We created a package 'pypletics' running on Python in order to use smart functions for people analysis.
For now, there is 3 functions:
1. introduction(): it just introduces myself
2. get_my_network(...): return an array with a plot network created from networkx package, its value and a dataframe with interlocutors and interactions.
3. get_structured_df(...): return an array very useful in order to manage copy or multi-addressees for example
*get_my_network(...)[0]:*

*get_my_network(...)[1].show():*

*get_my_network(...)[2]:*

*get_structured_df(...):*
From:
| Sender | Addressee |
| -------- | --------------- |
| Clément | Florian-Jean |
| Florian | Jean |
| Gaëtan | Clément-Florian |
To:
| Sender | Addressee |
| -------- | --------- |
| Clément | Florian |
| Clément | Jean |
| Florian | Jean |
| Gaëtan | Clément |
| Gaëtan | Florian |
## ABOUT ME
```python
def introduce_myself():
print(df.head(1))
introduce_myself()
```
| Name | Company | Job |
| ------------------- | ----------------- | --------------- |
| Clément Tailleur | Octo Technology | Data scientist |
Metadata
Release files for pypletics 0.0.4.8
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| Tags | Python 3 |
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