plotly

问题 I am working on project and getting this error ImportError: No module named plotly.plotly I tried: pip install plotly pip install --upgrade plotly But import plotly.plotly as py didn't work. 回答1: Not sure if pyzo and python modules are stored at different location on your computer. And how they are referred. But you can try following to give absolute path name for plotly while loading module and see if it works. import sys sys.path.insert(0, c:\pyzo2015a\lib\site-packages\plotly') import

问题 I would like to plot the heat of earthquake acceleration at Gilroy California. The following is my data; geocodes of each point is in decimal. lon lat Acc. -121.5897466 36.98443922 0.308722537 -121.5776472 36.98446622 0.343560598 -121.5657399 36.98449289 0.316238725 -121.5528172 36.98452208 0.289579654 -121.5397651 36.98455121 0.278277577 -121.6022388 36.9957913 0.321904187 -121.5897466 36.99578578 0.346187454 -121.57767 36.99578046 0.323865427 -121.5657514 36.99577518 0.296775313 -121

问题 library(plotly) df <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv") df$hover <- with(df, paste(state, '<br>', "Beef", beef, "Dairy", dairy, "<br>", "Fruits", total.fruits, "Veggies", total.veggies, "<br>", "Wheat", wheat, "Corn", corn)) # give state boundaries a white border l <- list(color = toRGB("white"), width = 2) # specify some map projection/options g <- list( scope = 'usa', projection = list(type = 'albers usa'), showlakes = TRUE,

问题 I need to plot a area chart, it contains financial data and I am using plotly to do so. The problem is, plotly has a feature of detecting the time series format and plots even the missing dates by simply extending a linear line until the next available data input. Is it possible to disable this feature and plot only the time series where data is available? library(plotly) Datetime <- c( "2016-01-05 00:00:00", "2016-01-06 00:00:00", "2016-01-07 00:00:00", "2016-01-08 00:00:00", "2016-01-11 00

问题 Say I have the following data frame: ret <- rnorm(100, 0, 5) df <- data.frame( x = seq(1, 100, 1), ret = ret, y = 100 + cumsum(ret), col = c(ifelse(ret > 0, "red", "forestgreen"), NA)[-1] ) Here I'm simulating the returns of some fictional financial asset using rnorm named 'ret', and am defining a color vector named 'col' where upticks are green and downticks are red. What I want to produce is something like the following: library(ggplot2) ggplot(df, aes(x=x, y=y)) + geom_line(aes(colour=col,

问题 I posted a similar question earlier (Retrieving R object attributes in JavaScript). In that earlier post, I oversimplified my MWE, and so the answer I rewarded unfortunately does not really apply to my real problem. Here, I am showing why I may need to retrieve R object attributes in JavaScript (unless there is another option that I am not aware of). I have a 5-variable dataset with 100 observations. I used hexagon binning and created a scatterplot matrix. Each of the 10 scatterplots has

问题 I have a plotly plot in R Shiny. I want to be able to click many points and have them displayed in a table. The plot is working great and I can get 1 plotly_click (via event_data()) to show in a table. How can a grow a vector of many event_data points. Here is some sample code. I was trying to save the event in d_save. Thanks. library(shiny) library(plotly) data1 <- data.frame(cbind(seq(1,1000,1),seq(1,1000,1)*5)) colnames(data1) <- c('index','data') data_points <- data.frame(cbind(seq(1,1000

问题 I'm trying to create a forest plot with R plotly where I want to color code the effect sizes (points) and their error bars by their corresponding p-values. Here are toy data: set.seed(1) factors <- paste0(1:25,":age") effect.sizes <- rnorm(25,0,1) effect.errors <- abs(rnorm(25,0,1)) p.values <- runif(25,0,1) Here's what I'm trying: library(dplyr) plotly::plot_ly(type='scatter',mode="markers",y=~factors,x=~effect.sizes,color=~p.values,colors=grDevices::colorRamp(c("darkred","gray"))) %>%

问题 Appreciate any help on this task! I'm trying to have this dash app take slider input value to change a variable through a function and then change the marker colour variable only. The code is written in python and uses plotly-dash and plotly and as well as pandas numpy and mapbox. The top part of the code is getting the data into the right format. It has traffic data which is being processed to product a heatmap that shows congestion over time on a map. The dataframe DF is for volume of

问题 Appreciate any help on this task! I'm trying to have this dash app take slider input value to change a variable through a function and then change the marker colour variable only. The code is written in python and uses plotly-dash and plotly and as well as pandas numpy and mapbox. The top part of the code is getting the data into the right format. It has traffic data which is being processed to product a heatmap that shows congestion over time on a map. The dataframe DF is for volume of