Reputation: 685
I have a Python script that read files and convert it to dataframe using Python and streamlit. Then I want to create a function to allows the user to download this dataframe as an Excel file with extension .xls
.
So I tried to read the dataframe and convert it to an Excel file using these two functions:
pd.ExcelWriter
df.to_excel
But when I try to download the file using a link the file doesn't download and displays this error:
Failed-Network error
Code:
import pandas as pd
import streamlit as st
writer = pd.ExcelWriter('update2.xlsx')
df.to_excel(writer, index = False, header=True,encoding='utf-8')
with open(writer,'rb') as f:
b64 = base64.b64encode(f.read())
href = f'<a href="data:file/xls;base64,{b64}" download="new_file.{extension}">Download {extension}</a>'
st.write(href, unsafe_allow_html=True)
Upvotes: 2
Views: 8224
Reputation: 138
This worked for me
import pandas as pd
from io import BytesIO
import streamlit as st
def to_excel(df: pd.DataFrame):
in_memory_fp = BytesIO()
df.to_excel(in_memory_fp)
# Write the file out to disk to demonstrate that it worked.
in_memory_fp.seek(0, 0)
return in_memory_fp.read()
cols = ["col1", "col2"]
df = pd.DataFrame.from_records([{k: 0.0 for k in cols} for _ in range(25)])
excel_data = to_excel(df)
file_name = "excel.xlsx"
st.download_button(
f"Click to download {file_name}",
excel_data,
file_name,
f"text/{file_name}",
key=file_name
)
Upvotes: 2
Reputation: 3005
With the streamlit latest release(above 1.0.0):
Use
st.download_button
Displays a download button widget.
This is useful when you would like to provide a way for your users to download a file directly from your app.
Note that the data to be downloaded is stored in memory while the user is connected, so it's a good idea to keep file sizes under a couple of hundred megabytes to conserve memory.
Here is a sample code from the discussion, that can be helpful to download excel files...
import pandas as pd
from io import BytesIO
from pyxlsb import open_workbook as open_xlsb
import streamlit as st
def to_excel(df):
output = BytesIO()
writer = pd.ExcelWriter(output, engine='xlsxwriter')
df.to_excel(writer, index=False, sheet_name='Sheet1')
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({'num_format': '0.00'})
worksheet.set_column('A:A', None, format1)
writer.save()
processed_data = output.getvalue()
return processed_data
df_xlsx = to_excel(df)
st.download_button(label='📥 Download Current Result',
data=df_xlsx ,
file_name= 'df_test.xlsx')
Upvotes: 8
Reputation: 1
def get_binary_file_downloader_html(bin_file, file_label='File'):
with open(bin_file, 'rb') as f:
data = f.read()
bin_str = base64.b64encode(data).decode()
href = f'<a href="data:application/octet-stream;base64,{bin_str}" download="{os.path.basename(bin_file)}">Descargar {file_label}</a>'
return href
st.markdown(get_binary_file_downloader_html('Wip_QRY.xlsx', 'Excel'), unsafe_allow_html=True)
Upvotes: -3
Reputation: 79
line 5 can't be executed since you havent assigned any excel to the DataFrame df.
try something like this in your code:
df = pd.read_csv('update2.xlsx')
I hope, this helped.
Take care
Upvotes: -2