semvec/pypi-packages huggingface dataset:
getir-locals-client 1.0.0
Getir-Locals Integration Swagger Documentation
Keywords: Swagger,Getir-Locals Integration Swagger Documentation

    This documentation is created by Getir Developers for Getir-Locals Integration.For this integration, you need to take CLIENT NAME and CLIENT SECRET keys from Getir-dev team and use these keys for authentication. You also need to use access token provided after successful login to be able to use all other endpoints  You can view information about the active order through /orders/unapproved endpoints. The status of the order is managed via verify, prepare, handover and cancel endpoints. Details on order management are as follows:  For orders to be made by the Getir courier, the flow is as follows:  Supplier confirms order --verify&lt;br /&gt;Supplier prepares order --prepare (1-2 minutes must pass before delivery)&lt;br /&gt;Supplier hands over the order to Getir courier --handover&lt;br /&gt;For Getir delivery, transactions are made by the Getir courier after handover.  A valid reason will be requested from the supplier to cancel an order. Valid reasons may vary depending on the instant status of the order. For this reason, before canceling an order, you have to get instant valid order cancellation reasons from /orders/{orderId}/cancel-options endpoint.   # noqa: E501
E360-Charting 1.10.10
Create charts for E360 Plotly Visualisations.
Requires Python: >=3.7

E360 Charting (VRS)
===

_Create charts for E360 Plotly Visualisations._

## Introduction

- Creates payloads for E360 Visualisation Resource Service (VRS).
- VRS payloads have a Plotly-like structure, but are significantly different.
- Merge multiple charts into a single report.
- Convert visualisation instances to pure Plotly payloads.

> Install pre-commit hooks into this git repository

```bash
pre-commit install --install-hooks --overwrite
```

## Quick start

```python
from e360_charting import PieVisualisation
from e360_charting import AnnotationModel  # Optional

# Create a simple visualisation instance
vis = PieVisualisation(
    report_title='My Pie Chart',
    labels=['a', 'b', 'c'],
    values=[33, 66, 1],
    annotations=[AnnotationModel(text='Some Text', x=0.5, y=0.5)]  # Optional
)

# Get a payload from the instance as a dictionary
vis.dump()  # -> {...}

# Convert to a pure Plotly payload
vis.as_plotly().dump()  # -> {...}

```


## Grouping

```python
from e360_charting import GroupedVisualisations

"""Extends previous example"""

# Instance for holding multiple reports
group = GroupedVisualisations()

# Add a visualisation to the group
group += vis  # This way multiple instances can be merged

# Use the group to dump to a VRS payload
group.dump()  # -> {...}

```


## Charting classes available

- `e360_charting.BarStackStratifiedVisualisation`
- `e360_charting.BarStackVisualisation`
- `e360_charting.BarStratifiedVisualisation`
- `e360_charting.BarVisualisation`
- `e360_charting.DonutVisualisation`
- `e360_charting.FallenTreePlotStratifiedVisualisation`
- `e360_charting.FallenTreePlotVisualisation`
- `e360_charting.MultiChartAxesVisualisation`
- `e360_charting.MultiLineStratifiedVisualisation`
- `e360_charting.MultiLineVisualisation`
- `e360_charting.MultiSteppedLineStratifiedVisualisation`
- `e360_charting.MultiSteppedLineVisualisation`
- `e360_charting.MultiStraightLineStratifiedVisualisation`
- `e360_charting.PieVisualisation`
- `e360_charting.RelativeBarStackStratifiedVisualisation`
- `e360_charting.RelativeBarStackVisualisation`
- `e360_charting.SankeyVisualisation`
- `e360_charting.StaticSankeyVisualisation`
- `e360_charting.SunburstVisualisation`
- `e360_charting.TableStratifiedVisualisation`
- `e360_charting.TableVisualisation`
- `e360_charting.WaterfallStratifiedVisualisation`
- `e360_charting.WaterfallVisualisation`