@@ -3,27 +3,27 @@ The PUDL Data Catalog
33
44.. readme-intro
55
6- .. image :: https://www.repostatus.org/badges/latest/concept.svg
7- :target: https://www.repostatus.org/#concept
8- :alt: Project Status: Concept - Minimal or no implementation has been done yet, or the repository is only intended to be a limited example, demo, or proof-of-concept.
9-
106 .. image :: https://github.com/catalyst-cooperative/pudl-catalog/workflows/tox-pytest/badge.svg
117 :target: https://github.com/catalyst-cooperative/pudl-catalog/actions?query=workflow%3Atox-pytest
128 :alt: Tox-PyTest Status
139
14- .. image :: https://img.shields.io/codecov/c/github/catalyst-cooperative/pudl-catalog
10+ .. image :: https://img.shields.io/codecov/c/github/catalyst-cooperative/pudl-catalog?style=flat&logo=codecov
1511 :target: https://codecov.io/gh/catalyst-cooperative/pudl-catalog
1612 :alt: Codecov Test Coverage
1713
18- .. image :: https://img.shields.io/pypi/v/catalystcoop.pudl_catalog
14+ .. image :: https://img.shields.io/readthedocs/catalystcoop-pudl-catalog?style=flat&logo=readthedocs
15+ :target: https://catalystcoop-pudl-catalog.readthedocs.io/en/latest/
16+ :alt: Read the Docs Build Status
17+
18+ .. image :: https://img.shields.io/pypi/v/catalystcoop.pudl_catalog?style=flat&logo=python
1919 :target: https://pypi.org/project/catalystcoop.pudl_catalog/
2020 :alt: PyPI Latest Version
2121
22- .. image :: https://img.shields.io/conda/vn/conda-forge/catalystcoop.pudl_catalog
22+ .. image :: https://img.shields.io/conda/vn/conda-forge/catalystcoop.pudl_catalog?style=flat&logo=condaforge
2323 :target: https://anaconda.org/conda-forge/catalystcoop.pudl_catalog
2424 :alt: conda-forge Version
2525
26- .. image :: https://img.shields.io/pypi/pyversions/catalystcoop.pudl_catalog
26+ .. image :: https://img.shields.io/pypi/pyversions/catalystcoop.pudl_catalog?style=flat&logo=python
2727 :target: https://pypi.org/project/catalystcoop.pudl_catalog
2828 :alt: Supported Python Versions
2929
@@ -121,7 +121,7 @@ this is weird).
121121 pudl_cat = intake.cat.pudl_cat
122122 list (pudl_cat)
123123
124- .. code :: txt
124+ .. code :: text
125125
126126 ['hourly_emissions_epacems', 'hourly_emissions_epacems_partitioned']
127127
@@ -135,7 +135,7 @@ but with all the Jinja template fields interpolated and filled in:
135135
136136 pudl_cat.hourly_emissions_epacems
137137
138- .. code :: txt
138+ .. code :: text
139139
140140 hourly_emissions_epacems:
141141 args:
@@ -172,7 +172,7 @@ types:
172172
173173 pudl_cat.hourly_emissions_epacems.discover()
174174
175- .. code :: txt
175+ .. code :: text
176176
177177 {'dtype': {'plant_id_eia': 'int32',
178178 'unitid': 'object',
@@ -243,15 +243,14 @@ on that dataframe to actually read the data and return a pandas dataframe:
243243 " co2_mass_tons" ,
244244 ]].head()
245245
246- ==== ============== ======== ========================= ====== ======= ============= ============= ====================== =============== ==================== ===============
247- .. plant_id_eia unitid operating_datetime_utc year state facility_id unit_id_epa operating_time_hours gross_load_mw heat_content_mmbtu co2_mass_tons
248- ==== ============== ======== ========================= ====== ======= ============= ============= ====================== =============== ==================== ===============
249- 0 469 4 2019-01-01 07:00:00+00:00 2019 CO 79 298 1 203 2146.2 127.2
250- 1 469 4 2019-01-01 08:00:00+00:00 2019 CO 79 298 1 203 2152.7 127.6
251- 2 469 4 2019-01-01 09:00:00+00:00 2019 CO 79 298 1 204 2142.2 127
252- 3 469 4 2019-01-01 10:00:00+00:00 2019 CO 79 298 1 204 2129.2 126.2
253- 4 469 4 2019-01-01 11:00:00+00:00 2019 CO 79 298 1 204 2160.6 128.1
254- ==== ============== ======== ========================= ====== ======= ============= ============= ====================== =============== ==================== ===============
246+ .. csv-table ::
247+ :header: plant_id_eia, unitid, operating_datetime_utc, year, state, facility_id, unit_id_epa, operating_time_hours, gross_load_mw, heat_content_mmbtu, co2_mass_tons
248+
249+ 469,4,2019-01-01 07:00:00+00:00,2019,CO,79,298,1.0,203.0,2146.2,127.2
250+ 469,4,2019-01-01 08:00:00+00:00,2019,CO,79,298,1.0,203.0,2152.7,127.6
251+ 469,4,2019-01-01 09:00:00+00:00,2019,CO,79,298,1.0,204.0,2142.2,127.0
252+ 469,4,2019-01-01 10:00:00+00:00,2019,CO,79,298,1.0,204.0,2129.2,126.2
253+ 469,4,2019-01-01 11:00:00+00:00,2019,CO,79,298,1.0,204.0,2160.6,128.1
255254
256255Benefits of Intake Catalogs
257256---------------------------
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