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Adding README table
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lcsrodriguez committed Jul 11, 2022
1 parent 123c340 commit 473d595
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16 changes: 16 additions & 0 deletions README.md
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Expand Up @@ -47,6 +47,20 @@ If you choose the cloning method, please perform a prelinimary step: installing

**Remark**: If you want to clearly uninstall the module, please use: `pip uninstall headat`.


## Supported load formats

| Class | Type | Description |
|-----------|-------------|--------------------------------------------------------------------------|
| Raw array | `list` | "Pure" Python array (list of lists) |
| Raw set | `set` | "Pure" Python set (set of lists) |
| Raw dict | `dict` | "Pure" Python dict (dict of lists) |
| Numpy | `ndarray` | Numpy n-dimensions array (for fast computations) (underlying C-layers) |
| Pandas | `Series` | Pandas Series conversion (for multiple signals, return a list of Series) |
| Pandas | `DataFrame` | Pandas DataFrame conversion (best solution for further data processing) |
| HDFS | - | Hadoop Distributed File System (HDFS) *(using PyArrow)* |
| RDD | - | Resilient Distributed Datasets (RDD) *(using PySpark)* |

## Supported export formats

| Name | Extension | Description |
Expand All @@ -62,6 +76,8 @@ If you choose the cloning method, please perform a prelinimary step: installing
| Pickle | `.pkl` | For data serialization and unserialization (could be useful for such applications) |
| SQLite | `.db, .sqlite` | Classic and light-weight file-based SQL RDBMS (can be relevant for requesting organized records |
| MATLAB | `.mat` | For heavy computations on MATLAB programs (proprietary software) |
| WAV | `.wav` | - |




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1 change: 1 addition & 0 deletions headat/constants.py
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@@ -1,6 +1,7 @@
AVAILABLE_EXPORT_TYPES = {
"text_txt": {
"ext": "txt",
"method": "custom"
},
"text_out": {
"ext": "out",
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2 changes: 0 additions & 2 deletions headat/main.py
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Expand Up @@ -211,8 +211,6 @@ def get_records_hashes(self):
------------------------------------------------
1 or more records <-> 1 HDGroup ==> Goal: statistical comparison
- do the same as with 1 HDView but concat the multiple records side-by-side
"""


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