egutierrez
dabc945eda
Extrae al registry funciones del proyecto interno footprint_aurgi: - core (6): slugify_ascii, normalize_for_join, cp_provincia_es, infer_provincia_from_cp, safe_read_csv_fallback, csv_to_parquet_duckdb - geo puras (7): haversine_km, point_in_ring, point_in_polygon, point_in_polygons_bbox, polygon_bbox, extent_with_padding, distance_bucket - geo I/O (4): load_geojson_polygons, load_boundary_gdf, add_basemap_osm, add_basemap_with_timeout - valhalla client (4): valhalla_route, valhalla_isochrone, valhalla_isochrones_async, valhalla_matrix_1_to_n - datascience stats (7): trimmed_mean, geometric_mean, detect_distribution_type, best_central_tendency, summary_stats, kde_density_levels, alpha_shape_concave_hull - datascience fuzzy (3): fuzzy_merge_adaptive (rapidfuzz), words_to_dataset, remove_words_from_column - datascience viz (2): plot_kde_2d, plot_heatmap_log - infra (4): compress_pdf_ghostscript, render_table_page_pdfpages, add_header_logo, osm2pgsql_ingest - pipelines (4): setup_geo_stack_docker, compute_centers_reachability, generate_isochrones_by_zone, count_points_per_zone - types geo (4): LonLat, BBox, IsochroneRequest, Centro Incluye: - apps/footprint_geo_stack/ (PostGIS + Martin + Valhalla via docker-compose) - 131/132 tests pasan (1 skip esperado: osm2pgsql en PATH) - Issue tracker dev/issues/0052-footprint-aurgi-extraction.md - Atribucion uniforme: source_repo internal:footprint_aurgi, source_license internal-aurgi - Build con 9 agentes en paralelo (8 wave 1 + 1 wave 2 pipelines) Tambien commitea trabajo previo no commiteado: aggregate_extraction_results, chunk_with_overlap, clean_pdf_text, merge_entity_aliases, extract_graph_gliner2, extract_relations_mrebel, extract_triples_spacy_es, gliner2/mrebel/marianmt/rebel/spacy_es load_model, parse_rebel_output, translate_es_to_en, issue 0050/0051. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
"""Add a logo image as an inset axes header to a matplotlib figure."""
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from __future__ import annotations
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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import numpy as np
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from matplotlib.figure import Figure
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def add_header_logo(
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fig: "Figure",
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image: "np.ndarray",
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x: float = 0.88,
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y: float = 0.905,
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width: float = 0.08,
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height: float = 0.08,
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) -> None:
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"""Add a logo image as an inset axes in the upper-right area of a figure.
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Creates a new axes at the given figure coordinates and renders the image
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with axis lines and ticks hidden. Suitable for branding in report pages.
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Args:
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fig: The matplotlib Figure to add the logo to.
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image: Image array (H x W x C) as numpy ndarray, e.g. loaded with
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matplotlib.image.imread or PIL.
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x: Left edge of the logo axes in figure coordinates (0-1).
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y: Bottom edge of the logo axes in figure coordinates (0-1).
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width: Width of the logo axes in figure coordinates (0-1).
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height: Height of the logo axes in figure coordinates (0-1).
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"""
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ax_logo = fig.add_axes([x, y, width, height])
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ax_logo.imshow(image)
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ax_logo.axis("off")
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