Update A chat about saving data

A-chat-about-saving-data.md

@@ -49,3 +49,74 @@
 
 **❌ Don’t Say:** 
 *Beam synchronous PV*  
+
+## Example scripts using datahub
+
+### Saving historic data for a set time range
+
+```python
+from datahub import *
+import matplotlib.pyplot as plt
+from datetime import datetime, timedelta
+
+# Set time range: from 6 minutes ago to 5 minutes ago
+now = datetime.now()
+from_time, to_time = [
+    (now - timedelta(minutes=m)).strftime('%Y-%m-%d %H:%M:%S.%f')[:-3] 
+    for m in [6, 5]
+]
+
+# Define the channels to monitor
+channels = [
+    "SARFE10-PSSS059:SPECTRUM_Y",
+    "SAROP21-PBPS133:INTENSITY",
+    "SARFE10-PBPG050:FAST-PULSE-ENERGY"
+]
+
+# Construct the query with channels and time range
+query = {
+    "channels": channels,
+    "start": from_time,
+    "end": to_time
+}
+
+# Connect to the data source and retrieve data
+with Daqbuf(backend="sf-databuffer", cbor=True) as source:
+    table = Table()
+    source.add_listener(table)
+    source.request(query)
+    dataframe = table.as_dataframe(index=Table.PULSE_ID)
+    
+    # Iterate through each channel and print the number of pulses
+    for channel in channels:
+        if channel in dataframe.columns:
+            NumShots = dataframe[channel].count()
+            print(f"{channel}: {NumShots} pulses")
+        else:
+            print(f"{channel}: Channel not found in the dataframe.")
+```
+
+### Example of a stream of live data
+
+```python
+from datahub import Bsread, Table
+
+channels = [
+    "SARFE10-PSSS059:SPECTRUM_Y",
+    "SAROP21-PBPS133:INTENSITY",
+    "SARFE10-PBPG050:FAST-PULSE-ENERGY"
+]
+
+with Bsread() as source:
+    table = Table()
+    source.add_listener(table)
+    source.req(channels, 0.0, 2.0)
+    dataframe = table.as_dataframe(index=Table.PULSE_ID)
+
+    for channel in channels:
+        if channel in dataframe.columns:
+            NumShots = dataframe[channel].count()
+            print(f"{channel}: {NumShots} pulses")
+        else:
+            print(f"{channel}: Channel not found in the dataframe.")
+```