Pandas throws ParserError on one computer but not on another
1
Here's the code I have, which works perfectly fine on my friend's computer:
#!/usr/bin/python
import pandas as pd
df = pd.read_csv("report.csv")
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
Here's the error I receive on mine:
Traceback (most recent call last):
File "./agent_calls_report.py", line 10, in <module>
df = pd.read_csv("report.csv")
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 446, in _read
data = parser.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1036, in read
ret = self._engine.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1848, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._read_low_memory
File "pandas/_libs/parsers.pyx", line 945, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 932, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 2112, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 34 fields in line 3, saw 35
Any idea why this would work on one computer and not another? Edit: I've confirmed that we are using the same versions of both Python (3.7.1) and Pandas, the only difference is that he has a Mac while I'm on Linux.
python python-3.x pandas
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
add a comment |
1
Here's the code I have, which works perfectly fine on my friend's computer:
#!/usr/bin/python
import pandas as pd
df = pd.read_csv("report.csv")
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
Here's the error I receive on mine:
Traceback (most recent call last):
File "./agent_calls_report.py", line 10, in <module>
df = pd.read_csv("report.csv")
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 446, in _read
data = parser.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1036, in read
ret = self._engine.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1848, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._read_low_memory
File "pandas/_libs/parsers.pyx", line 945, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 932, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 2112, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 34 fields in line 3, saw 35
Any idea why this would work on one computer and not another? Edit: I've confirmed that we are using the same versions of both Python (3.7.1) and Pandas, the only difference is that he has a Mac while I'm on Linux.
python python-3.x pandas
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
add a comment |
1
1
1
Here's the code I have, which works perfectly fine on my friend's computer:
#!/usr/bin/python
import pandas as pd
df = pd.read_csv("report.csv")
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
Here's the error I receive on mine:
Traceback (most recent call last):
File "./agent_calls_report.py", line 10, in <module>
df = pd.read_csv("report.csv")
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 446, in _read
data = parser.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1036, in read
ret = self._engine.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1848, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._read_low_memory
File "pandas/_libs/parsers.pyx", line 945, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 932, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 2112, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 34 fields in line 3, saw 35
Any idea why this would work on one computer and not another? Edit: I've confirmed that we are using the same versions of both Python (3.7.1) and Pandas, the only difference is that he has a Mac while I'm on Linux.
python python-3.x pandas
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
Here's the code I have, which works perfectly fine on my friend's computer:
#!/usr/bin/python
import pandas as pd
df = pd.read_csv("report.csv")
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
Here's the error I receive on mine:
Traceback (most recent call last):
File "./agent_calls_report.py", line 10, in <module>
df = pd.read_csv("report.csv")
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 446, in _read
data = parser.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1036, in read
ret = self._engine.read(nrows)
File "/usr/lib/python3.7/site-packages/pandas/io/parsers.py", line 1848, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._read_low_memory
File "pandas/_libs/parsers.pyx", line 945, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 932, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 2112, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 34 fields in line 3, saw 35
Any idea why this would work on one computer and not another? Edit: I've confirmed that we are using the same versions of both Python (3.7.1) and Pandas, the only difference is that he has a Mac while I'm on Linux.
python python-3.x pandas
python python-3.x pandas
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
asked Nov 28 '18 at 23:29
Some Dude From the InternetSome Dude From the Internet
246
246
add a comment |
add a comment |
1 Answer
1
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I believe this is a problem with encoding
try this :
import pandas as pd
df = pd.read_csv("report.csv",encoding='cp1252')
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
There are other encoding options you can try utf-8 instead of cp1252.
Here is a list of encodings used.
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
1
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
add a comment |
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1 Answer
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0
I believe this is a problem with encoding
try this :
import pandas as pd
df = pd.read_csv("report.csv",encoding='cp1252')
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
There are other encoding options you can try utf-8 instead of cp1252.
Here is a list of encodings used.
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
1
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
add a comment |
0
I believe this is a problem with encoding
try this :
import pandas as pd
df = pd.read_csv("report.csv",encoding='cp1252')
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
There are other encoding options you can try utf-8 instead of cp1252.
Here is a list of encodings used.
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
1
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
add a comment |
0
0
0
I believe this is a problem with encoding
try this :
import pandas as pd
df = pd.read_csv("report.csv",encoding='cp1252')
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
There are other encoding options you can try utf-8 instead of cp1252.
Here is a list of encodings used.
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
I believe this is a problem with encoding
try this :
import pandas as pd
df = pd.read_csv("report.csv",encoding='cp1252')
df = df.drop("Agent Name", axis=1)
df.to_csv("agent_report_updated.csv")
There are other encoding options you can try utf-8 instead of cp1252.
Here is a list of encodings used.
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
answered Nov 28 '18 at 23:46
Aditya LahiriAditya Lahiri
1937
1937
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
1
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
add a comment |
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
1
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
Appreciate the answer, but it doesn't look like that resolved it. I'm starting to think this is either a bug with Pandas, or something changed in 3.7.1 that's breaking the interaction. I tried this using 3.7.0 and it worked okay.
– Some Dude From the Internet
Nov 28 '18 at 23:49
1
1
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I see, did you try applying some of the answers here ?stackoverflow.com/questions/18039057/…
– Aditya Lahiri
Nov 28 '18 at 23:53
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
I had tried a few, but the comment there about deleting a particular column ended up being the correct answer. Thank you for your help!
– Some Dude From the Internet
Nov 29 '18 at 0:03
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
That sounds good.
– Aditya Lahiri
Nov 29 '18 at 0:05
add a comment |
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