plotly

问题 i have 2 charts and i want it to display side by side . Barchart and piechart side by side and probably the same barchart below these 2 charts.i have tried a lot and i would really appreciate some help. this is the below code import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go from dash.dependencies import Output, Input, State import numpy as np import pandas as pd import plotly.figure_factory as ff from pandas import read_excel

问题 i have 2 charts and i want it to display side by side . Barchart and piechart side by side and probably the same barchart below these 2 charts.i have tried a lot and i would really appreciate some help. this is the below code import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go from dash.dependencies import Output, Input, State import numpy as np import pandas as pd import plotly.figure_factory as ff from pandas import read_excel

问题 I would like to use latex with the Plotly backend. Look in this example: Even the x-axis and y-axis log scales are not formatted properly! Do you know how to do that? Best, v. using Plots, LaTeXStrings plotlyjs() x = 10 .^ LinRange(-5,5,10) plot(x, 1 ./ x, yaxis=:log, xaxis=:log, m = 2, xlabel="x", label="1/x",ylabel="f(x)") plot!(x, 10 ./ x, m=2,label="10/x") plot!(x, 1 ./ (x.^2), m=2, label=L"f(x)=$1/x^2$") savefig("./test.png") 回答1: Seems to work with the gr() backend, so I expect

问题 I want to show the negatives as red colour Tried to look for solutions online but none found plot_ly(x = ecomm_yoy2$YOY, y = ecomm_yoy2$Brand, type = 'bar', orientation = 'h') %>% layout(xaxis = list(title = "% YOY change in £ for June", dtick = 10)) %>% layout(yaxis = list(categoryorder = "array", categoryarray = ecomm_yoy2$YOY)) %>% add_annotations(text = ecomm_yoy2$YOY, showarrow = F, xshift = 25) Currently only shows blue 回答1: Here is a possible solution using plotly's color and colors

问题 import dash import dash_html_components as html import dash_core_components as dcc app = dash.Dash() app.layout = html.Div([ html.Div([ html.Div(dcc.Graph(id='g1', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), html.Div(dcc.Graph(id='g2', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), ], className="row") ]) if __name__ == '__main__': app.run_server(debug=True) The above code supposed to be

问题 I am trying to build a visualization with plotly combining multiple plots using subplot . I'd like to have a legend that shows all levels from the various plots passed to subplot without duplicates. Here is a simplified example of the problem: library(plotly) d <- data.frame( x1 = c('a', 'a', 'b', 'b'), x2 = c('a', 'b', 'b', 'c'), y = 3 + runif(4) ) p1 <- plot_ly(d[d$x1=='a', ], x=~x2, y=~y, color=~x2, type='bar', legendgroup=~x2) p2 <- plot_ly(d[d$x1=='b', ], x=~x2, y=~y, color=~x2, type=

问题 import dash import dash_html_components as html import dash_core_components as dcc app = dash.Dash() app.layout = html.Div([ html.Div([ html.Div(dcc.Graph(id='g1', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), html.Div(dcc.Graph(id='g2', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), ], className="row") ]) if __name__ == '__main__': app.run_server(debug=True) The above code supposed to be

问题 I am trying to build a visualization with plotly combining multiple plots using subplot . I'd like to have a legend that shows all levels from the various plots passed to subplot without duplicates. Here is a simplified example of the problem: library(plotly) d <- data.frame( x1 = c('a', 'a', 'b', 'b'), x2 = c('a', 'b', 'b', 'c'), y = 3 + runif(4) ) p1 <- plot_ly(d[d$x1=='a', ], x=~x2, y=~y, color=~x2, type='bar', legendgroup=~x2) p2 <- plot_ly(d[d$x1=='b', ], x=~x2, y=~y, color=~x2, type=

问题 I am building a simple python dashboard using dash and plotly. I am also new to python (as is probably evident!) and I'm happy for any/all corrections. I would like to plot a time series of data from a pre-determined CSV file. I have added a dropdown selection box with which I would like to allow multiple different columns to be plotted. Sample data: "TOA5","HE605_RV50_GAF","CR6","7225","CR6.Std.07","CPU:BiSP5_GAF_v2d.CR6","51755","SensorStats" "TIMESTAMP","RECORD","BattV_Min","BattV_Avg",

问题 I am building a simple python dashboard using dash and plotly. I am also new to python (as is probably evident!) and I'm happy for any/all corrections. I would like to plot a time series of data from a pre-determined CSV file. I have added a dropdown selection box with which I would like to allow multiple different columns to be plotted. Sample data: "TOA5","HE605_RV50_GAF","CR6","7225","CR6.Std.07","CPU:BiSP5_GAF_v2d.CR6","51755","SensorStats" "TIMESTAMP","RECORD","BattV_Min","BattV_Avg",