Error for Boston House Regression - Data format

[paluigi]

Hello, while launching the boston house regression app (app 9) I get this error:

KeyError: <class 'numpy.float64'>
Traceback:
File "/home/xxx/anaconda3/envs/stl/lib/python3.8/site-packages/streamlit/script_runner.py", line 332, in _run_script
exec(code, module.dict)
File "/home/xxx/github/streamlit_freecodecamp/app_9_regression_boston_housing/boston-house-ml-app.py", line 54, in
df = user_input_features()
File "/home/xxx/github/streamlit_freecodecamp/app_9_regression_boston_housing/boston-house-ml-app.py", line 25, in user_input_features
CRIM = st.sidebar.slider('CRIM', X.CRIM.min(), X.CRIM.max(), X.CRIM.mean())
File "/home/xxx/anaconda3/envs/stl/lib/python3.8/site-packages/streamlit/elements/slider.py", line 159, in slider
data_type = SUPPORTED_TYPES[type(value[0])]

It seems there something odd between the format in which data in the sidebar are saved and the way the program expects them?
Any help is appreciated!
Thanks

[Jannik098]

Hey there, I'm not an expert myself but the problem is that streamlit complains about the min() and max() returning int64 instead of int. I found it here: streamlit/streamlit#1065 (comment)

If you adjust all the sliders like this, it works for me:
CRIM = st.sidebar.slider('CRIM', float(X.CRIM.min()), float(X.CRIM.max()), float(X.CRIM.mean()))

[amulya25p]

Hey there, I'm not an expert myself but the problem is that streamlit complains about the min() and max() returning int64 instead of int. I found it here: streamlit/streamlit#1065 (comment)

If you adjust all the sliders like this, it works for me: CRIM = st.sidebar.slider('CRIM', float(X.CRIM.min()), float(X.CRIM.max()), float(X.CRIM.mean()))

this worked for me! Thanks!