MarcoGorelli

cargo test --package polars --test it --all-features -- core::pivot::test_pivot_new

MarcoGorelli

import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import numpy as np

fig, ax = plt.subplots()

timings = np.array([11, 360, 573, 758])
total_timings = np.vstack([timings, 1000 - timings])
inner = total_timings[:, 0]
mid = total_timings[:, 1]

MarcoGorelli

# ruff: noqa
import sys
"""
Find cases where docstring bullet points will not render correctly in the documentation.
Do this:
```
Here is a list of things:

- thing 1
- thing 2

MarcoGorelli

if __name__ == "__main__":
    files = subprocess.run(
        ["git", "ls-files"], capture_output=True, text=True
    ).stdout.split()
    ret = 0
    for file in files:
        if not file.endswith(".py"):
            continue
        with open(file) as fd:
            content = fd.read()

MarcoGorelli

deactivate
cp bytecode-parsing-tests.sh ../../temporary-polars-files/
cp just-make-it-anew.sh ../../temporary-polars-files/
cp pre-commit.sh ../../temporary-polars-files/
cp repl.sh ../../temporary-polars-files/
cp ../.vscode/settings.json ../../temporary-polars-files/
git clean -fxfd ../.
cargo clean
rustup self uninstall
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y

MarcoGorelli

ipython -i -c 'import pandas as pd; \
    from pandas.core.arrays import *; \
    import polars as pl; \
    from datetime import datetime, timezone, timedelta; \
    from pandas._libs.tslibs.parsing import guess_datetime_format; \
    from dateutil.parser import parse as du_parse; \
    import datetime as dt; \
    import numpy as np; \
    from pandas import *; \
    import pandas; \

MarcoGorelli

// ==UserScript==
// @name         myshipit
// @author       marcogorelli
// @match        https://github.com/*
// adapted from https://github.com/chriskuehl/shipit/blob/master/shipit.user.js,
// but I removed a handful of gifs (like the pikachu one) which I didn't like
// ==/UserScript==

(function () {
    var urls = [

MarcoGorelli

# usage:
# python -m cProfile  -o out.prof perf.py
# snakeviz out.prof --server

import pandas as pd

dates = pd.date_range("1900", "2000").tz_localize("+01:00").strftime("%Y-%d-%m %H:%M:%S%z").tolist()
dates.append("2020-01-01 00:00:00+02:00")

def main():

MarcoGorelli

import sys
import subprocess
import re
import shlex
import argparse

parser = argparse.ArgumentParser()
parser.add_argument('command')
parser.add_argument('action', choices=['pull', 'push'])
args = parser.parse_args()

MarcoGorelli

import bornly as bns
import numpy as np
import pandas as pd
from pmdarima import auto_arima
from statsmodels.tsa.statespace.sarimax import SARIMAX

flights = bns.load_dataset("flights")
flights["t"] = np.arange(len(flights))
PERIOD = 12
n_steps = 12