I'm trying to import this csv into pandas, but I'm getting an error. Here's my code:
import pandas as pd
df = pd.read_csv("cc-est2019-alldata.csv")
When I run it, I get this error:
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas/_libs/parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf1 in position 2: invalid continuation byte
During handling of the above exception, another exception occurred:
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-11-b0630f0e9978> in <module>
----> 1 df = pd.read_csv("cc-est2019-alldata.csv")
/opt/anaconda3/lib/python3.7/site-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
/opt/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
452
453 try:
--> 454 data = parser.read(nrows)
455 finally:
456 parser.close()
/opt/anaconda3/lib/python3.7/site-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
/opt/anaconda3/lib/python3.7/site-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._convert_column_data()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas/_libs/parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf1 in position 2: invalid continuation byte
What does this mean and how can I fix it? I tried using the solution explained here, but it didn't work out: https://www.kaggle.com/paultimothymooney/how-to-resolve-a-unicodedecodeerror-for-a-csv-file .
Here's a link to the csv (warning, the file is 170mb): https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/asrh/cc-est2019-alldata.csv
How can I solve this error?
Thanks in advance.
Try it with this encoding:
df = pd.read_csv("cc-est2019-alldata.csv", encoding='latin1')
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