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Supported features

Source: vignettes/features.qmd

Data types

The following data types are supported:

  • |?

  • |b1

  • >f2

  • <f2

  • >f4

  • <f4

  • >f8

  • <f8

  • |i1

  • <i2

  • >i2

  • >i4

  • <i4

  • >i8

  • <i8

  • |O

  • |u1

  • >u2

  • <u2

  • <u4

  • >u4

  • <u8

  • >u8

  • structured data types (record arrays). Each element of the array is a combination of multiple fields, which can be of different data types.

Caveats

  • i8, u4 and u8 data types are currently limited to the maximum value of int32. Larger values are set to NA_integer_. Future plans are laid out in https://github.com/Bisaloo/grumpy/issues/13.
  • structured data type support only one level of nesting and no array-cells for now.
  • f2 (half-precision floating point) is read as f4 (single-precision floating point). No effort is made to evaluate whether the values in the original f2 array can be represented in f4 without loss of precision.

The following data types are not yet supported, because we are unsure of their use cases. If you need support for any of these, please open an issue.

  • b*: signed byte
  • B*: unsigned byte
  • c64: complex-floating point
  • c128: double-precision complex floating point
  • m8: timedelta
  • M8: datetime

Dimensions

Any number of dimensions is supported, including zero-dimensional arrays (scalar values) and one-dimensional arrays (vectors). The shape of the original NumPy array is preserved in the output R object, and can be accessed with the dim() function.