GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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Merged
jorisvandenbossche merged 4 commits into from
May 11, 2023
Merged

GH-35490: [Python] Interchange protocol: update tests for string and large_string #35504

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087a8f1
Remove test_pandas_assertion_error_large_string and update test_round…
AlenkaF May 9, 2023
63da72c
Linter correction
AlenkaF May 9, 2023
840bac9
Correct the test
AlenkaF May 9, 2023
5f05027
Add test for missing values support and restructure string tests
AlenkaF May 10, 2023
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99 changes: 75 additions & 24 deletions python/pyarrow/tests/interchange/test_conversion.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
if Version(pd.__version__) < Version("1.6"):
pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.
Outdated
table = pa.table({"a": pa.array(arr)})

from pandas.api.interchange import (
from_dataframe as pandas_from_dataframe
)

pandas_df = pandas_from_dataframe(table)
result = pi.from_dataframe(pandas_df)

assert result[0].to_pylist() == table[0].to_pylist()
assert pa.types.is_string(table[0].type)
assert pa.types.is_large_string(result[0].type)
assert result["a"].to_pylist() == table["a"].to_pylist()
assert pa.types.is_string(table["a"].type)
assert pa.types.is_large_string(result["a"].type)

table_protocol = table.__dataframe__()
result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
# See https://github.com/pandas-dev/pandas/issues/50554
if Version(pd.__version__) < Version("1.6"):
pytest.skip(" Column.size() called as a method in pandas 2.0.0")

arr = ["a", "", "c"]
table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

from pandas.api.interchange import (
from_dataframe as pandas_from_dataframe
)

if Version(pd.__version__) >= Version("2.0.1"):
pandas_df = pandas_from_dataframe(table)
result = pi.from_dataframe(pandas_df)

assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
assert pa.types.is_large_string(table["a_large"].type)
assert pa.types.is_large_string(result["a_large"].type)

table_protocol = table.__dataframe__()
result_protocol = result.__dataframe__()

assert table_protocol.num_columns() == result_protocol.num_columns()
assert table_protocol.num_rows() == result_protocol.num_rows()
assert table_protocol.num_chunks() == result_protocol.num_chunks()
assert table_protocol.column_names() == result_protocol.column_names()

else:
# large string not supported by pandas implementation for
# older versions of pandas
# https://github.com/pandas-dev/pandas/issues/52795
with pytest.raises(AssertionError):
pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
# See https://github.com/pandas-dev/pandas/issues/50554
if Version(pd.__version__) < Version("1.6"):
pytest.skip(" Column.size() called as a method in pandas 2.0.0")

arr = ["a", "", "c", None]
table = pa.table({"a": pa.array(arr),
"a_large": pa.array(arr, type=pa.large_string())})

from pandas.api.interchange import (
from_dataframe as pandas_from_dataframe
)

if Version(pd.__version__) >= Version("2.0.2"):
pandas_df = pandas_from_dataframe(table)
result = pi.from_dataframe(pandas_df)

assert result["a"].to_pylist() == table["a"].to_pylist()
assert pa.types.is_string(table["a"].type)
assert pa.types.is_large_string(result["a"].type)

assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
assert pa.types.is_large_string(table["a_large"].type)
assert pa.types.is_large_string(result["a_large"].type)
else:
# older versions of pandas do not have bitmask support
# https://github.com/pandas-dev/pandas/issues/49888
with pytest.raises(NotImplementedError):
pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
# Test AssertionError as pandas does not support "U" type strings
if Version(pd.__version__) < Version("1.5.0"):
pytest.skip("__dataframe__ added to pandas in 1.5.0")

data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
arr = pa.array(data, type=pa.large_string())
table = pa.table([arr], names=["large_string"])

from pandas.api.interchange import (
from_dataframe as pandas_from_dataframe
)

with pytest.raises(AssertionError):
pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
"np_float", [np.float32, np.float64]
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
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087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
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087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
 Changes from all commits
Commits

Show all changes


4 commits


Select commit
Hold shift + click to select a range
087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
 Changes from all commits
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087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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to your account

 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
 Changes from all commits
Commits

Show all changes


4 commits


Select commit
Hold shift + click to select a range
087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
 Changes from all commits
Commits

