def drop(feature_name, month, fname):
col_names = np.genfromtxt(paths.my_path + 'col_names{0}.csv'.format(month),
delimiter=',',
dtype=str)
col_number = col_names.shape[1]
X = Matrix(
np.genfromtxt(paths.my_path + 'X{0}.csv'.format(month),
delimiter=',',
dtype=str), list(col_names[0, :]),
["%s" for i in xrange(col_names.shape[1])])
X.drop(feature_name)
def drop_multiple(feature_names, month):
col_names = np.genfromtxt(paths.my_path + 'col_names{0}.csv'.format(month),
delimiter=',',
dtype=str)
col_number = col_names.shape[1]
X = Matrix(
np.genfromtxt(paths.my_path + 'X{0}.csv'.format(month),
delimiter=',',
dtype=str), list(col_names[0, :]),
["%s" for i in xrange(col_names.shape[1])])
for name in feature_names:
X.drop(name)
X.check_point(month)