pandas 数据格式保留DateTimeIndex
pandas data format to preserve DateTimeIndex
我对具有 DateTime 索引和多索引的数据做了很多工作。以 .csv 格式保存和阅读很乏味，因为每次我必须 reset_index 并将其命名为 "date" 然后当我再次阅读时，我必须将日期转换回日期时间并设置索引。什么格式可以帮助我避免这种情况？我更喜欢开源的东西——例如我认为 SAS 和 Stata 会这样做，但它们是专有的。
羽毛是为此而生的：
https://github.com/wesm/feather
Feather provides binary columnar serialization for data frames. It is
designed to make reading and writing data frames efficient, and to
make sharing data across data analysis languages easy. This initial
version comes with bindings for python (written by Wes McKinney) and R
(written by Hadley Wickham).
Feather uses the Apache Arrow columnar memory specification to
represent binary data on disk. This makes read and write operations
very fast. This is particularly important for encoding null/NA values
and variable-length types like UTF8 strings.
Feather is a part of the broader Apache Arrow project. Feather defines
its own simplified schemas and metadata for on-disk representation.
Feather currently supports the following column types:
A wide range of numeric types (int8, int16, int32, int64, uint8,
uint16, uint32, uint64, float, double). Logical/boolean values. Dates,
times, and timestamps. Factors/categorical variables that have fixed
set of possible values. UTF-8 encoded strings. Arbitrary binary data.
我对具有 DateTime 索引和多索引的数据做了很多工作。以 .csv 格式保存和阅读很乏味，因为每次我必须 reset_index 并将其命名为 "date" 然后当我再次阅读时，我必须将日期转换回日期时间并设置索引。什么格式可以帮助我避免这种情况？我更喜欢开源的东西——例如我认为 SAS 和 Stata 会这样做，但它们是专有的。
羽毛是为此而生的： https://github.com/wesm/feather
Feather provides binary columnar serialization for data frames. It is designed to make reading and writing data frames efficient, and to make sharing data across data analysis languages easy. This initial version comes with bindings for python (written by Wes McKinney) and R (written by Hadley Wickham).
Feather uses the Apache Arrow columnar memory specification to represent binary data on disk. This makes read and write operations very fast. This is particularly important for encoding null/NA values and variable-length types like UTF8 strings.
Feather is a part of the broader Apache Arrow project. Feather defines its own simplified schemas and metadata for on-disk representation.
Feather currently supports the following column types:
A wide range of numeric types (int8, int16, int32, int64, uint8, uint16, uint32, uint64, float, double). Logical/boolean values. Dates, times, and timestamps. Factors/categorical variables that have fixed set of possible values. UTF-8 encoded strings. Arbitrary binary data.