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bamboo-nested-0.1.0
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مشاهده بیشترتوضیحات
A project for feeding various nested data formats into pandas
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | bamboo-nested-0.1.0 |
| نام | bamboo-nested |
| نسخه کتابخانه | 0.1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Michael Vilim |
| ایمیل نویسنده | michael.vilim@gmail.com |
| آدرس صفحه اصلی | https://github.com/mvilim/bamboo |
| آدرس اینترنتی | https://pypi.org/project/bamboo-nested/ |
| مجوز | - |
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## bamboo
[](https://pypi.org/project/bamboo-nested/)
[](https://travis-ci.org/mvilim/bamboo)
bamboo is a library for feeding nested data formats into pandas. The space of data representable in nested formats is larger than the space covered by pandas. pandas supports only data representable in a flat table (though things like multi-indexs allows certain types of tree formats to be efficiently projected into a table). Data which supports arbitrary nesting is not in general convertible to a pandas dataframe. In particular, data which contains multiple repetition structures (e.g. JSON arrays) that are not nested within each other will not be flattenable into a table.
The current data formats supported are:
* JSON
* Apache Avro
* Apache Arrow
* Profobuf (via [PBD](https://github.com/mvilim/pbd))
bamboo works by projecting a flattenable portion (a subset of the nested columns) of the data into a pandas dataframe. By projecting various combinations of columns, one can make use of all the relationships implied by the nested structure of the data.
### Installation
To install from PyPI:
```
pip install bamboo-nested
```
### Example
A minimal example of flattening a JSON string:
```
from bamboo import from_json
obj = [{'a': None, 'b': [1, 2], 'c': [5, 6]}, {'a': -1.0, 'b': [3, 4], 'c': [7, 8]}]
node = from_json(json.dumps(obj))
> - a float64
> - b []uint64
> - c []uint64
```
Flattening just the values of column `a`:
```
df_a = node.flatten(include=['a'])
> a
> 0 NaN
> 1 -1.0
```
Flattening columns `a` and `b` (note that column `a` is repeated to match the corresponding elements of column `b`):
```
df_ab = node.flatten(include=['a', 'b'])
> a b
> 0 NaN 1
> 1 NaN 2
> 2 -1.0 3
> 3 -1.0 4
```
Trying to flatten two repetition lists at the same level will lead to an error (as this structure is unflattenable without taking a Cartesian product):
```
df_bc = node.flatten(include=['b', 'c'])
> ValueError: Attempted to flatten conflicting lists
```
### Building
To build this project:
Building from source requires cmake (`pip install cmake`) and Boost.
```
python setup.py
```
### Unit tests
To run the unit tests:
```
python setup.py test
```
or use nose:
```
nosetests python/bamboo/tests
```
### Licensing
This project is licensed under the [Apache 2.0 License](https://github.com/mvilim/bamboo/blob/master/LICENSE). It uses the pybind11, Arrow, Avro, nlohmann JSON, and PBD projects. The licenses can be found in those [projects' directories](https://github.com/mvilim/bamboo/blob/master/cpp/thirdparty).
نیازمندی
| مقدار | نام |
|---|---|
| >=0.22.0 | pandas |
| >=1.15.0 | numpy |
| >=1.12.0 | six |
| >=1.1.6) | enum34 |
نحوه نصب
نصب پکیج whl bamboo-nested-0.1.0:
pip install bamboo-nested-0.1.0.whl
نصب پکیج tar.gz bamboo-nested-0.1.0:
pip install bamboo-nested-0.1.0.tar.gz