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Exception that is raised by an error encountered in
pd.read_csv
however, it seems to be raised at least by html parsing, and perhaps other parsers as well:
pandas/pandas/tests/io/test_html.py
Lines 820 to 829 in 486e626
def test_computer_sales_page(self, datapath): | |
data = datapath('io', 'data', 'computer_sales_page.html') | |
with tm.assert_raises_regex(ParserError, | |
r"Passed header=\[0,1\] are " | |
r"too many rows for this " | |
r"multi_index of columns"): | |
self.read_html(data, header=[0, 1]) | |
data = datapath('io', 'data', 'computer_sales_page.html') | |
assert self.read_html(data, header=[1, 2]) |
As higher level point, it would be great if the list of potential runtime exceptions raised by the the various parsers were documented in the docs.