Create decimal type with precision and scale and 128-bit width.
Arrow decimals are fixed-point decimal numbers encoded as a scaled integer. The precision is the number of significant digits that the decimal type can represent; the scale is the number of digits after the decimal point (note the scale can be negative).
As an example, decimal128(7, 3) can exactly represent the numbers 1234.567 and -1234.567 (encoded internally as the 128-bit integers 1234567 and -1234567, respectively), but neither 12345.67 nor 123.4567.
decimal128(5, -3) can exactly represent the number 12345000 (encoded internally as the 128-bit integer 12345), but neither 123450000 nor 1234500.
If you need a precision higher than 38 significant digits, consider using decimal256.
int
Must be between 1 and 38
int
Decimal128Type
Examples
Create an instance of decimal type:
>>> import pyarrow as pa >>> pa.decimal128(5, 2) Decimal128Type(decimal128(5, 2))
Create an array with decimal type:
>>> import decimal
>>> a = decimal.Decimal('123.45')
>>> pa.array([a], pa.decimal128(5, 2))
<pyarrow.lib.Decimal128Array object at ...>
[
123.45
]
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