phrazor


Namephrazor JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/vphrase-pvt-ltd/phrazor-python/tree/master/
SummaryPhrazor is a Python library that converts your data into textual insights.
upload_time2023-10-06 06:00:40
maintainer
docs_urlNone
authorvPhrase Analytics Solutions Pvt. Ltd.
requires_python>=3.6
licenseGNU Affero General Public License
keywords insights
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ![Python versions](https://img.shields.io/badge/python>=-3.6-blue.svg)

## [Phrazor API Postman Workspace](https://www.postman.com/vphrase/workspace/phrazor-api)

### Phrazor Insights Collection 
For Postman Docs visit [Phrazor Postman Docs](https://documenter.getpostman.com/view/30152822/2s9YJc2ifY)

[![Run in Postman](https://run.pstmn.io/button.svg)](https://god.gw.postman.com/run-collection/30152822-cd724c00-a511-440c-95c0-90e5d3e0fa48?action=collection%2Ffork&source=rip_markdown&collection-url=entityId%3D30152822-cd724c00-a511-440c-95c0-90e5d3e0fa48%26entityType%3Dcollection%26workspaceId%3D93db9691-c25b-488e-8647-b2977be3f65f)

# Phrazor Python Library

Phrazor is a Python library that converts your data into textual insights.

You can find usage examples for the Phrazor Python library in our [Phrazor Docs](https://docs.phrazor.ai/)

## Quick Start

Click here to go to [Quick start of Phrazor SDK](https://docs.phrazor.ai/docs/quick-start)

## Installation

You don't need this source code unless you want to modify the package. If you just
want to use the package, just run:

```sh
pip install --upgrade phrazor
```

Install from source with:

```sh
python setup.py install
```

## Usage

The library needs to be configured with your account's secret key which is available on
the [website](https://platform.phrazor.ai).

Or set `phrazor.API_KEY` to its value:

```python
import phrazor

phrazor.API_KEY = "YOUR API KEY"
phrzr = phrazor.Phrazor()

# set data
phrzr.set_data({"Column Name 1": [list of values], "Column Name 2": [list of values]})

# set column meta
phrzr.set_column_meta(
    date_column="Date Column Name", metric_column=["Metric Column Name 2"],
    dimension_column="Dimension Column Name"
)

# supported analysis - ("descriptor", "change", "compare_measure", "compare_dimension", "target_vs_achievement", "budget" or "trend")
# print the generated insights
print(phrzr.get_insights("descriptor"))
```



            

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