ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

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jorisvandenbossche merged 5 commits into
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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
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@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

Merged
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master
Oct 20, 2022
Merged

ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
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amoeba:master

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@amoeba

@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

@amoeba

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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A very tiny last comment

Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

Merged
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master
Oct 20, 2022
Merged

ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master

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@amoeba

@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
@amoeba

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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

@amoeba

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

@amoeba

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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A very tiny last comment

Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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, '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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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

Merged
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master
Oct 20, 2022
Merged

ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
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amoeba:master

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@amoeba

@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

@amoeba

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

@amoeba

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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A very tiny last comment

Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

Merged
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master
Oct 20, 2022
Merged

ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master

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@amoeba

@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
@amoeba

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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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MemberAuthor

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

@amoeba

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

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jorisvandenbossche merged 5 commits into
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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
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@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

@amoeba

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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A very tiny last comment

Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

Merged
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master
Oct 20, 2022
Merged

ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master

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@amoeba

@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

@amoeba

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

@amoeba

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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A very tiny last comment

Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03 - #13983

Merged
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master
Oct 20, 2022
Merged

ARROW-15006: [Python][CI][Doc] Enable numpydoc check PR03#13983
jorisvandenbossche merged 5 commits into
apache:masterfrom
amoeba:master

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@amoeba

@amoebaamoeba commented Aug 27, 2022

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Adds an additional numypdoc check to CI (PR03) and fixes all corresponding violations.

This includes one minor breaking change to parameter order in pyarrow.parquet.read_table which makes order more uniform across ParquetDataset.__new__, read_table, and read_pandas which have related signatures.

Note this does not fully resolve ARROW-15006.

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⚠️ Ticket has not been started in JIRA, please click 'Start Progress'.

Comment threadpython/pyarrow/parquet/core.py Outdated
Comment threadpython/pyarrow/_csv.pyx Outdated

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Maybe we could rather change the order in the actual signature, since it seems useful to have skip_rows and skip_rows_after_names together?

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That makes sense. And other places in pyarrow and libarrow that reference both have them grouped together. Changed in 44acfb3. Thanks.

Comment threadpython/pyarrow/parquet/core.py Outdated
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Thanks for reviewing this @jorisvandenbossche. I took your suggestion on keeping skip_rows and skip_rows_after_names together. I re-ran archery numpydoc --allow-rule PR03 which still passes. This is ready for another look.

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Thanks for the updates! There is a conflict with dataset.pyx now that needs to be resolved.

Comment threadpython/pyarrow/_dataset.pyx Outdated

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For this one, I would maybe also change the order of the signature instead, and make all keywords (except the first) keyword-only, using , *,

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MemberAuthor

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I pushed a change to address this in d04b228 that:

  • Re-orders the signatures and docstrings inside the Scanner class to be consistent and follow what I think is a sensible order
  • Makes Scanner.from_dataset, Scanner.from_fragment, and Scanner.from_batches use the above pattern to make all args except the first keyword only

Waiting on CI.

@amoeba

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Thanks @jorisvandenbossche, the conflict should now be resolved. I made an attempt at addressing your comment so let me know if that's what you were thinking. This is ready for another look when you have time.

@amoeba

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Ping @jorisvandenbossche: Any chance you have a spare moment to take a look at this again? Thanks!

@amoeba

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Sorry for the noise, I was cleaning up my fork and wiped out the commits. They've since been restored and this is ready for review.

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A very tiny last comment

Comment threadpython/pyarrow/_dataset.pyx
Comment threadpython/pyarrow/_dataset.pyx
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Thanks for the review @jorisvandenbossche. I didn't mean to remove that bit and I'm not sure how I did. Good catch! All three instances of that param docstring now have the expected text.

Ready for review/merge.

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Thanks!

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