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Jesse DeGrendel
7,214 PointsError in the Loading Raw Data video
This is the error I have:
python s2v1.py
['', 'id', 'priceLabel', 'name', 'brandId', 'brandName', 'imageLink', 'desc', 'vendor', 'print', 'material']
Traceback (most recent call last):
File "/usr/local/pyenv/versions/3.5.0/lib/python3.5/site-packages/numpy/lib/_iotools.py", line 855, in easy_dtype
ndtype = np.dtype(ndtype)
TypeError: data type not understood
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "s2v1.py", line 25, in <module>
my_csv= load_data('data.csv')
File "s2v1.py", line 22, in load_data
my_csv = numpy.genfromtxt(filename, delimiter=d, skip_header=1, invalid_raise=False, names = 'FIELDNAMES', dtype=DATATYPES)
File "/usr/local/pyenv/versions/3.5.0/lib/python3.5/site-packages/numpy/lib/npyio.py", line 1433, in genfromtxt
dtype = easy_dtype(dtype, defaultfmt=defaultfmt, names=names)
File "/usr/local/pyenv/versions/3.5.0/lib/python3.5/site-packages/numpy/lib/_iotools.py", line 864, in easy_dtype
ndtype = np.dtype(dict(formats=ndtype, names=names))
TypeError: data type "myint" not understood
This is my code:
import csv
import numpy
def open_with_csv(filename, d='\t'):
data = []
with open(filename, encoding='utf-8') as tsvin:
tie_reader = csv.reader(tsvin, delimiter='\t')
for line in tie_reader:
data.append(line)
return data
data_from_csv = open_with_csv('data.csv')
print(data_from_csv[0])
FIELDNAMES = ['', 'id', 'priceLabel', 'name', 'brandId', 'brandName', 'imageLink', 'desc', 'vendor', 'patterned', 'material']
DATATYPES = [('myint', 'i'), ('myid' 'i'), ('price', 'f8'), ('name', 'a200'), ('brandID', '<i8'), ('brandName', 'a200'), ('imageUrl', '|s500'), ('description', '|s900'), ('vendor', '|S100'), ('pattern', '|S500'), ('material', '|S50'), ]
def load_data(filename, d='\t'):
my_csv = numpy.genfromtxt(filename, delimiter=d, skip_header=1, invalid_raise=False, names = 'FIELDNAMES', dtype=DATATYPES)
return my_csv
my_csv= load_data('data.csv')
[MOD: added ```python markdown formatting -cf]
1 Answer

Iain Simmons
Treehouse Moderator 32,302 PointsIt should be names=FIELDNAMES
not names = 'FIELDNAMES'
:
def load_data(filename, d='\t'):
my_csv = numpy.genfromtxt(
filename, delimiter=d, skip_header=1, invalid_raise=False,
names=FIELDNAMES, dtype=DATATYPES)
return my_csv