v0.31.0 #1543
Workflow file for this run
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on: | |
pull_request: | |
types: [opened, synchronize] | |
push: | |
branches: | |
- main | |
name: Test Woodwork without Test Dependencies | |
jobs: | |
use_woodwork_without_test_dependencies: | |
name: Test Woodwork without Test Dependencies | |
runs-on: ubuntu-latest | |
strategy: | |
fail-fast: false | |
steps: | |
- name: Set up python 3.9 | |
uses: actions/setup-python@v4 | |
with: | |
python-version: "3.9" | |
- name: Checkout repository | |
uses: actions/checkout@v3 | |
with: | |
ref: ${{ github.event.pull_request.head.ref }} | |
repository: ${{ github.event.pull_request.head.repo.full_name }} | |
- name: Build woodwork and install | |
run: | | |
make package | |
python -m pip install unpacked_sdist/ | |
- name: Run simple woodwork usage | |
run: | | |
import pandas as pd | |
import woodwork as ww | |
df = ww.demo.load_retail(nrows=100, init_woodwork=False) | |
df.ww.init(name="retail") | |
logical_types = list({k: str(v) for k, v in df.ww.logical_types.items()}.values()) | |
assert logical_types == ['Integer', 'Integer', 'Unknown', 'NaturalLanguage', 'Integer', 'Datetime', 'Double', 'Categorical', 'Categorical', 'Double', 'Boolean'] | |
filtered_df = df.ww.select(include=['numeric', 'Boolean']) | |
assert filtered_df.shape == (100, 6) | |
shell: python |