Python interface to the Apache Arrow-based Feather File Format
Project description
## Python interface to the Apache Arrow-based Feather File Format
Feather efficiently stores pandas DataFrame objects on disk.
## Build
Building Feather requires a C++11 compiler. We’ve simplified the PyPI packaging to include libfeather (the C++ core library) to be built statically as part of the Python extension build, but this may change in the future.
## Limitations
Some features of pandas are not supported in Feather:
Non-string column names
Row indexes
Object-type columns with non-homogeneous data
## Mac notes
Anaconda uses a default 10.5 deployment target which does not have C++11 properly available. This can be fixed by setting:
` export MACOSX_DEPLOYMENT_TARGET=10.10 `
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