Suppose you are trying to read a file “temp.csv” using pandas and you get the following error.Traceback (most recent call last):File "<input>", line 1, in<module>UnicodeEncodeError: 'ascii' codec can't encode character.Which of the following would likely correct this error?Note: pandas has been imported as pdpd.read_csv(“temp.csv”, compression=’gzip’)pd.read_csv(“temp.csv”, dialect=’str’)pd.read_csv(“temp.csv”, encoding=’utf-8′)None of these

UnicodeDecodeError Traceback (most recent call last)Cell In[2], line 1----> 1 df = pd.read_csv('zomato.csv')File ~\anaconda3\Lib\site-packages\pandas\io\parsers\readers.py:912, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, 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, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 899 kwds_defaults = _refine_defaults_read( 900 dialect, 901 delimiter, (...) 908 dtype_backend=dtype_backend, 909 ) 910 kwds.update(kwds_defaults)--> 912 return _read(filepath_or_buffer, kwds)File ~\anaconda3\Lib\site-packages\pandas\io\parsers\readers.py:577, in _read(filepath_or_buffer, kwds) 574 _validate_names(kwds.get("names", None)) 576 # Create the parser.--> 577 parser = TextFileReader(filepath_or_buffer, **kwds) 579 if chunksize or iterator: 580 return parserFile ~\anaconda3\Lib\site-packages\pandas\io\parsers\readers.py:1407, in TextFileReader.__init__(self, f, engine, **kwds) 1404 self.options["has_index_names"] = kwds["has_index_names"] 1406 self.handles: IOHandles | None = None-> 1407 self._engine = self._make_engine(f, self.engine)File ~\anaconda3\Lib\site-packages\pandas\io\parsers\readers.py:1679, in TextFileReader._make_engine(self, f, engine) 1676 raise ValueError(msg) 1678 try:-> 1679 return mapping[engine](f, **self.options) 1680 except Exception: 1681 if self.handles is not None:File ~\anaconda3\Lib\site-packages\pandas\io\parsers\c_parser_wrapper.py:93, in CParserWrapper.__init__(self, src, **kwds) 90 if kwds["dtype_backend"] == "pyarrow": 91 # Fail here loudly instead of in cython after reading 92 import_optional_dependency("pyarrow")---> 93 self._reader = parsers.TextReader(src, **kwds) 95 self.unnamed_cols = self._reader.unnamed_cols 97 # error: Cannot determine type of 'names'File ~\anaconda3\Lib\site-packages\pandas\_libs\parsers.pyx:550, in pandas._libs.parsers.TextReader.__cinit__()File ~\anaconda3\Lib\site-packages\pandas\_libs\parsers.pyx:639, in pandas._libs.parsers.TextReader._get_header()File ~\anaconda3\Lib\site-packages\pandas\_libs\parsers.pyx:850, in pandas._libs.parsers.TextReader._tokenize_rows()File ~\anaconda3\Lib\site-packages\pandas\_libs\parsers.pyx:861, in pandas._libs.parsers.TextReader._check_tokenize_status()File ~\anaconda3\Lib\site-packages\pandas\_libs\parsers.pyx:2021, in pandas._libs.parsers.raise_parser_error()UnicodeDecodeError: 'utf-8' codec can't decode byte 0xed in position 7044: invalid continuation byteIn [ ]:​

x = pd.read_csv('Zomato.csv , encoding = 'unicode_escape') Cell In[7], line 1 x = pd.read_csv('Zomato.csv , encoding = 'unicode_escape') ^SyntaxError: unterminated string literal (detected at line 1)

An encoding is a translation from byte data to human readable characters. What are the most common character encodings formats?Select one or more:ASCIIUnicode (UTF-8)Object CodeByte Code

Assume that you want to read data to a Dataframe and you have written the following code. And also assume that the data file is in the local directory where you are executing the code. Select the correct line of code that will load the data.import pandas as pydatafile_name = 'my-data.csv'col_name = ['name','age','salary','location','class']dataset = pydata.read_csv(file_name, names = col_name)dataset = pd.read_csv(file_name, names = col_name)dataset = pydata.read_csv(url, names = col_name)pydata.read_csv(file_name, names = col_name)

An encoding is a translation from byte data to human readable characters. What are the most common character encodings formats?Select one or more:ASCIIUnicode (UTF-8)Byte CodeObject Code