---
title: Python3 in RMarkdown on CoCalc
---

```{r setup,  include=TRUE}
# set include=FALSE to hide the setup
library(reticulate)
use_python("/usr/bin/python3")
```

```{python}
import sys
print(sys.executable)
print(sys.version)
import numpy as np
x = np.array([1,2,3,-1,2.3,12])
```


## Plotting

```{python}
import numpy as np
import matplotlib.pyplot as plt
xx = np.linspace(0, 10, 1000)
yy = np.sin(2 * np.exp(-xx))
plt.plot(xx, yy)
plt.show()
```

## R still works, too

plotting same plot via R

```{r}
plot(py$xx, py$yy, type = 'l', col = "blue", lwd=2)
```

## Interactions between R and Python

This uses the [reticulate](https://github.com/rstudio/reticulate) R library:

Retrieve the value of `x` from the Python session again:

```{r}
py$x
```

```{r}
summary(py$x)
```

Assign to a variable in the Python session from R:

```{r}
py$y = 1:5
```

See the value of `y` in the Python session:

```{python}
print(y)
```

```{r include = FALSE}

# colorFunc <- "heat.colors"
colorFunc <- "terrain.colors"
# colorFunc <- "topo.colors"
# colorFunc <- "cm.colors"
# colorFunc <- "rainbow"
```

Base R comes with many functions for generating colors. The code below demonstrates the `r colorFunc` function.

Blah blah!

## `r colorFunc`

```{r fig.cap = "The Maunga Whau volcano.", echo = FALSE}
image(volcano, col = get(colorFunc)(5))
```




Collaborative Calculation and Data Science

colby

sagemath

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place. Commercial Alternative to JupyterHub.

Plotting

R still works, too

Interactions between R and Python

`r colorFunc`

Product

Resources

Company

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more, all in one place. Commercial Alternative to JupyterHub.

Plotting

R still works, too

Interactions between R and Python

r colorFunc

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place. Commercial Alternative to JupyterHub.

`r colorFunc`