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Package of various helper functions to support various People Analytics projects

Project description

Python for People Analytics

Installation

Download and install the package on your machine:

cd <<working directory>>
git clone https://github.com/kammetherell/py4pa.git
pip install -e ./py4pa

If you need to bypass SSL verification on your machine (if you are behind a proxy for example), you can use the following install command:

git -c http.sslVerify=false clone https://github.com/kamdickens/py4pa.git
pip install -e ./py4pa --trusted-host pypi.org --trusted-host files.pythonhosted.org

Import the package into your Python script:

import py4pa

Usage

py4pa.ona

  • py4pa.ona.clean_email_data(dir, files='all', include_subject=False, engine='c', encoding='latin', delete_old_file=False)
  • py4pa.ona.generate_node_edge_lists(email_data, demographic_data, demographic_key, output_dir, include_subject=False)
  • py4pa.ona.generate_nx_digraph(node_list, edge_list)
  • py4pa.ona.calc_density(df_nodes, df_edges, target_attribute)
  • py4pa.ona.calc_modularity(df_nodes, df_edges, target_attribute, weighted=False, direction='outbound')

py4pa.arm

  • py4pa.arm.concat_fields(df, fields)

py4pa.visualisation

  • py4pa.visualisation.gen_expn_colors()
  • py4pa.visualisation.gen_gradient_cmap(start, end, steps=50)

py4pa.nlp

py4pa.email_helper

  • py4pa.email_helper.send_plain_text_email(server, sender, recip, subject, body)

py4pa.web_scraping

  • py4pa.web_scraping.get_random_useragent(browser=None):
  • py4pa.web_scraping.get_visier_data_connection(data_connector_id, user, pword, api_key, company,fName=None)

py4pa.misc

  • py4pa.misc.csv_to_utf8(file)
  • py4pa.misc.upgradeAllPackages()
  • py4pa.misc.installPackage(package)
  • py4pa.misc.getDateTimeStamp(time=True)
  • py4pa.misc.continuous_logging(msg)

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