Show all changes


4 commits


Select commit
Hold shift + click to select a range
087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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GH-35490: [Python] Interchange protocol: update tests for string and large_string#35504

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 Merged

jorisvandenbossche
merged 4 commits into

from

May 11, 2023
 Merged


GH-35490: [Python] Interchange protocol: update tests for string and large_string
#35504
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087a8f1

Remove test_pandas_assertion_error_large_string and update test_round…


AlenkaF May 9, 2023
63da72c

Linter correction


AlenkaF May 9, 2023
840bac9

Correct the test


AlenkaF May 9, 2023
5f05027

Add test for missing values support and restructure string tests


AlenkaF May 10, 2023

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99 changes: 75 additions & 24 deletions
python/pyarrow/tests/interchange/test_conversion.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -194,18 +194,19 @@ def test_roundtrip_pandas_string():
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

# large string is not supported by pandas implementation
 table = pa.table({"a": pa.array(["a", "", "c"])})
arr = ["a", "", "c"]
Comment thread
AlenkaF marked this conversation as resolved.


Outdated

 table = pa.table({"a": pa.array(arr)})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result[0].to_pylist() == table[0].to_pylist()
 assert pa.types.is_string(table[0].type)
 assert pa.types.is_large_string(result[0].type)
 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()
Expand All@@ -216,6 +217,75 @@ def test_roundtrip_pandas_string():
 assert table_protocol.column_names() == result_protocol.column_names()


@pytest.mark.pandas
def test_roundtrip_pandas_large_string():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c"]
 table = pa.table({"a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.1"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)

 table_protocol = table.__dataframe__()
 result_protocol = result.__dataframe__()

 assert table_protocol.num_columns() == result_protocol.num_columns()
 assert table_protocol.num_rows() == result_protocol.num_rows()
 assert table_protocol.num_chunks() == result_protocol.num_chunks()
 assert table_protocol.column_names() == result_protocol.column_names()

 else:
 # large string not supported by pandas implementation for
 # older versions of pandas
 # https://github.com/pandas-dev/pandas/issues/52795
 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_string_with_missing():
 # See https://github.com/pandas-dev/pandas/issues/50554
 if Version(pd.__version__) < Version("1.6"):
 pytest.skip(" Column.size() called as a method in pandas 2.0.0")

 arr = ["a", "", "c", None]
 table = pa.table({"a": pa.array(arr),
 "a_large": pa.array(arr, type=pa.large_string())})

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 if Version(pd.__version__) >= Version("2.0.2"):
 pandas_df = pandas_from_dataframe(table)
 result = pi.from_dataframe(pandas_df)

 assert result["a"].to_pylist() == table["a"].to_pylist()
 assert pa.types.is_string(table["a"].type)
 assert pa.types.is_large_string(result["a"].type)

 assert result["a_large"].to_pylist() == table["a_large"].to_pylist()
 assert pa.types.is_large_string(table["a_large"].type)
 assert pa.types.is_large_string(result["a_large"].type)
 else:
 # older versions of pandas do not have bitmask support
 # https://github.com/pandas-dev/pandas/issues/49888
 with pytest.raises(NotImplementedError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
def test_roundtrip_pandas_boolean():
 if Version(pd.__version__) < Version("1.5.0"):
Expand DownExpand Up@@ -276,25 +346,6 @@ def test_roundtrip_pandas_datetime(unit):
 assert expected_protocol.column_names() == result_protocol.column_names()


@pytest.mark.large_memory
@pytest.mark.pandas
def test_pandas_assertion_error_large_string():
 # Test AssertionError as pandas does not support "U" type strings
 if Version(pd.__version__) < Version("1.5.0"):
 pytest.skip("__dataframe__ added to pandas in 1.5.0")

 data = np.array([b'x'*1024]*(3*1024**2), dtype='object') # 3GB bytes data
 arr = pa.array(data, type=pa.large_string())
 table = pa.table([arr], names=["large_string"])

 from pandas.api.interchange import (
 from_dataframe as pandas_from_dataframe
 )

 with pytest.raises(AssertionError):
 pandas_from_dataframe(table)


@pytest.mark.pandas
@pytest.mark.parametrize(
 "np_float", [np.float32, np.float64]
Expand Down