Я хотел бы реализовать фильтр с несколькими столбцами во фрейме данных после загрузки файла Excel или CSV и сохранить полученный фрейм данных. Ниже приведен код. Я написал код для загрузки файла и могу его отобразить. Мне нужно получить параметры фильтрации и сохранить данные результата. Ниже мой текущий код
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
#HTML Layout
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
server = app.server
app.layout = html.Div([
html.Div([
html.Center(
dcc.Upload(
id='upload-data',
children=html.Div([
'Drag and Drop or ',
html.A('Select File')
]),
style={
'width': '20%',
'height': '32px',
'lineHeight': '32px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px'
},
# Allow multiple files to be uploaded
multiple=True
)),
]),
html.Div(id='output-data-upload'),
html.Br(),
html.Br(),
html.Div([
html.Center(html.H6(id='my-output'))
#html.Div(id='my-output'),
]),
]),
])
# Function for reading the data
def parse_data(contents, filename):
content_type, content_string = contents.split(',')
decoded = base64.b64decode(content_string)
try:
if 'csv' in filename:
# Assume that the user uploaded a CSV or TXT file
df = pd.read_csv(
io.StringIO(decoded.decode('utf-8')))
elif 'xls' in filename:
# Assume that the user uploaded an excel file
df = pd.read_excel(io.BytesIO(decoded))
elif 'txt' or 'tsv' in filename:
# Assume that the user upl, delimiter = r'\s+'oaded an excel file
df = pd.read_csv(
io.StringIO(decoded.decode('utf-8')), delimiter = r'\s+')
except Exception as e:
print(e)
return html.Div([
'There was an error processing this file.'
])
return df
#Call backs
def generate_table(df_final):
return dash_table.DataTable(data=df_final.to_dict('rows'),columns=[{'name': i, 'id': i} for i in df_final.columns],editable=True,
virtualization=True,
fixed_rows={'headers': True},
page_current=0,
page_size=5,
style_table={ 'height':'350px','overflowY': 'auto'},
style_cell_conditional=[{'if': {'column_id': c},'textAlign': 'left'}
for c in ['Date', 'Region']],style_data_conditional=[{
'if': {'row_index': 'odd'},'backgroundColor': 'rgb(248, 248, 248)'}],
style_header={'backgroundColor': 'rgb(230, 230, 230)','fontFamily':'sans-serif',
'fontWeight': 'bold',"fontSize":'13px'},
style_cell={'minWidth': 95, 'maxWidth': 95, 'width': 95}
)
@app.callback(Output('output-data-upload','children'),
[Input('upload-data', 'contents')],
[State('upload-data', 'filename')]
)
#function for displaying the preview of the input file.
def display_table(contents,filename):
if contents:
contents = contents[0]
filename= filename[0]
df = parse_data(contents,filename)
return html.Div([
html.Center(html.H5('Preview')),
html.Center(
html.Div([
html.Div([
generate_table(df_final_1)
])
],style={'width':'85%'}
)
)])
@app.callback(Output('output-confirm','children'),
[Input('submit-filter', 'n_clicks')]
)
def filter_button(n_clicks):
if n_clicks:
return 'Successful'
#Calling the server
if __name__ == '__main__':
app.run_server()
