我想知道是否有任何方法可以使用streamlit按钮将streamlit的输出数据帧下载为Excel文件?
我建议您编辑您的问题以包含一个最小的可重现示例,以便人们更容易理解您的问题并为您提供帮助。
如果我理解正确的话,这就是答案。基本上它提供了 2 种方法来下载数据
df
作为 csv 或 xlsx。xlsxwriter
软件包才能正常工作。
import streamlit as st
import pandas as pd
import io
# buffer to use for excel writer
buffer = io.BytesIO()
data = {
"calories": [420, 380, 390],
"duration": [50, 40, 45],
"random1": [5, 12, 1],
"random2": [230, 23, 1]
}
df = pd.DataFrame(data)
@st.cache
def convert_to_csv(df):
# IMPORTANT: Cache the conversion to prevent computation on every rerun
return df.to_csv(index=False).encode('utf-8')
csv = convert_to_csv(df)
# display the dataframe on streamlit app
st.write(df)
# download button 1 to download dataframe as csv
download1 = st.download_button(
label="Download data as CSV",
data=csv,
file_name='large_df.csv',
mime='text/csv'
)
# download button 2 to download dataframe as xlsx
with pd.ExcelWriter(buffer, engine='xlsxwriter') as writer:
# Write each dataframe to a different worksheet.
df.to_excel(writer, sheet_name='Sheet1', index=False)
download2 = st.download_button(
label="Download data as Excel",
data=buffer,
file_name='large_df.xlsx',
mime='application/vnd.ms-excel'
)
对 edesz 提供的解决方案进行小改进: 仅在单击准备按钮并添加所需的内容后才准备 Excel
writer.close()
def excel_download_buttons(df: pd.DataFrame, file_name: str = "export.xlsx") -> None:
"""Show prepare data and download buttons."""
if st.button("Click to prepare download"):
buffer = io.BytesIO()
with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
df.to_excel(writer, sheet_name="Sheet1", index=False)
writer.close()
st.download_button(
label="Download data as Excel",
data=buffer,
file_name=file_name,
mime="application/vnd.ms-excel",
)