Ste*_*eij 3 filenames download button python-3.x plotly-dash
我生成内存通过Excel文件pd.ExcelWriter,并BytesIO在我的Python3.8仪表应用点击事件。
一切正常。当我下载我的文件时,我收到此弹出消息,询问我是否要继续下载/打开生成的文件。但是,弹出消息显示了这个(我猜是base64编码的)字符串(或路径?),例如...ydaHdjhgk328AAAAnxsAA==,下载下载后会获得一组(随机分配的?)字符集作为文件名(例如ZySzsdn1.xlsx)。
我该如何调整它才能显示文件名并将其分配给类似的东西download.xlsx?我的猜测是这与base64编码的href.
生成excel文件的函数:
def write_product_file():
output = BytesIO()
writer = pd.ExcelWriter(output, engine="xlsxwriter")
upload_df = pd.DataFrame()
upload_df.to_excel(writer, index=False, sheet_name="sheet1")
writer.save()
return output
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我的 Dash 应用程序中的按钮:
html.Div(
id="select-upload-form",
style={"width": "100%"},
children=[
dbc.Button(
"Download the upload form",
id="download-excel",
color="secondary",
external_link="true",
target="",
href="",
),
],
),
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最后我的回调:
@app.callback(
[
Output("download-excel", "href"),
Output("download-excel", "color"),
Output("download-excel", "target"),
],
[Input("download-excel", "n_clicks")],
)
def download_template_file(n_clicks):
if n_clicks:
excelfile = write_product_file()
excelfile.seek(0)
media_type = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
data = base64.b64encode(excelfile.read()).decode("utf-8")
href_data = f"data:{media_type};base64,{data}"
return href_data, "success", href_data,
else:
return None, "secondary", None
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您可以使用Downloaddash-extensions 包中的组件,
pip install dash-extensions == 0.0.18
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语法更简单,它有一个filename参数。这是一个小例子,
import dash
import dash_html_components as html
import numpy as np
import pandas as pd
from dash.dependencies import Output, Input
from dash_extensions import Download
from dash_extensions.snippets import send_bytes
# Generate some example data.
data = np.column_stack((np.arange(10), np.arange(10) * 2))
df = pd.DataFrame(columns=["a column", "another column"], data=data)
# Create app.
app = dash.Dash(prevent_initial_callbacks=True)
app.layout = html.Div([html.Button("Download xlsx", id="btn"), Download(id="download")])
@app.callback(Output("download", "data"), [Input("btn", "n_clicks")])
def generate_xlsx(n_nlicks):
def to_xlsx(bytes_io):
xslx_writer = pd.ExcelWriter(bytes_io, engine="xlsxwriter")
df.to_excel(xslx_writer, index=False, sheet_name="sheet1")
xslx_writer.save()
return send_bytes(to_xlsx, "some_name.xlsx")
if __name__ == '__main__':
app.run_server()
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免责声明:我是 dash-extensions 包的作者。