plotly

ggplotly not working properly when number are facets are more

倾然丶 夕夏残阳落幕 提交于 2020-01-24 01:04:14
问题 I am trying to create a Shiny Dashboard which contains Plots also. Plotly is such a great a package that it provides great visualization and interactivity to the users. But when i use ggplotly to convert my ggplot plots to interactive graphs, i am not getting the expected output and the issues get multiplied when the number of facets in the output are more. for example kindly find the code below. Source_Data_dupli <- data.frame( key = c(1, 1, 1, 2, 2, 2, 3, 3, 3,4,4,5,5,6,7), Product_Name = c

How to draw ellipsoid with plotly

生来就可爱ヽ(ⅴ<●) 提交于 2020-01-23 12:59:14
问题 Are there any way to plot a surface like ellipsoid with plotly 3D? Currently only surfaces of the form z=f(x,y) are discussed in the docs. There is also Mesh 3D, but I found no examples for it. It seem to be possible to make a triangulation of ellipsoid manually and then use Mesh to get ellipsoid, but it looks a bit difficult for me. Are there any better way to do it? 回答1: Okay, it is easier than I thought. There is alphahull option that asks plotly to calculate the corresponding

Double x axis (analog to doubleYScale) with lattice extra or similar

泄露秘密 提交于 2020-01-23 09:29:38
问题 I want to make specific figures that we need in oceanography. Unfortunately double, triple or more axes are not very good implemented in R. I don't need a double y axis as in doubleYScale of lattice extra. I need double or triple x axis. I could not find a way to use doubleYScale to my advantage. Maybe that's possible. Help would be appreciated a lot. This is what I have now based on the data: stackoverflow_fluo.csv: http://pastebin.com/embed_js.php?i=7KNEiytF animals_stackoverflow.csv:http:/

Double x axis (analog to doubleYScale) with lattice extra or similar

最后都变了- 提交于 2020-01-23 09:29:08
问题 I want to make specific figures that we need in oceanography. Unfortunately double, triple or more axes are not very good implemented in R. I don't need a double y axis as in doubleYScale of lattice extra. I need double or triple x axis. I could not find a way to use doubleYScale to my advantage. Maybe that's possible. Help would be appreciated a lot. This is what I have now based on the data: stackoverflow_fluo.csv: http://pastebin.com/embed_js.php?i=7KNEiytF animals_stackoverflow.csv:http:/

Plotting graph using python and dispaying it using HTML

时光总嘲笑我的痴心妄想 提交于 2020-01-22 04:55:11
问题 I want build an offline application using plotly for displaying graphs . I am using python(flask) at the back end and HTML(javascript) for the front end . Currently I am able to plot the graph by sending the graph data as JSON object to front end and building the graph using plotly.js at the front end itself . But what I actually want is to build the graph at the server(backend ie python) side itself and then display the data in HTML . I have gone through the plotly documentation that builds

Plotly Facets not translating properly

不想你离开。 提交于 2020-01-21 23:56:59
问题 I've found that with Plotly with R, when I'm faceting plots, they often don't translate properly from R to Plotly. For example, my graph plotted in R looks like so: When I send it to plotly, it looks like so: (Some data has been hidden from both plots for confidentiality reasons) My code looks like so: plot <- ggplot(sytoxG_data_no_NC) + geom_ribbon(data = confidence_intervals_SG, mapping = aes(x = time_elapsed, ymin = phenotype_value.NC.lower, ymax = phenotype_value.NC.upper, fill = "red",

Plotly Facets not translating properly

江枫思渺然 提交于 2020-01-21 23:55:27
问题 I've found that with Plotly with R, when I'm faceting plots, they often don't translate properly from R to Plotly. For example, my graph plotted in R looks like so: When I send it to plotly, it looks like so: (Some data has been hidden from both plots for confidentiality reasons) My code looks like so: plot <- ggplot(sytoxG_data_no_NC) + geom_ribbon(data = confidence_intervals_SG, mapping = aes(x = time_elapsed, ymin = phenotype_value.NC.lower, ymax = phenotype_value.NC.upper, fill = "red",

Plotly Facets not translating properly

╄→гoц情女王★ 提交于 2020-01-21 23:55:09
问题 I've found that with Plotly with R, when I'm faceting plots, they often don't translate properly from R to Plotly. For example, my graph plotted in R looks like so: When I send it to plotly, it looks like so: (Some data has been hidden from both plots for confidentiality reasons) My code looks like so: plot <- ggplot(sytoxG_data_no_NC) + geom_ribbon(data = confidence_intervals_SG, mapping = aes(x = time_elapsed, ymin = phenotype_value.NC.lower, ymax = phenotype_value.NC.upper, fill = "red",

Plotly Facets not translating properly

≯℡__Kan透↙ 提交于 2020-01-21 23:55:05
问题 I've found that with Plotly with R, when I'm faceting plots, they often don't translate properly from R to Plotly. For example, my graph plotted in R looks like so: When I send it to plotly, it looks like so: (Some data has been hidden from both plots for confidentiality reasons) My code looks like so: plot <- ggplot(sytoxG_data_no_NC) + geom_ribbon(data = confidence_intervals_SG, mapping = aes(x = time_elapsed, ymin = phenotype_value.NC.lower, ymax = phenotype_value.NC.upper, fill = "red",

R Plotly: how to order pie chart?

不想你离开。 提交于 2020-01-21 11:51:06
问题 I'm using the plotly package in R to build an R Shiny dashboard. I want to order my pie chart in a custom order (non-alphabetic, non-descending/ascending order). For some reason I can't find how to achieve this. Help would be highly appreciated! # Get Manufacturer mtcars$manuf <- sapply(strsplit(rownames(mtcars), " "), "[[", 1) df <- mtcars %>% group_by(manuf) %>% summarize(count = n()) # Create custom order customOrder <- c(df$manuf[12:22],df$manuf[1:11]) # Order data frame df <- df %>%