[supernoob2] Trying Numpy and THIS happened...

[sidon]

I'm playing around with numpy trying to get an idea of what it can do, but I get an error and can't figure out what's happening for the sake of me:

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PyDev console: starting. Python 3.7.3 (default, Jun 24 2019, 04:54:02) [GCC 9.1.0] on linux import numpy as np import pandas as pd filename = '/home/abc/weatherlib.txt' df = pd.read_csv(filename) Traceback (most recent call last):   File "<input>", line 1, in <module>   File "/home/abc/PycharmProjects/calculator/venv/lib/python3.7/site-packages/pandas/io/parsers.py", line 685, in parser_f     return _read(filepath_or_buffer, kwds)   File "/home/abc/PycharmProjects/calculator/venv/lib/python3.7/site-packages/pandas/io/parsers.py", line 463, in _read     data = parser.read(nrows)   File "/home/abc/PycharmProjects/calculator/venv/lib/python3.7/site-packages/pandas/io/parsers.py", line 1154, in read     ret = self._engine.read(nrows)   File "/home/abc/PycharmProjects/calculator/venv/lib/python3.7/site-packages/pandas/io/parsers.py", line 2048, in read     data = self._reader.read(nrows)   File "pandas/_libs/parsers.pyx", line 879, in pandas._libs.parsers.TextReader.read   File "pandas/_libs/parsers.pyx", line 894, in pandas._libs.parsers.TextReader._read_low_memory   File "pandas/_libs/parsers.pyx", line 948, in pandas._libs.parsers.TextReader._read_rows   File "pandas/_libs/parsers.pyx", line 935, in pandas._libs.parsers.TextReader._tokenize_rows   File "pandas/_libs/parsers.pyx", line 2130, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 75, saw 7

what am I doing wrong this time?

[ichabod801]

It looks like your csv file is messed up, with an inconsistent number of fields (commas) per line. Check out line 75 of the csv file, and compare it to the previous lines.

[sidon]

It looks like your csv file is messed up, with an inconsistent number of fields (commas) per line. Check out line 75 of the csv file, and compare it to the previous lines.

thanks!