Kanaries/pygwalker 0.3.20 on GitHub

About Pygwalker 0.3.20

1. metric templates

Explore additional feature development within Pygwalker, such as the introduction of metric templates.

This will save users the process of writing sql to calculate metrics, currently still in POC stage, example:

# Charts of retained the next day and daily new users
# Chart components base on the altair

from pygwalker.data_parsers.database_parser import Connector
from pygwalker_tools.metrics import MetricsChart

conn = Connector(
    "snowflake://user_name:passowrd@host/database",
    """SELECT * FROM xxx"""
)

retention = MetricsChart(
    conn,
    {"date": "your_date_field", "user_id": "your_user_id_field", "user_signup_date": "your_xxx_field"},
    params={"time_unit": "day", "time_size": 1}
).retention()

new_user_count = MetricsChart(conn, {"date": "your_date_field", "user_id": "your_user_id_field", "user_signup_date": "your_xxx_field"}).new_user_count().properties(height=60)

retention & new_user_count

2. login-cli

A command-line tool has been incorporated to make it easier for users to set kanaries tokens locally.

pygwalker login

Others

In addition, This would be the last version of pygwalker 0.3.

Pygwalker 0.4.0 will be released next week, include custom metric calculations.

Thanks for your ongoing support and stay tuned for the upcoming features in Pygwalker!

Feat

feat: add metrics chart feature #372
feat: add login-cli to set kanaries token #374
feat: data parser add new param: infer_number_to_dimension #375
feat: metrics chart add new chart #376

Chore

chore: update method(track_event) annotation #373

@longxiaofei

Full Changelog: 0.3.19...0.3.20