![]() ![]() Jupyter Notebook stores Python code in notebooks, which have the. ![]() I have also made sure that the csv file is stored in the same storage bucket as attached to the data proc and have made sure that the file is in UTF-8-Encoded csv formatĬan anyone please help me how to read the files stored in google bucket from jupyter notebook running on a dataproc cluster in google cloud.In this class, we will mostly be using Jupyter Notebook to run Python code. Location path for the CSV file gs://dataproc-78r5fe64b-a56d-4f5f4-bcf9-e1b7t6fb9d8f-au-southeast1/notebooks/datafile.csv Pandas/_libs/parsers.pyx in pandas._._setup_parser_source()įileNotFoundError: File b'gs://dataproc-78r5fe64b-a56d-4f5f4-bcf9-e1b7t6fb9d8f-au-southeast1/notebooks/datafile.csv' does not exist Pandas/_libs/parsers.pyx in pandas._._cinit_() > 1708 self._reader = parsers.TextReader(src, **kwds) opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in _init_(self, src, **kwds) > 1014 self._engine = CParserWrapper(self.f, **self.options) opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine(self, engine) opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in _init_(self, f, engine, **kwds)ħ85 self.options = kwds > 440 parser = TextFileReader(filepath_or_buffer, **kwds) opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds) > 678 return _read(filepath_or_buffer, kwds) opt/conda/lib/python3.6/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, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision) I am unable to read the csv files stored on the google cloud storage bucket, however I am able to read the same files when I work on Spark Shellīelow is the error code I am getting import pandas as pdĭata = pd.read_csv("gs://dataproc-78r5fe64b-a56d-4f5f4-bcf9-e1b7t6fb9d8f-au-southeast1/notebooks/datafile.csv")įileNotFoundError Traceback (most recent call last) I am working on a Data Proc Spark cluster with an initialization action to install Jupyter notebook. ![]()
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