plotly

问题 I am using a scatter plot with mode = markers+text. The legends appear with this disturbing Aa label. Anyway to remove them? I am using plotly for python 回答1: It's certanly not the right way to perform the task, but if you want to render images using Orca - there is no other option. Locate plotly.min.js ( plotly.io.to_image() use internal library at site-packages\plotly\package_data) Find and replace x.tx="Aa" to x.tx="" 回答2: Unfortunately removing Aa label when using mode = markers+text is

问题 As titled, i am creating a plotly dashboard with a data-table only. There will be 2 drop-downs as inputs, and the data-table will update according to the drown-downs. How do I set the layout and callbacks? import pandas as pd import dash import dash_core_components as dcc import dash_html_components as html import dash_table as dt from dash.dependencies import Input, Output, State df = pd.read_csv(data, header=0, encoding = 'utf8') app = dash.Dash() application = app.server dropdown = html

问题 As titled, i am creating a plotly dashboard with a data-table only. There will be 2 drop-downs as inputs, and the data-table will update according to the drown-downs. How do I set the layout and callbacks? import pandas as pd import dash import dash_core_components as dcc import dash_html_components as html import dash_table as dt from dash.dependencies import Input, Output, State df = pd.read_csv(data, header=0, encoding = 'utf8') app = dash.Dash() application = app.server dropdown = html

问题 I am trying to embed a plotly graph into a PyQt5 webengine view. I was able to do so using the following: open plotly in qwebview in interactive mode If you read it, the article explains that you can't directly include the javascript in the HTML when using the webengine view (it has issues loading files above 2 MB). However, I'm trying to make it so that the source for the javascript is a local copy of plotly-min.js (saved in the project folder) so that anyone using the program doesn't need

问题 I am trying to embed a plotly graph into a PyQt5 webengine view. I was able to do so using the following: open plotly in qwebview in interactive mode If you read it, the article explains that you can't directly include the javascript in the HTML when using the webengine view (it has issues loading files above 2 MB). However, I'm trying to make it so that the source for the javascript is a local copy of plotly-min.js (saved in the project folder) so that anyone using the program doesn't need

问题 I wanted to inquire, i am using dash, how to display a value computed from the back end? say I am going to show the sum (in the front end) of the Sales column from a dataframe df in the backend, so, how should i set up the dashboard? i understand i will have the line below for the output, html.Div(id='sum') but how do i set the callback? @app.callback(Output('sum', 'children'), [Input('df', 'value')]) def get_sum('Sales'): sum = df["Sales"].sum return 'Grand Total = "{}"'.format(sum) thank

问题 I wanted to inquire, i am using dash, how to display a value computed from the back end? say I am going to show the sum (in the front end) of the Sales column from a dataframe df in the backend, so, how should i set up the dashboard? i understand i will have the line below for the output, html.Div(id='sum') but how do i set the callback? @app.callback(Output('sum', 'children'), [Input('df', 'value')]) def get_sum('Sales'): sum = df["Sales"].sum return 'Grand Total = "{}"'.format(sum) thank

问题 The following code produces a plot with red markers: trace_0 <- rnorm(100, mean = 5) trace_1 <- rnorm(100, mean = 0) x <- c(1:100) data <- data.frame(x, trace_0, trace_1) plot_ly(data, x = ~x, y = ~trace_0, type = 'scatter', mode = 'markers', marker = list(color='red')) If I try to add a line I get unwanted red markers also: plot_ly(data, x = ~x, y = ~trace_0, type = 'scatter', mode = 'markers', marker = list(color='red'))%>% add_trace(y = ~trace_1, mode = 'lines') and a complaint from plot

问题 The following code produces a plot with red markers: trace_0 <- rnorm(100, mean = 5) trace_1 <- rnorm(100, mean = 0) x <- c(1:100) data <- data.frame(x, trace_0, trace_1) plot_ly(data, x = ~x, y = ~trace_0, type = 'scatter', mode = 'markers', marker = list(color='red')) If I try to add a line I get unwanted red markers also: plot_ly(data, x = ~x, y = ~trace_0, type = 'scatter', mode = 'markers', marker = list(color='red'))%>% add_trace(y = ~trace_1, mode = 'lines') and a complaint from plot

问题 The following code produces a plot with red markers: trace_0 <- rnorm(100, mean = 5) trace_1 <- rnorm(100, mean = 0) x <- c(1:100) data <- data.frame(x, trace_0, trace_1) plot_ly(data, x = ~x, y = ~trace_0, type = 'scatter', mode = 'markers', marker = list(color='red')) If I try to add a line I get unwanted red markers also: plot_ly(data, x = ~x, y = ~trace_0, type = 'scatter', mode = 'markers', marker = list(color='red'))%>% add_trace(y = ~trace_1, mode = 'lines') and a complaint from plot