library(reticulate)
knitr::knit_engines$set(python = eng_python)

Python variables live across chunk boundaries.

x = 1
y = 2
print(x)
print(y)

Plots generated by matplotlib are properly displayed.

```{python, fig.width = 4, fig.height = 3, dev = 'svg'} import matplotlib.pyplot as plt

plt.plot([1, 2, 3, 4]) plt.show()

plt.plot([1, 2, 3, 4]) plt.show()

Python can access objects available in the R environment.

```r
x <- 1:5
y <- 6:10
print (r.x)
print (r['y'])

r.hello = "World"
r['answer'] = 42
print(hello)
print(answer)

Arbitrary R code can be evaluated from Python.

mpg = r["mtcars$mpg[1:5]"]
print(mpg)
y = "a,b,c".split(",")
print(y)

```{python echo=FALSE} print ("Chunk with echo = FALSE")

- #130: The `results` chunk option is respected for Python outputs. Source, but not output, should show in the following output.

```{python results='hide'}
print ("Chunk with results = 'hide'")

```{python include=FALSE} print ("Chunk with include = FALSE")

- #130: The `eval` chunk option is respected for Python outputs.

```{python eval=FALSE}
# We have set 'eval = FALSE' here
r["abc"] = 1
exists("abc", envir = globalenv())

Respect the error=TRUE chunk option -- allow execution even after a Python error occurs.

```{python, error=TRUE} raise RuntimeError("oops!") print ("This line is still reached.")

Ensure that lines with multiple statements are only run once.

```{python}
print("abc"); print("123")


Mormukut11/R-interface-to-Python documentation built on May 21, 2019, 9:36 a.m.