Self.fetch_command(subcommand).run_from_argv(self.argv)įile "/app/.heroku/python/lib/python3.6/site-packages/newrelic/hooks/framework_django.py", line 988, in _nr_wrapper_BaseCommand_run_from_argv_įile "/app/.heroku/python/lib/python3.6/site-packages/django/core/management/base.py", line 283, in run_from_argvįile "/app/.heroku/python/lib/python3.6/site-packages/django/core/management/base.py", line 330, in executeįile "/app/.heroku/python/lib/python3.6/site-packages/newrelic/api/function_trace.py", line 139, in literal_wrapperįile "/app/treeherder/model/management/commands/cycle_data.py", line 62, in handleįile "/app/treeherder/model/models.py", line 461, in cycle_data What’s new in 1.3.Over the weekend I tried out the Python 3 branch on prototype.ĭuring that time, cycle_data failed with: Traceback (most recent call last):įile "/app/.heroku/python/lib/python3.6/site-packages/django/core/management/_init_.py", line 364, in execute_from_command_lineįile "/app/.heroku/python/lib/python3.6/site-packages/django/core/management/_init_.py", line 356, in execute.BUG: read_csv does not raise UnicodeDecodeError on non utf-8 characters.Pandas read_csv and encoding can be used 'unicode_escape' as: df = pd.read_csv(file, encoding='unicode_escape') Beware that Python source code actually uses UTF-8 by default. It can be described as:Įncoding suitable as the contents of a Unicode literal in ASCII-encoded Python source code, except that quotes are not escaped. The final solution to fix encoding errors like: Pandas UnicodeEncodeError: 'charmap' codec can't encode character Step 4: Solution of UnicodeDecodeError: fix encoding errors with unicode_escape UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe4 in position 0: invalid continuation byteĪnother possible encoding error which can be raised by the same parameter is: To prevent Pandas read_csv reading incorrect CSV data due to encoding use: encoding_errors='strinct' - which is the default behavior: df = pd.read_csv(file, encoding_errors='strict') Let's demonstrate how parameter of read_csv - encoding_errors works: from pathlib import Pathįile = Path('./data/csv/file_utf-8.csv')įile.write_bytes(b"\xe4\na\n1") # non utf-8 characterĭf = pd.read_csv(file, encoding_errors='ignore') encoding has no longer an influence on how encoding errors are handled. Note: Important change in the new versions of Pandas:Ĭhanged in version 1.3.0: encoding_errors is a new argument.
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