Skip to main content

Classes for data manipulation

Project description

Python Classes for Data Manipulation

Build Status Documentation Status PyPI

dataiter currently includes the following classes.

DataFrame is a class for tabular data similar to R's data.frame or pandas.DataFrame. It is under the hood a dictionary of NumPy arrays and thus capable of fast vectorized operations. You can consider this to be a very experimental, very light-weight alternative to Pandas with a simple and consistent API. Performance-wise dataiter relies on NumPy and is likely to be at best comparable to Pandas.

ListOfDicts is a class useful for manipulating data from JSON APIs. It provides functionality similar to libraries such as Underscore.js, with manipulation functions that iterate over the data and return a shallow modified copy of the original. attd.AttributeDict is used to provide convenient access to dictionary keys.

GeoJSON is a simple wrapper class that allows reading a GeoJSON file into a DataFrame and writing a data frame to a GeoJSON file. Any operations on the data are thus done with methods provided by the data frame class. Geometry is read as-is into the "geometry" column, but no special geometric operations are currently supported.

Installation

pip install dataiter

Documentation

https://dataiter.readthedocs.io/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dataiter-0.16.tar.gz (20.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dataiter-0.16-py3-none-any.whl (27.4 kB view details)

Uploaded Python 3

File details

Details for the file dataiter-0.16.tar.gz.

File metadata

  • Download URL: dataiter-0.16.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.4.2 requests/2.23.0 setuptools/49.3.1 requests-toolbelt/0.8.0 tqdm/4.48.2 CPython/3.8.6rc1

File hashes

Hashes for dataiter-0.16.tar.gz
Algorithm Hash digest
SHA256 39cf5bc5e424decc45f10e2c3616b45a2c7c241ea6b750e85c10935a72b4b8ad
MD5 679cc4b7e8e8a684f2a4d1d1ec2a3051
BLAKE2b-256 9aa5cfbef54170840f7b15e1f8b885bdd0812bb0e29206d90db5189029ccd3b1

See more details on using hashes here.

File details

Details for the file dataiter-0.16-py3-none-any.whl.

File metadata

  • Download URL: dataiter-0.16-py3-none-any.whl
  • Upload date:
  • Size: 27.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.4.2 requests/2.23.0 setuptools/49.3.1 requests-toolbelt/0.8.0 tqdm/4.48.2 CPython/3.8.6rc1

File hashes

Hashes for dataiter-0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 e0d80bf4ff48ed95debe95947855e31c3f190aac7b78a4eba6a96eb9989ab812
MD5 bd93f59281f52a66d20d59f654bb019a
BLAKE2b-256 37bb326de2aa4aee666be485dde881ea2e989c295d0969af46bcda892e5b113a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page