test_pandas_output_parser_special_ops() — langchain Function Reference
Architecture documentation for the test_pandas_output_parser_special_ops() function in test_pandas_dataframe_parser.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 51bafc1a_575d_35cd_f593_85ca7c17991a["test_pandas_output_parser_special_ops()"] 5c33c708_b9fe_6a38_ae59_ce55c90ae8fc["test_pandas_dataframe_parser.py"] 51bafc1a_575d_35cd_f593_85ca7c17991a -->|defined in| 5c33c708_b9fe_6a38_ae59_ce55c90ae8fc style 51bafc1a_575d_35cd_f593_85ca7c17991a fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain/tests/unit_tests/output_parsers/test_pandas_dataframe_parser.py lines 77–100
def test_pandas_output_parser_special_ops() -> None:
actual_output = [
{"mean": 3.0},
{"median": 3.0},
{"min": 2},
{"max": 4},
{"var": 1.0},
{"std": 1.0},
{"count": 3},
{"quantile": 3.0},
]
expected_output = [
parser.parse("mean:chicken[1..3]"),
parser.parse("median:chicken[1..3]"),
parser.parse("min:chicken[1..3]"),
parser.parse("max:chicken[1..3]"),
parser.parse("var:chicken[1..3]"),
parser.parse("std:chicken[1..3]"),
parser.parse("count:chicken[1..3]"),
parser.parse("quantile:chicken[1..3]"),
]
assert actual_output == expected_output
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Frequently Asked Questions
What does test_pandas_output_parser_special_ops() do?
test_pandas_output_parser_special_ops() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/output_parsers/test_pandas_dataframe_parser.py.
Where is test_pandas_output_parser_special_ops() defined?
test_pandas_output_parser_special_ops() is defined in libs/langchain/tests/unit_tests/output_parsers/test_pandas_dataframe_parser.py at line 77.
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