I'm reading a 1 GB CSV file in chunks of 10,000 rows. The file has 1106012 rows and 171 columns, other smaller sized file does not show any error and finish off successfully but when i read this 1 GB file it shows error every time on exactly line number 1106011 which is a second last line of file, i can manually remove that line but that is not the solution because i have hundreds of other file of that same size and i cannot fix all the lines manually. can anyone help me with that please.
def extract_csv_to_sql(input_file_name, header_row, size_of_chunk, eachRow):
df = pd.read_csv(input_file_name,
header=None,
nrows=size_of_chunk,
skiprows=eachRow,
low_memory=False,
error_bad_lines=False,
sep=',')
# engine='python'
# quoting=csv.QUOTE_NONE
# encoding='utf-8'
df.columns = header_row
df = df.drop_duplicates(keep='first')
df = df.apply(lambda x: x.astype(str).str.lower())
return df
I'm then calling this function within a loop and works just fine.
huge_chunk_return = extract_csv_to_sql(huge_input_filename, huge_header_row, the_size_of_chunk_H, each_Row_H)
I read this Pandas ParserError EOF character when reading multiple csv files to HDF5, this read_csv() & EOF character in string cause parsing issue and this https://github.com/pandas-dev/pandas/issues/11654 and many more and tried to include read_csv parameter such as
engine='python'
quoting=csv.QUOTE_NONE // Hangs and even the python shell, don't know why
encoding='utf-8'
but none of it worked, its still throwing the following error
Error:
Traceback (most recent call last):
File "C:\Users\WCan\Desktop\wcan_new_python\pandas_test_3.py", line 115, in <module>
huge_chunk_return = extract_csv_to_sql(huge_input_filename, huge_header_row, the_size_of_chunk_H, each_Row_H)
File "C:\Users\WCan\Desktop\wcan_new_python\pandas_test_3.py", line 24, in extract_csv_to_sql
sep=',')
File "C:\Users\WCan\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\io\parsers.py", line 655, in parser_f
return _read(filepath_or_buffer, kwds)
File "C:\Users\WCan\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\io\parsers.py", line 411, in _read
data = parser.read(nrows)
File "C:\Users\WCan\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\io\parsers.py", line 1005, in read
ret = self._engine.read(nrows)
File "C:\Users\WCan\AppData\Local\Programs\Python\Python36\lib\site-packages\pandas\io\parsers.py", line 1748, in read
data = self._reader.read(nrows)
File "pandas\_libs\parsers.pyx", line 893, in pandas._libs.parsers.TextReader.read (pandas\_libs\parsers.c:10885)
File "pandas\_libs\parsers.pyx", line 966, in pandas._libs.parsers.TextReader._read_rows (pandas\_libs\parsers.c:11884)
File "pandas\_libs\parsers.pyx", line 953, in pandas._libs.parsers.TextReader._tokenize_rows (pandas\_libs\parsers.c:11755)
File "pandas\_libs\parsers.pyx", line 2184, in pandas._libs.parsers.raise_parser_error (pandas\_libs\parsers.c:28765)
pandas.errors.ParserError: Error tokenizing data. C error: EOF inside string starting at line 1106011
>>>