plotly

问题 The Plotly documentation on heatmap animation is pretty difficult to understand. Could someone explain how to animate a heatmap? Here is my specific example. import numpy as np from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly.graph_objs as go init_notebook_mode(connected=True) x = np.linspace(0, 1, 200) y = np.linspace(0, 1, 200) xx, yy = np.meshgrid(x, y) def plane_wave(phase): return np.sin(8*np.pi * (xx - phase)) zz = plane_wave(0) trace = go

问题 The Plotly documentation on heatmap animation is pretty difficult to understand. Could someone explain how to animate a heatmap? Here is my specific example. import numpy as np from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly.graph_objs as go init_notebook_mode(connected=True) x = np.linspace(0, 1, 200) y = np.linspace(0, 1, 200) xx, yy = np.meshgrid(x, y) def plane_wave(phase): return np.sin(8*np.pi * (xx - phase)) zz = plane_wave(0) trace = go

问题 The Plotly documentation on heatmap animation is pretty difficult to understand. Could someone explain how to animate a heatmap? Here is my specific example. import numpy as np from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly.graph_objs as go init_notebook_mode(connected=True) x = np.linspace(0, 1, 200) y = np.linspace(0, 1, 200) xx, yy = np.meshgrid(x, y) def plane_wave(phase): return np.sin(8*np.pi * (xx - phase)) zz = plane_wave(0) trace = go

问题 I need to create a graph from data with python. I took my inspiration from various website and I've made this script : import plotly.express as px import plotly.graph_objs as go import statsmodels.api as sm value = [1, 2, 3, 4, 5, 5, 5, 6, 6, 7, 8] date = [ 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020] fig = px.scatter(x=date, y=value ) fig.add_trace(go.Scatter(x=date, y=value, mode='lines',name='MB Used' )) trend = sm.OLS(value,sm.add_constant(date)).fit().fittedvalues

问题 This question already has an answer here : Plotly: How to define colors in a figure using plotly.graph_objects and plotly.express? (1 answer) Closed 5 days ago . I have a pandas dataframe of electricity generation mix. So it consists of electricity generation by different fuels. I want to assign a specific color to a specific fuel. In Matplotlib, it is convenient to assign a specific color to a specific category by passing a list of colors, e.g. df.plot(kind="bar",color=["red","green","yellow

问题 I am working on a dash dashboard. Here is my code: # IMPORT SECTION import dash import dash_table import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc from dash.dependencies import Input, Output import plotly.graph_objs as go import numpy as np import pandas as pd from math import ceil from matplotlib.cm import Set3 # INPUT DATA n = 7 d_min = 0.2 d_max = 0.8 d_step = 0.1 N_min = 2000 N_max = 8000 N_step = 1000 D = 40 h = 20 dataframe

问题 I'm hoping you can help me with errors that I'm getting with Flask in an attempt to deploy plotly-dash on a Windows server. I've set up Flask using the following guide, verbatim, except the location of my website within the wwwroot folder: Flask on IIS When I use the most basic of apps, it works fine, an example being the following code: from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello from FastCGI via IIS!" if __name__ == "__main__": app.run() But then

问题 I'm hoping you can help me with errors that I'm getting with Flask in an attempt to deploy plotly-dash on a Windows server. I've set up Flask using the following guide, verbatim, except the location of my website within the wwwroot folder: Flask on IIS When I use the most basic of apps, it works fine, an example being the following code: from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello from FastCGI via IIS!" if __name__ == "__main__": app.run() But then

问题 I´m starting to play with plot.ly in R and I´m amazed with the possibilities to publish my graphs directly in html using htmlwidgets. Until now I´m unable to save multiple widgets in the same html. I have saved multiple widgets in stand-alone htmls and than combine it by hand in the html code, but I would like to be able to do it in R. A simple example: #graph graph<- ggplot(df, aes(x = Data, y=tax))+ geom_bar(stat='identity') gg <- ggplotly(graph) # save as HtmlWigdet htmlwidgets::saveWidget

问题 I´m starting to play with plot.ly in R and I´m amazed with the possibilities to publish my graphs directly in html using htmlwidgets. Until now I´m unable to save multiple widgets in the same html. I have saved multiple widgets in stand-alone htmls and than combine it by hand in the html code, but I would like to be able to do it in R. A simple example: #graph graph<- ggplot(df, aes(x = Data, y=tax))+ geom_bar(stat='identity') gg <- ggplotly(graph) # save as HtmlWigdet htmlwidgets::saveWidget