pyarrow.dataset.Expression¶

class pyarrow.dataset.Expression¶

Bases: _Weakrefable

A logical expression to be evaluated against some input.

To create an expression:

Use the factory function pyarrow.compute.scalar() to create a scalar (not necessary when combined, see example below).
Use the factory function pyarrow.compute.field() to reference a field (column in table).
Compare fields and scalars with <, <=, ==, >=, >.
Combine expressions using python operators & (logical and), | (logical or) and ~ (logical not). Note: python keywords and, or and not cannot be used to combine expressions.
Create expression predicates using Expression methods such as pyarrow.compute.Expression.isin().

Examples

>>> import pyarrow.compute as pc
>>> (pc.field("a") < pc.scalar(3)) | (pc.field("b") > 7)
<pyarrow.compute.Expression ((a < 3) or (b > 7))>
>>> pc.field('a') != 3
<pyarrow.compute.Expression (a != 3)>
>>> pc.field('a').isin([1, 2, 3])
<pyarrow.compute.Expression is_in(a, {value_set=int64:[
  1,
  2,
  3
], skip_nulls=false})>

__init__(*args, **kwargs)¶

Methods

`__init__`(args, *kwargs)
`cast`(self[, type, safe, options])	Explicitly set or change the expression's data type.
`equals`(self, Expression other)
`is_nan`(self)	Check whether the expression is NaN.
`is_null`(self, bool nan_is_null=False)	Check whether the expression is null.
`is_valid`(self)	Check whether the expression is not-null (valid).
`isin`(self, values)	Check whether the expression is contained in values.

cast(self, type=None, safe=None, options=None)¶

Explicitly set or change the expression’s data type.

This creates a new expression equivalent to calling the cast compute function on this expression.

Parameters:

typeDataType, default None: Type to cast array to.
safebool, default True: Whether to check for conversion errors such as overflow.
optionsCastOptions, default None: Additional checks pass by CastOptions

Returns:

castExpression

equals(self, Expression other)¶

is_nan(self)¶

Check whether the expression is NaN.

This creates a new expression equivalent to calling the is_nan compute function on this expression.

Returns:

is_nanExpression

is_null(self, bool nan_is_null=False)¶

Check whether the expression is null.

This creates a new expression equivalent to calling the is_null compute function on this expression.

Parameters:

nan_is_nullbool, default False: Whether floating-point NaNs are considered null.

Returns:

is_nullExpression

is_valid(self)¶

Check whether the expression is not-null (valid).

This creates a new expression equivalent to calling the is_valid compute function on this expression.

Returns:

is_validExpression

isin(self, values)¶

Check whether the expression is contained in values.

This creates a new expression equivalent to calling the is_in compute function on this expression.

Parameters:

valuesArray or iterable: The values to check for.

Returns:

isinExpression: A new expression that, when evaluated, checks whether this expression’s value is contained in values.

pyarrow.dataset.Scanner

pyarrow.dataset.InMemoryDataset