plotly-dash

问题 I would like to read a .csv file and return a groupby function as a callback to be displayed as a simple data table with "dash_table" library. @Lawliet's helpful answer shows how to do that with "dash_table_experiments" library. Here is where I’m stuck: import pandas as pd import dash import dash_core_components as dcc import dash_html_components as html import dash_table from dash.dependencies import Input, Output, State df = pd.read_csv( 'https://gist.githubusercontent.com/chriddyp/'

问题 I want to upload a csv file and generate a graph that outputs the data from the csv file, I am able to upload the csv and display the data using dash_table, but I am unable to get the graph to work. My error after uploading the csv file: Invalid argument figure.data passed into Graph with ID "Mygraph". Expected an array. Was supplied type object . import base64 import datetime import io import plotly.graph_objs as go import cufflinks as cf import dash from dash.dependencies import Input,

问题 I want to upload a csv file and generate a graph that outputs the data from the csv file, I am able to upload the csv and display the data using dash_table, but I am unable to get the graph to work. My error after uploading the csv file: Invalid argument figure.data passed into Graph with ID "Mygraph". Expected an array. Was supplied type object . import base64 import datetime import io import plotly.graph_objs as go import cufflinks as cf import dash from dash.dependencies import Input,

问题 I want to plot a chart with two subplots in plotly dash. My entire chart looks like this: import pandas as pd import numpy as np import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go from plotly.subplots import make_subplots df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv').iloc[:60] fig = make_subplots(rows=2, cols=1, row_heights=[0.8, 0.2], vertical_spacing=0) fig.add_trace(go

问题 I have to design a web-app that provides Flask services and Dash services. For example I would like to create a login in Flask, combined with a Dash application. The problem is that I can't bind the flask login with dash. I would need a method like '@require_login' that filters access to even Dash services. The code is as follows: app_flask = Flask(__name__) app_flask.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////login.db' app_flask.config['SECRET_KEY'] = 'thisissecret' db = SQLAlchemy(app

问题 I have a Dataframe Date Category Sum 0 2019-06-03 "25M" 34 1 2019-06-03 "25M" 60 2 2019-06-03 "50M" 23 3 2019-06-04 "25M" 67 4 2019-06-05 "50M" -90 5 2019-06-05 "50M" 100 6 2019-06-06 "100M" 6 7 2019-06-07 "25M" -100 8 2019-06-08 "100M" 67 9 2019-06-09 "25M" 450 10 2019-06-10 "50M" 600 11 2019-06-11 "25M" -9 12 2019-07-12 "50M" 45 13 2019-07-13 "50M" 67 14 2019-07-14 "100M" 130 15 2019-07-14 "50M" 45 16 2019-07-15 "100M" 100 17 2019-07-16 "25M" -90 18 2019-07-17 "25M" 700 19 2019-07-18 "25M"

问题 I have a Dataframe Date Category Sum 0 2019-06-03 "25M" 34 1 2019-06-03 "25M" 60 2 2019-06-03 "50M" 23 3 2019-06-04 "25M" 67 4 2019-06-05 "50M" -90 5 2019-06-05 "50M" 100 6 2019-06-06 "100M" 6 7 2019-06-07 "25M" -100 8 2019-06-08 "100M" 67 9 2019-06-09 "25M" 450 10 2019-06-10 "50M" 600 11 2019-06-11 "25M" -9 12 2019-07-12 "50M" 45 13 2019-07-13 "50M" 67 14 2019-07-14 "100M" 130 15 2019-07-14 "50M" 45 16 2019-07-15 "100M" 100 17 2019-07-16 "25M" -90 18 2019-07-17 "25M" 700 19 2019-07-18 "25M"

问题 I have a Dataframe Date Category Sum 0 2019-06-03 "25M" 34 1 2019-06-03 "25M" 60 2 2019-06-03 "50M" 23 3 2019-06-04 "25M" 67 4 2019-06-05 "50M" -90 5 2019-06-05 "50M" 100 6 2019-06-06 "100M" 6 7 2019-06-07 "25M" -100 8 2019-06-08 "100M" 67 9 2019-06-09 "25M" 450 10 2019-06-10 "50M" 600 11 2019-06-11 "25M" -9 12 2019-07-12 "50M" 45 13 2019-07-13 "50M" 67 14 2019-07-14 "100M" 130 15 2019-07-14 "50M" 45 16 2019-07-15 "100M" 100 17 2019-07-16 "25M" -90 18 2019-07-17 "25M" 700 19 2019-07-18 "25M"

问题 I am trying to get the dependency between a slider, user input and a table to work. I have tried outputting the data and using a callback to update it. I was advised to just create the table in a callback and just use a "Div." to define its location in the display. other info: table is created from a pandas DataFrame, using dash_table library. data is in dictionary format. with a the variable threshold being the value adjusted by user input (slider or input) I would be grateful if someone

问题 I've met plot.ly dash yesterday for the first time and created some interactive plot. And I added dash_core_components.Slider() object like below code. dcc.Slider( id='month--slider', min=0, max=12, value=12, step=None, marks={'1': '1', '6': '6', '12': {'label': '12', 'style': {'color': 'red'}}} ) I've read help(dcc.Slider) but I couldn't find the way to change the skyblue color of my slider below. So my question here...Is it possible to change the color(or style) of default slider of plot.ly