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library(knitractive) library(rexpect) library(rlang) start(name = "python", command = cmd_docker(command = "python3", image = "continuumio/anaconda3", volume = list2(!!getwd() := "/data")), prompt = prompts$python, keep_session = FALSE)
In this example, we're using the continuumio/anaconda3 docker image to run Python.
import numpy as np import pandas as pd import matplotlib Enter#! literal = FALSE matplotlib.use('agg') pd.__version__
Because knitractive
employs the tmuxr package under the hood, the python session is maintained, and we can continue where we left off.
ts = pd.DataFrame({"value": np.random.randn(1000)}, index=pd.date_range('1/1/2000', periods=1000)) ts = ts.cumsum() ts.head()#! enter = FALSE, expect_prompt = FALSE
```{python, include = FALSE} C-c#! literal = FALSE, expect_prompt = TRUE ts.head().to_html("/data/python_ts.html", border=0)
```r htmltools::includeHTML("python_ts.html") unlink("python_ts.html")
We've mapped the current working directory on the host to the directory /data/
inside the docker container, so that we can include generated figures.
ts.plot() #! enter = FALSE, expect_prompt = FALSE
```{python, include = FALSE} C-c #! wait = 0.2, literal = FALSE, expect_prompt = TRUE ts.plot().figure.savefig("/data/python_ts.png", dpi = 200)
```r knitr::include_graphics(paste0(getwd(), "/python_ts.png"))
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