semvec/pypi-packages huggingface dataset:
platemapping 2.0.0
Plate map uploading, processing & visualisaion
Requires Python: >=3.6

# Plate Map #
[Map well plate experiments via .csv plate map templates](https://github.com/lawrencecollins/Ca-Flex-Analysis/)<br><br>
[Shorthand example](https://github.com/lawrencecollins/Ca-Flex-Analysis/blob/master/plate-map_example%203nM%20to%203%20uM.csv)<br>
[Longhand example](https://github.com/lawrencecollins/Ca-Flex-Analysis/blob/master/long%20map%20example.csv)<br>
<br>
This software is used to read and interpret [calcium flux](https://github.com/lawrencecollins/calciumflexanalysis) and [fluorescence anisotropy](https://github.com/mariuszlas/Fluorescence-Anisotropy-Analysis) assays<br>
<br>
Suitable for well plates of size 6, 12, 24, 48, 96 and 384. 

## Documentation ##
Find the current documentation [here](https://lawrencecollins.github.io/platemapping/)
calciumflexanalysis 1.2.0
Processing and analysis of calcium flex assays
Requires Python: >=3.6

# Calcium Flex Analysis #

Read and interpret Calcium Flex assay data from well plates. 

## Documentation ##
[_calcium_flex_](https://lawrencecollins.github.io/calciumflexanalysis/calcium_flex/) <br>
[_multiplate_](https://lawrencecollins.github.io/calciumflexanalysis/multiplate/)

## Demo ##
~~~python
from calciumflexanalysis import calcium_flex as cal
~~~
[Step-by-step guide](https://lawrencecollins.github.io/calciumflexanalysis/demo/) <br>
Download the demo notebook and files used [here](https://github.com/lawrencecollins/Ca-Flex-Analysis/) (best viewed using [Jupyter Notebook](https://jupyter.org/) accessible via [Anaconda](https://www.anaconda.com/products/individual))

## Installation ##
~~~
pip install calciumflexanalysis 
~~~

### Dependencies ###
[platemapping](https://github.com/lawrencecollins/platemapping) (automatically installed)
NRInsightsAPI 0.0.1
REST API for New Relic
Requires Python: >=3.6

# Wrapper for New Relic Insights API

## Avaliable Methods

- get_data(account,query_api_key,query)
    - returns result in JSON format
- insert_data(account,insert_api_key,data_df)
    - return response status as a list

### Sample Code

__Get Request__
```
from NRInsightsApi import get_data
r =  get_data('2929995','JSJW_WKJSJ_192920_192820','SELECT average(duration) FROM PageView')
```

```
{'results': [{'average': None}], 'performanceStats': {'inspectedCount': 0, 'omittedCount': 0, 'matchCount': 0, 'wallClockTime': 1}, 
'metadata': {'eventTypes': ['PageView'], 'eventType': 'PageView', 'openEnded': True, 'beginTime': '2021-03-31T02:48:58Z', 'endTime': '2021-03-31T03:48:58Z', 'beginTimeMillis': 1617158938335, 'endTimeMillis': 1617162538335, 'rawSince': '60 MINUTES AGO', 'rawUntil': 'NOW', 'rawCompareWith': '', 'guid': '4ade46ba-5782-6d40-7627-1411ca37131f', 'routerGuid': '74da0adc-aa35-7d58-a977-667954ca56aa', 'messages': ['No events found -- do you have the correct event type and time range?'], 'info': ['No events found -- do you have the correct event type and time range?'], 'contents': [{'function': 'average', 'attribute': 'duration', 'simple': True}]}}
```