I have a large (~400mb) csv file I am trying to open in Pandas. When I
don't specify the dtype and open it with the following command It appears
to work.
df = pd.io.parsers.read_csv(CSVFILECLEAN2013, quotechar='"',
low_memory=False, na_values='')
If I try to specify the dtype for each field I get an error but no hint as
to where I should look. I have "cleaned" the csv by checking that all
values that should be an int for a float are either blank or can be cast as
a float or a int. I guess my question is, can I get a more useful error
message or is there a hint as to where the problem is that I am not seeing.
Exception Traceback (most recent call last)
<ipython-input-2-8715d8cbaa54> in <module>()
3 import load_data
4 import numpy as np
----> 5 df2 = load_data.load('jeffco_2013')
/Users/vmd/GitHub/Jeffco-Properties/tools/load_data.py in load(data)
47 def load(data):
48 files = dict(jeffco_2013 =
'/Users/vmd/GitHub/Jeffco-Properties/Data/JeffersonCo/Datasets/2013_clean_Jeffco_ATSDTA_ATSP600.csv')
---> 49 return pd.io.parsers.read_csv(files[data], quotechar='"',
low_memory=False, na_values='', dtype=DATASHAPE)
/Users/vmd/anaconda/envs/py34/lib/python3.4/site-packages/pandas/io/parsers.py
in parser_f(filepath_or_buffer, sep, dialect, compression, doublequote,
escapechar, quotechar, quoting, skipinitialspace, lineterminator, header,
index_col, names, prefix, skiprows, skipfooter, skip_footer, na_values,
na_fvalues, true_values, false_values, delimiter, converters, dtype,
usecols, engine, delim_whitespace, as_recarray, na_filter, compact_ints,
use_unsigned, low_memory, buffer_lines, warn_bad_lines, error_bad_lines,
keep_default_na, thousands, comment, decimal, parse_dates, keep_date_col,
dayfirst, date_parser, memory_map, float_precision, nrows, iterator,
chunksize, verbose, encoding, squeeze, mangle_dupe_cols, tupleize_cols,
infer_datetime_format, skip_blank_lines)
468 skip_blank_lines=skip_blank_lines)
469
--> 470 return _read(filepath_or_buffer, kwds)
471
472 parser_f.__name__ = name
/Users/vmd/anaconda/envs/py34/lib/python3.4/site-packages/pandas/io/parsers.py
in _read(filepath_or_buffer, kwds)
254 return parser
255
--> 256 return parser.read()
257
258 _parser_defaults = {
/Users/vmd/anaconda/envs/py34/lib/python3.4/site-packages/pandas/io/parsers.py
in read(self, nrows)
713 raise ValueError('skip_footer not supported for
iteration')
714
--> 715 ret = self._engine.read(nrows)
716
717 if self.options.get('as_recarray'):
/Users/vmd/anaconda/envs/py34/lib/python3.4/site-packages/pandas/io/parsers.py
in read(self, nrows)
1162
1163 try:
-> 1164 data = self._reader.read(nrows)
1165 except StopIteration:
1166 if nrows is None:
pandas/parser.pyx in pandas.parser.TextReader.read (pandas/parser.c:7426)()
pandas/parser.pyx in pandas.parser.TextReader._read_rows
(pandas/parser.c:8484)()
pandas/parser.pyx in pandas.parser.TextReader._convert_column_data
(pandas/parser.c:9795)()
pandas/parser.pyx in pandas.parser.TextReader._convert_tokens
(pandas/parser.c:10403)()
pandas/parser.pyx in pandas.parser.TextReader._convert_with_dtype
(pandas/parser.c:11257)()
Exception: Integer column has NA values
Vincent Davis
720-301-3003
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