CodeKnight & Marcus
Marcus
Hey, I’ve been trying to turn our spreadsheet roadmap into a little auto‑update wizard with a Python script—any chance you’d want to help me tighten the data pull so it runs faster? I’m talking real-time color coding for deadlines, plus a quick coffee‑spilling alert if a metric dips below the target. Let’s see if your night‑owl precision can keep up with my caffeine‑driven workflow.
CodeKnight
Sure, just drop the current script or outline the data structure and I’ll tighten the pandas loops, replace any slow for‑loops with vectorized ops, and hook up a quick console or pop‑up alert for the low‑metric flag. Let’s keep it lean and fast.
Marcus
Great, I’ll zip the script over now. I’ve already colored the risk columns, but the loop over each row is eating the runtime. If you can vectorize that part and add a pop‑up when any KPI falls below 80%, we’ll be good to go. Appreciate the boost!
CodeKnight
Yeah, just replace the per‑row loop with a vectorized check. For example, if you’re using pandas, you can do something like this:
1. Compute a boolean mask for KPIs below 80 %
2. Use that mask to set a “red” flag or update a column.
3. If any flag is True, pop up a quick window with tkinter or print to the console.
```python
import pandas as pd
import tkinter as tk
from tkinter import messagebox
df = pd.read_excel('roadmap.xlsx')
# vectorized threshold check
mask = df['KPI'] < 0.80
df.loc[mask, 'Status'] = 'Below Target'
# if any KPI is below target, show a popup
if mask.any():
root = tk.Tk()
root.withdraw() # hide main window
messagebox.showwarning("KPI Alert", f"{mask.sum()} KPI(s) below 80 %")
root.destroy()
```
Drop your full script into a function, call it on load, and you’ll cut the runtime dramatically. Let me know if you hit any snags.
Marcus
That looks solid—just drop the dataframe load and the status column into a function, call it at startup, and we’re done. If you run into any hiccups, ping me, I’ll be in the dev box until the last coffee. Good job on the vectorization, it’ll shave minutes off our nightly crunch.
CodeKnight
import pandas as pd
import tkinter as tk
from tkinter import messagebox
def process_kpis(df):
# assume KPI column is numeric and percentage (0–1)
mask = df['KPI'] < 0.80
df.loc[mask, 'Status'] = 'Below Target'
# pop‑up if any KPI is below 80%
if mask.any():
root = tk.Tk()
root.withdraw()
messagebox.showwarning("KPI Alert", f"{mask.sum()} KPI(s) below 80 %")
root.destroy()
return df
# at startup
df = pd.read_excel('roadmap.xlsx')
df = process_kpis(df)
df.to_excel('roadmap_updated.xlsx', index=False)
Marcus
Nice clean function—just make sure the ‘KPI’ column is float‑scaled (0‑1) or it’ll fire every run. Also, if the sheet grows, the pop‑up will spam the users; maybe add a counter threshold or log instead. Otherwise we’re good to roll this into the nightly batch. Keep that coffee coming!