4b-python-demo.Rmd

---
title: "Quick Demo of Python and R"
subtitle: "Analytics Sandbox"
author: "K. Bret Staudt Willet | Florida State University"
date: "February 14, 2023"

---

```{r setup, message=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(reticulate)
library(dplyr)
```

## Indicate Specific Conda Environment

```{r set_python_env}
reticulate::use_condaenv("~/r-reticulate")
```

## Import Python Packages (will use "~/r-reticulate" as per call to use_condaenv)

```{python initialized}
import pandas as pd
import seaborn as sb
import matplotlib.pyplot as plt
```

## Look at Flowers with Python

For a quick demo, see:
https://medium.com/save-the-data/how-to-use-python-in-r-with-reticulate-and-conda-36685534f06a

```{r load_iris_data}
data("iris")
iris_df <- iris
```

```{python explore_iris}
iris_dataset = r.iris_df
iris_dataset["Species"].describe()
```

```{python boxplot_iris}
plt.clf()
sb.set_style("ticks")
#sb.set_context("paper")

iris_dataset["Species"].describe()
iris_dataset["Petal.Length"].describe()
sb.boxplot(data = iris_dataset, x = "Species", y = "Petal.Length")
plt.show()
```

```{python matrix_iris}
plt.clf()
sb.set_style("ticks")
#sb.set_context("paper")

p = sb.pairplot(iris_dataset, hue="Species")
plt.show()
```

## Look at Star Wars with Python

```{r load_starwars_data}
data("starwars")
sw_df <- starwars
names(sw_df)
```

```{python explore_starwars}
sw_dataset = r.sw_df
sw_dataset["gender"].describe()
```

```{python boxplot_starwars}
plt.clf()
sb.set_style("ticks")
#sb.set_context("paper")

sw_dataset["gender"].describe()
sw_dataset["mass"].describe()
sb.boxplot(data = sw_dataset, x = "gender", y = "mass")
plt.show()
```

```{python matrix_starwars}
plt.clf()
sb.set_style("ticks")
#sb.set_context("paper")

p2 = sb.pairplot(sw_dataset, hue="gender")
plt.show()
```