Reading binary file using numpy in Streamlit

Using Streamlit
3

Hi @blackary - Thanks for the feedback. I tried as you suggested, but it only returned an empty df with the header names, I guess I am not properly passing the arguments to the read_bin() function that is not able to reference the uploaded file. Could you please have a look at my code below and let me know if you spot what I might be doing wrong?

def read_bin(file):
     dt = np.dtype([('col1','d'),('col2','d'),
                 ('col3','d'),('col4','d')])               

     with NamedTemporaryFile(dir='.',suffix='.bin') as f:
        f.write(file.getbuffer())      
        data = np.fromfile(f.name, dtype=dt, sep='')
        df = pd.DataFrame(data)
        return df

if options == ls:
    if bin_file:
        displayBin = st.checkbox('Display File')
        if displayBin:
            df = read_bin(bin_file)
            st.write(df)

I also tried to use shutil library as suggested here post and it returned an empty df as well: Please see my code here below where I attempted to utilise shutil.

def read_bin(fl):  

    dt = np.dtype([('col1','d'),('col2','d'),
                 ('col3','d'),('col4','d')])   
    
    with open('par.bin', 'wb') as buffer:
        shutil.copyfileobj(fl, buffer)
        data = np.fromfile('par.bin', dtype=dt, sep='')
        df = pd.DataFrame(data)
        return df

if options == ls:
    if bin_file:
        displayBin = st.checkbox('Display File')
        if displayBin:
            df = read_bin(bin_file)
            st.write(df)

Also, is there no way to read bin files from the uploaded_files directly just like we can read csv or other file types without the need for creating a temporary file in buffer?