dat"
lines = numpy.genfromtxt(configName,
skip_header=1,
dtype=(str, float, float, float, float, float, str, float, bool))
print(lines[0])
My result is
('', 150., 4.5, 2., 150., 2., '', 0.8, True)
Process finished with exit code 0
Now how do I specify the dtype correctly? Because I don't want to give a size like "S12" or something because there is no way I will know how big this can get. I also don't want to use dtype=None.
Any other solution?
Since i am not able to do this via NumPy i have moved over to Pandas and it worked for me.
I am new to Python and so still learning, but i get the idea that if i want to have a table of data with Float,String,Integers i am better off using Pandas and if i have pure table that is mostly Float and Integers i am better off using NumPy.
for now Pandas worked for me, and so moving on. Thank you