feat: read_csv
#1551
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feat: read_csv
#1551
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narwhals/functions.py
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| >>> agnostic_read_csv(native_namespace=pd) # doctest:+SKIP | ||
| >>> agnostic_read_csv(native_namespace=pl) # doctest:+SKIP | ||
| >>> agnostic_read_csv(native_namespace=pa) # doctest:+SKIP |
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even though the example is being skipped, can we still show a sample dataframe as output?
like
a b
0 1 4
1 2 5
2 3 6
for pandas
shape: (3, 2)
┌─────┬─────┐
│ a ┆ b │
│ --- ┆ --- │
│ i64 ┆ i64 │
╞═════╪═════╡
│ 1 ┆ 4 │
│ 2 ┆ 5 │
│ 3 ┆ 6 │
└─────┴─────┘
for polars
pyarrow.Table
a: int64
b: int64
----
a: [[1,2,3]]
b: [[4,5,6]]
for pyarrow
?
tests/read_csv_test.py
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| def test_read_csv( | ||
| tmpdir: pytest.TempdirFactory, | ||
| constructor: Constructor, |
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shall we just use constructor_eager, is this is only implemented in the eager case anyway?
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| result = nw_v1.read_csv(filepath, native_namespace=native_namespace) | ||
| assert_equal_data(result, data) |
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can we also check that result is a nw_v1.DataFrame? (isinstance)
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