Display python plotly graph in RMarkdown html document

Question

Why plotly package of python can not display figure in RMarkdown but matplotlib can? For example:

 ```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE)
```

```{r}
library(plotly)
subplot(
     plot_ly(mpg, x = ~cty, y = ~hwy, name = 'default'),
     plot_ly(mpg, x = ~cty, y = ~hwy) %>%
         add_markers(alpha = 0.2, name = 'alpha'),
     plot_ly(mpg, x = ~cty, y = ~hwy) %>%
         add_markers(symbols = I(1), name = 'hollow')
 )
```

```{python}
import plotly
import plotly.plotly as py
import plotly.graph_objs as go
import numpy as np

plotly.tools.set_credentials_file(username='xxx', api_key='xxx')

N = 500
trace0 = go.Scatter(x = np.random.randn(N), y = np.random.randn(N) + 2, name = "Above", mode = "markers",
marker = dict(size = 10, color = "rgba(152, 0, 0, .8)", line = dict(width = 2, color = "rgb(0,0,0)")))

trace1 = go.Scatter(x = np.random.randn(N), y = np.random.randn(N) - 2, name = "below", mode = "markers",
marker = dict(size = 10, color = "rgba(255, 182, 193, .9)", line = dict(width = 2, color = "rgb(0,0,0)")))

data = [trace0, trace1]
layout = dict(title = "Styled Scatter", yaxis = dict(zeroline = False), xaxis = dict(zeroline=False))
fig = dict(data = data, layout = layout)
py.iplot(fig, filename = "styled-scatter")
```

The R code can work well, but the python code can not dispay the figure, what is wrong with the code?

Answer 1

Here is what I did:

1. used plotly offline:
   • replace import plotly.plotly as py by import plotly.offline as py
   • no need to set username and api key in offline mode.
2. used py.plot(fig, filename = "styled-scatter.html", auto_open=False):
   • py.iplot() is for Jupyter notebooks (it embeds the plot directly into the Notebook)
   • auto_open = False argument is to avoid that the plot pops up.

3. embedded the html plot into the Rmarkdown by using the following:

   ```{r, echo=FALSE}
   htmltools::includeHTML("styled-scatter.html")
   ```
   

   and here is the result: