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Fix docs: site URL, emoji rendering, pip→uv, and code snippet errors
- Change site_url and all docs links from chekos.github.io/pypums to pypums.readthedocs.io - Add pymdownx.emoji extension to mkdocs.yml so :octicons-*: icons render - Replace all pip install references with uv add across docs and README - Remove pip/uv tabbed sections (just show uv) - Add Documentation URL to pyproject.toml - Fix multi-year.md: get_acs() state param only accepts str, not list - Fix spatial.md: parameter name n → dots_per_value in troubleshooting - Fix pums-microdata.md: pums_variables() → pypums.datasets.pums_variables() - Fix population-estimates.md: add missing AGEGROUP codes 13-17,30; expand abbreviated RACE labels to match source code - Add .claude/launch.json for mkdocs dev server Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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‎.claude/launch.json‎

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{
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"version": "0.0.1",
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"configurations": [
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{
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"name": "mkdocs",
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"runtimeExecutable": "uv",
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"runtimeArgs": ["run", "mkdocs", "serve"],
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"port": 8000
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}
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]
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}

‎CONTRIBUTING.md‎

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You can contribute by spreading a word about this library. It would also be a huge contribution to write a short article on how you are using this project. You can also share your best practices with us.
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See the full [contributing guide](https://chekos.github.io/pypums/about/contributing/) for more details.
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See the full [contributing guide](https://pypums.readthedocs.io/about/contributing/) for more details.

‎README.md‎

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## Installation
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```bash
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pip install pypums
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uv add pypums
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```
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For spatial/mapping support:
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```bash
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pip install "pypums[spatial]"
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uv add "pypums[spatial]"
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```
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## Census API Key
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## Documentation
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Full documentation: [https://chekos.github.io/pypums](https://chekos.github.io/pypums)
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Full documentation: [https://pypums.readthedocs.io](https://pypums.readthedocs.io)
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## Development
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‎docs/getting-started/installation.md‎

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## Install PyPUMS
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=== "pip"
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```bash
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pip install pypums
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```
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=== "uv"
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```bash
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uv add pypums
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```
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```bash
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uv add pypums
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```
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This installs PyPUMS and its core dependencies:
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If you plan to work with shapefiles, choropleths, or any geometry (the `geometry=True` parameter), install the spatial extras:
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=== "pip"
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```bash
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pip install "pypums[spatial]"
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```
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=== "uv"
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```bash
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uv add "pypums[spatial]"
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```
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```bash
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uv add "pypums[spatial]"
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```
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This adds [`geopandas`](https://geopandas.org/) and its dependencies (`shapely`, `pyproj`, `fiona`), which enable PyPUMS to fetch TIGER/Line shapefiles and return `GeoDataFrame` objects.
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running. Check with:
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```bash
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pip show pypums
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uv pip show pypums
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```
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If nothing is printed, install it again:
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```bash
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pip install pypums
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uv add pypums
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```
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??? question "I get `ValueError: No Census API key found`"
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You need the spatial extras. Install them with:
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```bash
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pip install "pypums[spatial]"
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uv add "pypums[spatial]"
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```
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## Next steps

‎docs/getting-started/quickstart.md‎

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## 2. Make a map -- Tract-level choropleth
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Fetch tract-level poverty rates for Los Angeles County and plot a choropleth. This requires the `spatial` extras (`pip install "pypums[spatial]"`).
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Fetch tract-level poverty rates for Los Angeles County and plot a choropleth. This requires the `spatial` extras (`uv add "pypums[spatial]"`).
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```python
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import pypums

‎docs/guides/acs-data.md‎

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!!! note "Optional dependency"
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`geometry=True` requires `geopandas`. Install it with
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`pip install pypums[spatial]` or `pip install geopandas`.
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`uv add "pypums[spatial]"`.
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---
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**`ImportError: geopandas`**
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: Geometry support requires the spatial extras. Install them with
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`pip install "pypums[spatial]"`.
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`uv add "pypums[spatial]"`.
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**`moe_level must be one of [90, 95, 99]`**
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‎docs/guides/decennial-data.md‎

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!!! note "Optional dependency"
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`geometry=True` requires `geopandas`. Install with
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`pip install pypums[spatial]` or `pip install geopandas`.
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`uv add "pypums[spatial]"`.
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---
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‎docs/guides/migration-flows.md‎

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The `geometry=True` option requires `geopandas` to be installed:
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```shell
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pip install pypums[spatial]
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uv add "pypums[spatial]"
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```
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## Caching

‎docs/guides/multi-year.md‎

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frames = []
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for year in years:
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df = pypums.get_acs(
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geography="state",
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variables="B01001_001",
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state=states,
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year=year,
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survey="acs5",
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cache_table=True, # cache to avoid re-fetching
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)
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df["year"] = year
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frames.append(df)
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for st in states:
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df = pypums.get_acs(
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geography="state",
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variables="B01001_001",
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state=st,
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year=year,
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survey="acs5",
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cache_table=True, # cache to avoid re-fetching
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)
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df["year"] = year
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frames.append(df)
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trend = pd.concat(frames, ignore_index=True)
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‎docs/guides/population-estimates.md‎

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| 10 | Age 18 to 64 years |
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| 11 | Age 18 years and over |
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| 12 | Age 65 years and over |
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| 13 | Under 18 years |
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| 14 | 5 to 13 years |
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| 15 | 14 to 17 years |
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| 16 | 18 to 64 years |
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| 17 | 16 years and over |
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| 18 | Under 5 years |
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| 29 | Age 0 to 14 years |
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| 30 | Age 15 to 44 years |
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| 31 | Age 16 years and over |
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=== "SEX"
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| 6 | Two or more races |
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| 7 | White alone or in combination |
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| 8 | Black alone or in combination |
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| 9 | AIAN alone or in combination |
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| 9 | American Indian and Alaska Native alone or in combination |
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| 10 | Asian alone or in combination |
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| 11 | NHPI alone or in combination |
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| 11 | Native Hawaiian and Other Pacific Islander alone or in combination |
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=== "HISP"
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!!! note "Optional dependency"
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`pip install pypums[spatial]` or `pip install geopandas`.
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`uv add "pypums[spatial]"`.
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---
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