本文介绍了在 RMarkdown html 文档中显示 python 绘图图的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
为什么python的plotly包不能在RMarkdown中显示图形而matplotlib可以?例如:
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")
```
R代码可以正常工作,但是python代码显示不出来,代码有什么问题?
The R code can work well, but the python code can not dispay the figure, what is wrong with the code?
推荐答案
这是我所做的:
- 离线使用:
- 将
import plotly.plotly as py
替换为import plotly.offline as py
- 离线模式下无需设置用户名和api key.
- 将
py.iplot()
用于 Jupyter 笔记本(它将绘图直接嵌入到笔记本中)auto_open = False
参数是为了避免情节弹出.
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.
使用以下代码将 html 图嵌入到 Rmarkdown 中:
embedded the html plot into the Rmarkdown by using the following:
```{r, echo=FALSE}
htmltools::includeHTML("styled-scatter.html")
```
结果如下:
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