Skip to main content

DataHand is a collection of algorithms to read and handle data for research (e.g., Web of Science, USPTO) in Python.

Project description

Data Hand

DataHand is a collection of algorithms to read and handle data for research (e.g., Web of Science, USPTO) in Python.

DataHand allows to read a variety of typical sources used for research and convert them into a pandas DataFrame.

Installation

To install DataHand, we recommend to use PyPI:

pip install datahand

First steps

1. Read data from Web of Science

from datahand import read_wos

df = read_wos("file/to/path.txt")

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

datahand-0.0.3.tar.gz (2.2 kB view details)

Uploaded Source

File details

Details for the file datahand-0.0.3.tar.gz.

File metadata

  • Download URL: datahand-0.0.3.tar.gz
  • Upload date:
  • Size: 2.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for datahand-0.0.3.tar.gz
Algorithm Hash digest
SHA256 ecf434681feaeb39363d284e12d25c306df59b62e29b1a1ad0cb5c34c08d72d2
MD5 94b5d5f480e557ca540877186806e1b0
BLAKE2b-256 7ec336ae9d83981137122e3e9a950d57354f2e77f28cf9e870b6f5fac1208dc0

See more details on using hashes here.

Supported by

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