This is a tiny data manipulation library, very loosely based on pandas. The core object is just a dict of lists (where each list has the same length). We tack on a bunch of methods and call it a frame.
It is not fast, but it is very simple.
pip install lesser
It's most easily understood by example!
import lesser as lpd
import numpy as np
frame = lpd.from_dicts([
dict(name="Alice", day=0, sleep_mins=500, reaction_time=60),
dict(name="Alice", day=1, sleep_mins=420, reaction_time=81),
dict(name="Bob", day=0, sleep_mins=540, reaction_time=62),
dict(name="Bob", day=1, sleep_mins=520, reaction_time=71),
dict(name="Charles", day=0, sleep_mins=340, reaction_time=88),
dict(name="Charles", day=1, sleep_mins=410, reaction_time=94),
])
print(frame['name'])
reactions_by_sleep = (
frame.compute_key("sleep_hours", lambda x: x['sleep_mins'] // 60)
# group_by makes a frame with key=[some computed key] and values=[a frame with all original items with that same computed key]
.group_by("sleep_hours")
.compute_key("sleep_hours", lambda x: x["key"])
.compute_key(
"average_reaction_time", lambda x: np.mean(x["values"]["reaction_time"])
)
.sort_by(lambda x: x["sleep_hours"])
)
print(reactions_by_sleep)
import matplotlib.pyplot as plt
# A misleading chart
plt.plot(
reactions_by_sleep["sleep_hours"],
reactions_by_sleep["average_reaction_time"],
)
plt.show()There's no other documentation, so you'll have to read the source (which is quite short).
pytest