# TUM ESM Signal
Replaces the `shareable-timeseries-visualization` repository.
**Installation:**
```bash
poetry add tum-esm-signal
# or
pip install tum-esm-signal
```
**Usage:**
```python
from tum_esm_signal import TUM_ESM_SignalClient
signal_client = TUM_ESM_SignalClient(
cms_identity=cms_identity, cms_password=cms_password,
collection_name="test", table_name="test",
sensor_id="test",
)
data_column_co2 = signal_client.connect_column(
column_name="co2", unit="ppm",
minimum=350, maximum=4000, decimal_places=0,
)
data_column_ch4 = signal_client.connect_column(
column_name="ch4", unit="ppm",
minimum=1.6, maximum=3.0, decimal_places=2,
description="Methane",
)
while True:
print("Sending datapoints")
data_column_co2.add_datapoint(random.randint(350, 4000))
data_column_ch4.add_datapoint(random.random() * 1.4 + 1.6)
time.sleep(2)
```
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