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Support None comparison for nulls #1483

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@ntjohnson1
ntjohnson1
opened on Apr 9, 2026

Is your feature request related to a problem or challenge? Please describe what you are trying to do.

>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1

Describe the solution you'd like
I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.

Describe alternatives you've considered
.is_null

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Support None comparison for nulls · Issue #1483 · apache/datafusion-python · GitHub
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Support None comparison for nulls #1483
Closed
#1489
Closed
Support None comparison for nulls#1483
#1489
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zeel2104
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Description
@ntjohnson1
ntjohnson1
opened on Apr 9, 2026
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1
Describe the solution you'd like

I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.
Describe alternatives you've considered
.is_null
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var __m = "*";
var __re = new RegExp('^' + ".*" + '
Support None comparison for nulls · Issue #1483 · apache/datafusion-python · GitHub
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Support None comparison for nulls #1483
Closed
#1489
Closed
Support None comparison for nulls#1483
#1489
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zeel2104
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Description
@ntjohnson1
ntjohnson1
opened on Apr 9, 2026
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1
Describe the solution you'd like

I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.
Describe alternatives you've considered
.is_null
Metadata
Metadata
Assignees
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enhancementNew feature or requestgood first issueGood for newcomers
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Support None comparison for nulls · Issue #1483 · apache/datafusion-python · GitHub
Skip to content
Support None comparison for nulls #1483
Closed
#1489
Closed
Support None comparison for nulls#1483
#1489
Assignees
zeel2104
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Description
@ntjohnson1
ntjohnson1
opened on Apr 9, 2026
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1
Describe the solution you'd like

I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.
Describe alternatives you've considered
.is_null
Metadata
Metadata
Assignees
Labels
enhancementNew feature or requestgood first issueGood for newcomers
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Development
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var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Support None comparison for nulls · Issue #1483 · apache/datafusion-python · GitHub
Skip to content
Support None comparison for nulls #1483
Closed
#1489
Closed
Support None comparison for nulls#1483
#1489
Assignees
zeel2104
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Description
@ntjohnson1
ntjohnson1
opened on Apr 9, 2026
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1
Describe the solution you'd like

I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.
Describe alternatives you've considered
.is_null
Metadata
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enhancementNew feature or requestgood first issueGood for newcomers
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Support None comparison for nulls · Issue #1483 · apache/datafusion-python · GitHub
Skip to content
Support None comparison for nulls #1483
Closed
#1489
Closed
Support None comparison for nulls#1483
#1489
Assignees
zeel2104
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Description
@ntjohnson1
ntjohnson1
opened on Apr 9, 2026
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1
Describe the solution you'd like

I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.
Describe alternatives you've considered
.is_null
Metadata
Metadata
Assignees
Labels
enhancementNew feature or requestgood first issueGood for newcomers
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Support None comparison for nulls · Issue #1483 · apache/datafusion-python · GitHub
Skip to content
Support None comparison for nulls #1483
Closed
#1489
Closed
Support None comparison for nulls#1483
#1489
Assignees
zeel2104
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Description
@ntjohnson1
ntjohnson1
opened on Apr 9, 2026
Is your feature request related to a problem or challenge? Please describe what you are trying to do.
>>>importdatafusionasdfn>>>ctx=dfn.SessionContext()
>>>df=ctx.from_pydict({"a": [1, 2, None]})
>>>df.filter(dfn.col("a") isNone).count()
Traceback (mostrecentcalllast):
File"<stdin>", line1, in<module>File"<path>/lib/python3.12/site-packages/datafusion/dataframe.py", line499, infilterdf=df.filter(ensure_expr(expr))
^^^^^^^^^^^^^^^^^File"<path>/lib/python3.12/site-packages/datafusion/expr.py", line250, inensure_exprraiseTypeError(EXPR_TYPE_ERROR)
TypeError: Usecol()/column() orlit()/literal() toconstructexpressions>>>df.filter(dfn.col("a") ==None).count()
0>>>df.filter(dfn.col("a").is_null()).count()
1
Describe the solution you'd like

I'd like to be able to compare against None like we can do with other scalar types. Ideally using both == and is semantics.
Describe alternatives you've considered
.is_null
Metadata
Metadata
Assignees
Labels
enhancementNew feature or requestgood first issueGood for newcomers
Type
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Projects
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Milestone
No milestone
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Development
No branches or pull requests
Issue actions