Small changes to docs.

docs/README_coach.md

@@ -389,6 +389,7 @@ data; however, this method easily introduces noise due to friction during motion
 | 52820    | 32k      | 256k       | Untested, should work just as the 832 does      |
 | 52832    | 64/32 KB | 512/256 KB | Enough RAM for additional sensors               |
 | 52840    | 256 KB   | 1 MB       | Untested; probably overkill for this application|
+See: [bthome-presence hardware](https://github.com/kquinsland/bthome-presence/blob/main/hardware/readme.md)
 
 * 3x [holyiot 21014]() nRF52810 + lis2dh12 + RGB LED + button
 * [holyiot 21014 zephyr project](https://github.com/danielstuart14/wlen_project/tree/master/beacon/boards/arm/holyiot_21014)

docs/README_concept2.md

@@ -1,6 +1,6 @@
 # Concept2 Related Information
 
-[ORM Bata Repo](https://github.com/JaapvanEkris/openrowingmonitor)
+[ORM Beta Repo](https://github.com/JaapvanEkris/openrowingmonitor)
 
 ## [Settings](./docs/rower_settings.md)
 
@@ -103,12 +103,13 @@ The Model D has 6 magnets on the flywheel with a coil/generator setup giving:
     minimumTimeBetweenImpulses: 0.005,
     maximumTimeBetweenImpulses: 0.022,
 
-The Model D has some uptake issues in its generator: the first x pulses are very
-weak, but when the flywheel gains momentum, it will peak at 15V.
+The Model D has some uptake issues in its generator: the first x pulses are
+very weak, but when the flywheel gains momentum, it will peak at 15V.
 
 ### [Arduino Monitor for Concept2 Model B C D](https://www.instructables.com/ARDUINO-MONITOR-FOR-CONCEPT2-MODEL-B-C-D/)
 
-This project uses an arduino mega 2560 with has 5V tolerant pins but uses analog read.
+This project uses an arduino mega 2560 with has 5V tolerant pins but uses
+analog read.
 
 #### Model B and C
 
@@ -118,7 +119,8 @@ jack) to the analog read pin (1) on the arduino.
 
 #### Drag factor
 
-For a new Concept2, the Drag Factor ranges between 80 (Damper setting 1) and 220 (Damper setting 10):
+For a new Concept2, the Drag Factor ranges between 80 (Damper setting 1) and
+220 (Damper setting 10):
 
 * [concept 2 model c damper level 01 oscilloscope data.txt](https://github.com/laberning/openrowingmonitor/files/9336167/concept.2.model.c.damper.level.01.oscilloscope.data.txt)
 * concept 2 model c damper level 10 [oscilloscope data.txt](https://github.com/laberning/openrowingmonitor/files/9336169/concept.2.model.c.damper.level.10.oscilloscope.data.txt)

docs/README_concept2_predictions.md

@@ -65,6 +65,9 @@ Given zone: AT:
 
 ### Return a training zone from a [training table](Interactive_Training_Plans.xlsx)
 
+See: [parse_ITP_spreadsheet.py](parse_ITP_spreadsheet.py) for a pandas
+dataframe parsing and querying the spreadsheet.
+
 Given a level 1-5, a session number and a week number return the associated
 session eg 3x16'UT1
 

docs/parse_ITP_spreadsheet.py

@@ -0,0 +1,44 @@
+import pandas as pd
+
+# Read all sheets from the ODS file
+ods_file = 'Interactive_Training_Plans.xlsx'
+all_sheets = pd.read_excel(ods_file, sheet_name=None, skiprows=range(4))
+
+# Iterate through the sheets and print their names and contents
+# for sheet_name, df in all_sheets.items():
+#    print(f"Sheet: {sheet_name}")
+#    print(df.head())
+#    print("\n")
+
+# Iterate through the sheets and print their names
+# for sheet_name in all_sheets.keys():
+#    if 'Level 5 | 7 sessions | 18 weeks' in sheet_name:
+#        print(f"Sheet name: {sheet_name}")
+
+# Return one sheet
+
+# Assuming 'df' is your DataFrame
+week = 9
+session_column = "Session 3"
+
+for sheet_name, df in all_sheets.items():
+    if 'Level 5 | 7 sessions | 18 weeks' in sheet_name:
+        print(f"Sheet name: {sheet_name}")
+        print(df.to_string())
+        print("\n")
+        #
+        # Print available columns
+        print("Available columns:", df.columns.tolist())
+
+        # Check if 'Week' column exists
+        if 'Week' in df.columns:
+            # Find the row corresponding to week 9
+            week_row = df[df["Week"] == week]
+            
+            # Get the value in the "Session 3" column for week 9
+            value = week_row[session_column].values[0]
+            
+            print(f"The value for Session 3 in week {week} is: {value}")
+        else:
+            print("The 'Week' column does not exist in the DataFrame.")
+            print("Please specify a valid column name.")

docs/requirements.txt

@@ -0,0 +1,3 @@
+pandas
+openpyxl
+static_frame