from edgeml import DatasetReceiverThis will also pull the metadata from the server. Here you need the read-key. Make sure there is not trailing / in your URL.
project = DatasetReceiver("https://edge-ml-beta.dmz.teco.edu", "8c051972b56e6b4ad6bd0bf573da580f")
print(project)Dataset - Name: W_001, ID: 645a255bdd19d537f2a50126, Metadata: {}
Dataset - Name: W_004, ID: 645a255b7d9569d03843a12b, Metadata: {}
Dataset - Name: Square_003, ID: 645a255b2ce253c26b52426c, Metadata: {}
Dataset - Name: Square_004, ID: 645a255b1d6af5e7ed04575f, Metadata: {}
Dataset - Name: Square_002, ID: 645a255bc21261d4cbdc990d, Metadata: {}
Dataset - Name: W_002, ID: 645a255b3ebe0af02b211d5d, Metadata: {}
Dataset - Name: W_003, ID: 645a255b074737af782167e2, Metadata: {}
Dataset - Name: Square_001, ID: 645a255bbacf5ab8ff044304, Metadata: {}
Dataset - Name: edgemlDemo, ID: 64635a79a7a7513e8ac92d32, Metadata: {'langauge': 'python'}
Dataset - Name: edgemlDemo, ID: 64635a7b6fec1d2800b1cd06, Metadata: {'langauge': 'python'}
Until now, we only have metadata available. We need to pull the actual time-series data using one of the following methods:
We can load the data for a single timeSeries
project.datasets[0].timeSeries[0].loadData()
project.datasets[0].timeSeries[0].data.head()
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| time | x | |
|---|---|---|
| 0 | 1970-01-01 00:10:23.339 | -823.0 |
| 1 | 1970-01-01 00:10:23.378 | -819.0 |
| 2 | 1970-01-01 00:10:23.418 | -770.0 |
| 3 | 1970-01-01 00:10:23.458 | -746.0 |
| 4 | 1970-01-01 00:10:23.497 | -783.0 |
For a single dataset
project.datasets[0].loadData()
project.datasets[0].data.head()
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| time | x | y | z | Gestures | |
|---|---|---|---|---|---|
| 0 | 1970-01-01 00:10:23.339 | -823.0 | -45.0 | 4025.0 | |
| 1 | 1970-01-01 00:10:23.378 | -819.0 | -158.0 | 4075.0 | |
| 2 | 1970-01-01 00:10:23.418 | -770.0 | -255.0 | 4116.0 | |
| 3 | 1970-01-01 00:10:23.458 | -746.0 | -155.0 | 4059.0 | |
| 4 | 1970-01-01 00:10:23.497 | -783.0 | -104.0 | 3963.0 |
Or for all datasets in the project
project.loadData()
project.data[0].head()
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| time | x | y | z | Gestures | |
|---|---|---|---|---|---|
| 0 | 1970-01-01 00:10:23.339 | -823.0 | -45.0 | 4025.0 | |
| 1 | 1970-01-01 00:10:23.378 | -819.0 | -158.0 | 4075.0 | |
| 2 | 1970-01-01 00:10:23.418 | -770.0 | -255.0 | 4116.0 | |
| 3 | 1970-01-01 00:10:23.458 | -746.0 | -155.0 | 4059.0 | |
| 4 | 1970-01-01 00:10:23.497 | -783.0 | -104.0 | 3963.0 |
Here you will need the write-key
from edgeml.edgeml import DatasetCollector
sender = DatasetCollector(url="https://edge-ml-beta.dmz.teco.edu", apiKey="4e6159c9c77124d71f298e93f1ed7254", name="edgemlDemo", useDeviceTime=True, timeSeries=["accX", "accY"], metaData={"langauge": "python"})import time
for i in range (100):
await sender.addDataPoint(name="accX", value=i*0.1)
await sender.addDataPoint(name="accY", value=i*0.5)
time.sleep(0.01)
sender.onComplete()True
from edgeml.edgeml import DatasetCollector
sender = DatasetCollector(url="https://edge-ml-beta.dmz.teco.edu", apiKey="4e6159c9c77124d71f298e93f1ed7254", name="edgemlDemo", useDeviceTime=False, timeSeries=["accX", "accY"], metaData={"langauge": "python"})import time
for i in range (100):
await sender.addDataPoint(timestamp=i*1000, name="accX", value=i*0.1)
await sender.addDataPoint(timestamp=i*1000, name="accY", value=i*0.5)
time.sleep(0.01)
sender.onComplete()True