07.1 Text Classification & 07.2 Emoji Suggestions -- ModuleNotFoundError: No module named 'nb_utils'

[mikechen66]

Hi Douwe:

How to deal with the issue? There are many applications have the module of nb_utils in Deep Learning Cookbook. Beside of 07.1, 07.2 Emoji Suggestions has the same issue. Would you please solve the issue?

import pandas as pd from keras.utils.data_utils import get_file import nb_utils

emotion_csv = get_file('text_emotion.csv', 'https://www.crowdflower.com/wp-content/uploads/2016/07/text_emotion.csv') emotion_df = pd.read_csv(emotion_csv)

Using TensorFlow backend.

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ModuleNotFoundError Traceback (most recent call last)

in 1 import pandas as pd 2 from keras.utils.data_utils import get_file ----> 3 import nb_utils 4 5 emotion_csv = get_file('text_emotion.csv', ModuleNotFoundError: No module named 'nb_utils' Best regards, Mike

[DOsinga]

Thanks for flagging. I'll have a look!

[mikechen66]

Hi Douwe:

I solve the issue after uploading nb_utils.py and change the directory name from deep_learning_cookbook-master to dl-cookbook.

Since the downloaded document is deep_learning_cookbook-master, but nb_utils.py includes the name of dl-cookbook. So the two names have a conflict.

Best regards,

Mike

[mikechen66]

After solving the issue of nb_utils, a new issue emerges. I address the issue and its related solution.

Issue of Parsing:

emotion_csv = get_file('text_emotion.csv', 'https://raw.githubusercontent.com/johnvblazic/emotionDetectionDataset/master/text_emotion.csv')

Soluton:

I solve it with the downloaded text_emotion.csv. The download address is https://github.com/johnvblazic/emotionDetectionDataset. I am pleased to provide the related line of code as follows.

emotion_csv = '/home/user/Documents/dl-cookbook/data/text_emotion.csv'

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the error message related to the Issue or Parsing:

ParserError Traceback (most recent call last)

in 5 emotion_csv = get_file('text_emotion.csv', 6 'https://www.crowdflower.com/wp-content/uploads/2016/07/text_emotion.csv') ----> 7 emotion_df = pd.read_csv(emotion_csv) /usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision) 674 ) 675 --> 676 return _read(filepath_or_buffer, kwds) 677 678 parser_f.__name__ = name /usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds) 452 453 try: --> 454 data = parser.read(nrows) 455 finally: 456 parser.close() /usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in read(self, nrows) 1131 def read(self, nrows=None): 1132 nrows = _validate_integer("nrows", nrows) -> 1133 ret = self._engine.read(nrows) 1134 1135 # May alter columns / col_dict /usr/local/lib/python3.6/dist-packages/pandas/io/parsers.py in read(self, nrows) 2035 def read(self, nrows=None): 2036 try: -> 2037 data = self._reader.read(nrows) 2038 except StopIteration: 2039 if self._first_chunk: pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows() pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error() ParserError: Error tokenizing data. C error: Expected 15 fields in line 17, saw 25