Jupyter R Plotly 404 eror with sample code -

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i tried run plotly r chart in jupyter here , get:

404 not found error.

the code follows

library(plotly)  set.seed(123)  x <- rnorm(1000) y <- rchisq(1000, df = 1, ncp = 0) group <- sample(letters[1:5], size = 1000, replace = t) size <- sample(1:5, size = 1000, replace = t)  ds <- data.frame(x, y, group, size)  p <- plot_ly(ds, x = x, y = y, mode = "markers", group = group, size = size) %>%   layout(title = "scatter plot") embed_notebook(p,file="/jupyter notebooks/plotlyjupyterhtml/test3.html")

the terminal has error message:

404 /jupyter%20notebooks/plotlyjupyterhtml/test3.html.embed (::1) 6.51ms referer=http://localhost:8888/notebooks/plotly%20%in%20r%20testing-copy1-ipynd

there file in directory d:\jupyter notebooks\plotlyjupyterhtml\test3.html not 1 additional extension .embed.

the html file has data , creates correct chart when opened in firefox.

it seems statement may have wrong file name appreciate insight work.

here session info:

session info ------------------------------------------------------------------- packages -----------------------------------------------------------------------  setting  value                         version  r version 3.3.1 (2016-06-21)  system   i386, mingw32                 ui       rterm                         language (en)                          collate  english_united states.1252    tz       america/new_york              date     2016-07-11                      package     * version date       source                               assertthat    0.1     2013-12-06 cran (r 3.3.1)                       base64enc     0.1-3   2015-07-28 cran (r 3.3.0)                       colorspace    1.2-6   2015-03-11 cran (r 3.3.1)                       devtools      1.12.0  2016-06-24 cran (r 3.3.1)                       digest        0.6.9   2016-01-08 cran (r 3.3.1)                       evaluate      0.9     2016-04-29 cran (r 3.3.1)                       ggplot2     * 2.1.0   2016-03-01 cran (r 3.3.1)                       gridextra     2.2.1   2016-02-29 cran (r 3.3.1)                       gtable        0.2.0   2016-02-26 cran (r 3.3.1)                       htmltools     0.3.5   2016-03-21 cran (r 3.3.1)                       htmlwidgets   0.6     2016-02-25 cran (r 3.3.1)                       httr          1.2.1   2016-07-03 cran (r 3.3.1)                       irdisplay     0.4.1   2016-07-09 github (irkernel/irdisplay@8e24901)  irkernel      0.6     2016-07-09 github (irkernel/irkernel@8cdfe5e)   jsonlite      1.0     2016-07-01 cran (r 3.3.1)                       magrittr      1.5     2014-11-22 cran (r 3.3.1)                       memoise       1.0.0   2016-01-29 cran (r 3.3.1)                       munsell       0.4.3   2016-02-13 cran (r 3.3.1)                       pbdzmq        0.2-3   2016-05-20 cran (r 3.3.1)                       plotly      * 3.6.0   2016-05-18 cran (r 3.3.1)                       plyr          1.8.4   2016-06-08 cran (r 3.3.1)                       r6            2.1.2   2016-01-26 cran (r 3.3.1)                       rcpp          0.12.5  2016-05-14 cran (r 3.3.1)                       repr          0.7     2016-05-13 cran (r 3.3.1)                       scales        0.4.0   2016-02-26 cran (r 3.3.1)                       stringi       1.1.1   2016-05-27 cran (r 3.3.0)                       stringr       1.0.0   2015-04-30 cran (r 3.3.1)                       tibble        1.1     2016-07-04 cran (r 3.3.1)                       tidyr         0.5.1   2016-06-14 cran (r 3.3.1)                       uuid          0.1-2   2015-07-28 cran (r 3.3.0)                       viridis       0.3.4   2016-03-12 cran (r 3.3.1)                       withr         1.0.2   2016-06-20 cran (r 3.3.1)                       yaml          2.1.13  2014-06-12 cran (r 3.3.1)

i had same issue in macos. workaround did,

p <- plot_ly(ds, x = x, y = y, mode = "markers", group = group, size = size) htmlwidgets::savewidget(as.widget(p), "index.html") rawhtml <- paste(readlines("index.html"), collapse="\n") display_html(rawhtml)

this not best solution, time being works me.


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