iRe.py 0.4.1

Export tables and plots from Jupyter notebooks, along with metadata for embedding interactive tables in downstream apps.

iRe.py

"Export" tables and plots from Jupyter notebooks, for interactive viewing on the web.

iRe/www is the accompanying web app (demo: ire.runsascoded.com), which renders notebooks exported by iRe.py as interactive "reports."

• Installation
• Usage
• Testing
  • Local
    • macOS
    • Ubuntu
  • CI
  • Updating tests

Installation

pip install ire.py

Usage

Wrap the final expression in a notebook cell in ire.export:

from ire import export
import pandas as pd

df = pd.DataFrame({'n': list(range(1000)), 'square': [n**2 for n in range(1000)]})

# Previews DataFrame as usual, in Jupyter, but also
# saves the full DF to a file (Parquet, by default).
export(df)

Supported types:

• pandas.DataFrame (export as Parquet or SQLite)
• plotly.Figure

See also: examples/

• export-test.ipynb
• export-test-no-dvc.ipynb

Testing

Tests execute the notebooks in examples/ above, and verify the notebooks and exported files are unchanged (vs. HEAD).

Local

macOS

To run tests locally:

examples/run-tests.sh

# Or, run+validate a specific notebook:
cd examples
run-tests.sh export-test.ipynb

Ubuntu

The exported SQLite tables in export-test.ipynb and export-test-no-dvc.ipynb are not byte-for-byte identical across platforms:

db_hex() {
  git show "$1:examples/.ire/state_stats2.db" | hexdump -C
}
diff <(db_hex HEAD) <(db_hex ubuntu)
# 7c7
# < 00000060  00 2e 6e ba 0d 00 00 00  02 0c e4 00 0d 39 0c e4  |..n�......�..9.�|
# ---
# > 00000060  00 2e 63 01 0d 00 00 00  02 0c e4 00 0d 39 0c e4  |..c.......�..9.�|

The ubuntu branch points at a commit that patches them to the expected values. You'll want to cherry-pick it into your branch, to get tests passing on Ubuntu (as CI does, below).

CI

See .gitlab-ci.yml.

This cherry-picks the ubuntu branch, to patch tests' expected SQLite DBs, before running them.

Updating tests

docker/build.sh
docker run --rm -it -v $PWD/.git:/root/src/.git -v $PWD/.dvc/cache:/root/src/.dvc/cache ire.py

See build.sh, Dockerfile, entrypoint.sh.