numpy loadtxt skip first row

def skipper(fname, header=False):
    with open(fname) as fin:
        no_comments = (line for line in fin if not line.lstrip().startswith('#'))
        if header:
            next(no_comments, None) # skip header
        for row in no_comments:
            yield row

a = np.loadtxt(skipper('your_file'), delimiter=',')

This is just a little modification of @Jon Clements's answer by adding an optional parameter "header", given that in some cases, the csv file has comment lines (starts with #) but doesn't have the header row.

Create your own custom filter function, such as:

def skipper(fname):
    with open(fname) as fin:
        no_comments = (line for line in fin if not line.lstrip().startswith('#'))
        next(no_comments, None) # skip header
        for row in no_comments:
            yield row

a = np.loadtxt(skipper('your_file'), delimiter=',')

Skip comment line manually using generator expression:

import numpy as np

with open('datafile1.csv') as f:
    lines = (line for line in f if not line.startswith('#'))
    FH = np.loadtxt(lines, delimiter=',', skiprows=1)