plotly

问题 I have a dataframe and using plotly I want to visualise the data. I have the following code fig = px.line(df, x="row_num", y="audienceWatchRatio", color='vid_id') fig.show() It's really messy, so I want a drop-down menu where the user can just select the vid_id and it only shows the 1 graph. 回答1: You can set up one trace and a button option for each individual trace. This will turn this figure... ... into this: The button option A will be replaced with the first column in your dataframe. And

问题 I have a dataframe and using plotly I want to visualise the data. I have the following code fig = px.line(df, x="row_num", y="audienceWatchRatio", color='vid_id') fig.show() It's really messy, so I want a drop-down menu where the user can just select the vid_id and it only shows the 1 graph. 回答1: You can set up one trace and a button option for each individual trace. This will turn this figure... ... into this: The button option A will be replaced with the first column in your dataframe. And

问题 I'm new to Python, Pandas and Plotly so maybe the answer is easy but I couldn't find anything on the forum or anywhere else … I don’t want to use Dash nor ipywidgets since I want to be able to export in HTML using plotly.offline.plot (I need an interactive HTML file to dynamically control the figure without any server running like Dash seems to do). Well my problem is that I would like to filter a plotly figure using several (cumulative) dropdown buttons (2 in this example, but it could be

问题 I am trying to create choropleth maps. Below is an example that works: df = px.data.gapminder().query("year==2007") fig = go.Figure(data=go.Choropleth( locations=happy['iso'], # Spatial coordinates z = happy['Happiness'].astype(float), # Data to be color-coded colorbar_title = "Happiness Score", )) fig.update_layout( title_text = 'Life Expectancy in 2007' ) fig.show() However, I would like to create a dropdown menu that will change the plotted values between different variables (e.g., Life

问题 This question already has answers here : How to make good reproducible pandas examples (5 answers) Closed 14 days ago . Despite the clear and concise guidance on How do I ask a good question? and How to create a Minimal, Reproducible Example, many just seem to ignore to include a reproducible data sample in their question. So what is a practical and easy way to share a data sample when a simple pd.DataFrame(np.random.random(size=(5, 5))) is not enough? 回答1: The answer: In many situations,

问题 I have a plotly plot where the title is placed in the plot area by default. I would like to change this to have the plot title outside of the plot area. In the screenshot, the title is in the "plot area" (light grey), I would like this to be above the plot area. My current code only has the title argument in the plot layout : plt <- plt %>% layout( title = sprintf('Ice-formation Risk <br>%s', format(Sys.time(),format = '%d %b %Y %H:%M %Z'))) I've tried playing with some of the parameters

问题 I want to plot multiple plots, all with the same X-axis. One of those plots has a few missing values at the start (by definition, like a moving average data would). For comparability, I'd like the start of the X-axis for all plots to be the same. Here's a reproducible example - library(plotly) plotdata <- data.frame(Month=as.POSIXct(c(1309435200, 1312113600, 1314792000, 1317380400, 1320058800, 1322650800, 1325329200, 1328007600, 1330513200, 1333191600, 1335787200, 1338465600, 1341057600,

问题 This maybe asking alot, but I was curious if anyone had any tips for combining these two dash scripts. The purpose would be to incorporate the drop down menu to remove/add data points on the visualization plots. The first script will visualize my data nicely and the second script with the callback function is for creating a drop down menu from the plotly tutorials. import dash import dash_core_components as dcc import dash_html_components as html import pandas as pd import plotly.graph_objs

问题 I made scatter_geo plot in Python within plotly. import plotly.express as px import pandas as pd rows=[['501-600','65','122.58333','45.36667'], ['till 500','54','12.5','27.5'], ['more 1001','51','-115.53333','38.08'], ['601-1000','54','120.54167','21.98'], ] colmns=['bins','data','longitude','latitude'] df=pd.DataFrame(data=rows, columns=colmns) fig=px.scatter_geo(df,lon='longitude', lat='latitude',color='bins', opacity=0.5, projection="natural earth") fig.show() Are there any possibility to

问题 I am trying to make a shiny app based on New York crime historical data. I am using single shiny page approach. Here's the data: https://data.world/data-society/nyc-crime-data For some reason when I select the year to output the crime statistics, my output gets outputted only in the Viewer of RStudio and not on the main panel of the Shiny popup. Here's the complete code: # Shiny App exploring New York City Crime Data between 2006-2016 # Data Source: https://data.world/data-society/nyc-crime