I have the following in my code:
import numpy as np
b=np.loadtxt("abc.xyz")
My abc.xyz file is like following:
A 1.0400000 0.0620770 0.0479419
A 2.0060000 2.4675657 -0.0229796
A 3.0700000 0.0490902 1.5524933
B 4.0090000 2.4494762 1.4444613
A 2.0040000 1.2139214 3.1270965
I keep getting this error:
ValueError: could not convert string to float: 'A'
How to fix this issue? Thank you in advance.
Use pandas and drop the first column
data = pandas.read_csv("abc.xyz",sep=" ")
data = data.drop(data.columns[0], axis=1)
As per the documentation for numpy, you want to take the data without the extra column with the letters, (If not, that's a completely different case), to do so, you can use the parameter usecols as follows:
b=np.loadtxt("abc.xyz",usecols = (1,2,3))
Link for the documentation for more information:
https://numpy.org/doc/stable/reference/generated/numpy.loadtxt.html
Try something like this:
b = np.loadtxt("abc.xyz", dtype=float)
Alternatively:
b = np.matrix(b, dtype=float)
Hope any of these works out for you.
float is the default dtype in loadtxtYour problem is the first column it contains letters and you want numbers only. So it looks like you'd want to skip the first column because it is irrelevant for your math and also not valid for conversion to numeric values: take a look at https://likegeeks.com/numpy-loadtxt-tutorial/#Ignoring_the_first_column
loadtxtas a default reads the whole line, and tries to convert each element to float. The error arises because the first valueAdoes not represent a number.