How to read csv file from user in streamlit and converting to pandas dataframe

Question

I want to read some spectral data to my streamlit application. Each row in the file is a spectrum (different intensity values). So, I used st.fileuploader

spectra = st.file_uploader("upload file", type={"csv", "txt"})
spectra = pd.DataFrame(spectra_1_file)
st.write(spectra_1)

Now, I am getting only one row of data on each column I have each spectrum as comma-separated. I need to convert the input from the user to a similar fashion of pd.csv_read. Because, when I was using it, I was able to get a proper pandas data frame. I tried different methods to read. But, never got the proper way. this was the closest I could get.

Thank you in advance.

there is a method in pandas which is read_csv to read csv data and convert it into dataframe — ahmedazhar05
– ahmedazhar05, Commented Jul 4, 2021 at 19:41

queste · Accepted Answer · 2021-07-05 03:03:50Z

5

spectra = st.file_uploader("upload file", type={"csv", "txt"})
if spectra is not None:
    spectra_df = pd.read_csv(spectra)
st.write(spectra_df)

answered Jul 5, 2021 at 3:03

queste

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Comments

Fairouz · Accepted Answer · 2021-10-26 09:38:10Z

0

By using Pandas and Streamlit, you can read and upload your CSV file into your localhost.

data = pd.read_csv("csv_practice.csv") #path folder of the data file
st.write(data) #displays the table of data

answered Oct 26, 2021 at 9:38

Fairouz

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