Eh) SrSSKrSSKrSSKJr SSKJr SSKJ r J r J r J r SSK Jr SSKJr SS KJr SS KJr S rS rS r\S\S\SS\R0S4 SjrSrSr\4Sjrg)zTools to plot basemapsN) providers) TileProvider) bounds2img_sm2ll warp_tiles_warper) Resamplingtransform_bounds) patheffects)drawbilinearautoTc UR5upp[U[5(a[R"U5nUb9[U[ [45(d[U[5(akUSSS:XabXX4unnnnUb[UUUUUS5unnnn[UUUUUUSU S9unnUb[UUXxS9unn[U5(a SU ;aS U S'GO|S SK nURU5nU(alS S KJn U(a.UR R#UUR$XX5unnnnO XX4unnnnS UU4UU4UU4UU4UU444S ./nU"UUSS9unnUUUU4nO{[&R("UR+5Vs/sHnUPM sn5nUR,nUR.nUR0UR2UR4UR64nUbZUR$U:waJ[9UUUR$Xx5unnnUR0UR2UR4UR64nUR;SSS 5nSSS5 WR<SS:Xa USS2SS2S 4nUR>"U4WUURA5S.U D6nU(aURXX45 OK[CU US 5[EU US5[CU US5[EUUS54nURU5 Uc[RFRHn[U[ [45(aUcURKS5nU(a [MXUS9 g![ a GN/f=fs snf!,(df  GN-=f)a Add a (web/local) basemap to `ax`. Parameters ---------- ax : AxesSubplot Matplotlib axes object on which to add the basemap. The extent of the axes is assumed to be in Spherical Mercator (EPSG:3857), unless the `crs` keyword is specified. zoom : int or 'auto' [Optional. Default='auto'] Level of detail for the basemap. If 'auto', it is calculated automatically. Ignored if `source` is a local file. source : xyzservices.TileProvider object or str [Optional. Default: OpenStreetMap Humanitarian web tiles] The tile source: web tile provider, a valid input for a query of a :class:`xyzservices.TileProvider` by a name from ``xyzservices.providers`` or path to local file. The web tile provider can be in the form of a :class:`xyzservices.TileProvider` object or a URL. The placeholders for the XYZ in the URL need to be `{x}`, `{y}`, `{z}`, respectively. For local file paths, the file is read with `rasterio` and all bands are loaded into the basemap. IMPORTANT: tiles are assumed to be in the Spherical Mercator projection (EPSG:3857), unless the `crs` keyword is specified. interpolation : str [Optional. Default='bilinear'] Interpolation algorithm to be passed to `imshow`. See `matplotlib.pyplot.imshow` for further details. attribution : str [Optional. Defaults to attribution specified by the source] Text to be added at the bottom of the axis. This defaults to the attribution of the provider specified in `source` if available. Specify False to not automatically add an attribution, or a string to pass a custom attribution. attribution_size : int [Optional. Defaults to `ATTRIBUTION_SIZE`]. Font size to render attribution text with. reset_extent : bool [Optional. Default=True] If True, the extent of the basemap added is reset to the original extent (xlim, ylim) of `ax` crs : None or str or CRS [Optional. Default=None] coordinate reference system (CRS), expressed in any format permitted by rasterio, to use for the resulting basemap. If None (default), no warping is performed and the original Spherical Mercator (EPSG:3857) is used. resampling : [Optional. Default=Resampling.bilinear] Resampling method for executing warping, expressed as a `rasterio.enums.Resampling` method zoom_adjust : int or None [Optional. Default: None] The amount to adjust a chosen zoom level if it is chosen automatically. Values outside of -1 to 1 are not recommended as they can lead to slow execution. **extra_imshow_args : Other parameters to be passed to `imshow`. Examples -------- >>> import geopandas >>> import contextily as cx >>> db = geopandas.read_file(ps.examples.get_path('virginia.shp')) Ensure the data is in Spherical Mercator: >>> db = db.to_crs(epsg=3857) Add a web basemap: >>> ax = db.plot(alpha=0.5, color='k', figsize=(6, 6)) >>> cx.add_basemap(ax, source=url) >>> plt.show() Or download a basemap to a local file and then plot it: >>> source = 'virginia.tiff' >>> _ = cx.bounds2raster(*db.total_bounds, zoom=6, source=source) >>> ax = db.plot(alpha=0.5, color='k', figsize=(6, 6)) >>> cx.add_basemap(ax, source=source) >>> plt.show() Nhttpz epsg:3857F)zoomsourcell zoom_adjust)t_crs resamplingzorder r)maskPolygon)type coordinatesT)cropr)extent interpolationaspect attribution) font_size)'axis isinstancestrr query_name ValueErrordictr _reproj_bbrr _is_overlayrasterioopen rasterio.maskrwarpr crsnparrayread transformboundsleftrightbottomtopr transposeshapeimshow get_aspectminmax OpenStreetMapHOTgetadd_attribution)axrrr$r'attribution_size reset_extentr5rrextra_imshow_argsxminxmaxyminymaxr;r<r=r>imager#riorasterriomaskwindow img_transformbandbbr:_ max_boundss fC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\contextily/plotting.py add_basemapr\s| WWYD&# ))&1F  ft\2 3 3 vs # #r f(<$(t#9 eVS ?'1eVS#{( $D%#    #  v ?&ufCWME6 v  83D#D*+ h ' XXf 9/2xx/H/HVZZT0,D&%044/E,D&%!*"&v!&!& !%s !%v (  (/vvD'I$}ufc16;;=!A=4$=!AB & 0 0 ]]"((BIIrvv=fjjC&7#*=&**c$ vq fllFMM6::MOOAq!,EOT {{1~aAg   #}}     A T() fQi fQi fQi fQi   ~((,,&4.//K4Gjj/ 3CD ]   H"B; s1M"3BM8 M3 B=M8" M0/M03M88 Nc*[XEXX5upgpXhXy4$Nr ) r;r<r=r>s_crsrn_ln_bn_rn_ts r[r/r/s )%eQCc S c [U[5(dgURSS5S:ag/SQnSSKn[ UR SS R U5-S -URS S 555$) a Check if the identified source is an overlay (partially transparent) layer. Parameters ---------- source : dict The tile source: web tile provider. Must be preprocessed as into a dictionary, not just a string. Returns ------- bool Notes ----- This function is based on a very similar javascript version found in leaflet: https://github.com/leaflet-extras/leaflet-providers/blob/9eb968f8442ea492626c9c8f0dac8ede484e6905/preview/preview.js#L56-L70 Fopacityg?T) z^(OpenWeatherMap|OpenSeaMap)zHOpenMapSurfer.(Hybrid|AdminBounds|ContourLines|Hillshade|ElementsAtRisk)z!Stamen.Toner(Hybrid|Lines|Labels)z/CartoDB.(Positron|DarkMatter|Voyager)OnlyLabelszHydda.RoadsAndLabelsz ^JusticeMap OpenPtMapOpenRailwayMap OpenFireMapSafeCastrN(|)name)r*r.rGreboolmatchjoin)roverlayPatternsrps r[r0r0sk& fd # # zz)S!C' O sxx883> 6SU@VW XXrdc ^[5 UR"SSU4URU[R"SSS9/SS.UD6nUR 5R S-mU4SjUlU$) a Utility to add attribution text. Parameters ---------- ax : AxesSubplot Matplotlib axes object on which to add the attribution text. text : str Text to be added at the bottom of the axis. font_size : int [Optional. Defaults to 8] Font size in which to render the attribution text. **kwargs : Additional keywords to pass to the matplotlib `text` method. Returns ------- matplotlib.text.Text Matplotlib Text object added to the plot. g{Gzt?r"w) linewidth foregroundT)r9size path_effectswrapgGz?c>T$r^) wrap_widthsr[!add_attribution..9szrd)rtext transAxesr withStrokeget_window_extentwidth_get_wrap_line_width)rIrr(kwargs text_artistr~s @r[rHrHs{. F''    ,, !,,qSIJ    K%%'--4J'9K$ rd)__doc__warningsnumpyr6ror xyzservicesrtilerrrr rasterio.enumsr rasterio.warpr matplotlibr matplotlib.pyplotr INTERPOLATIONZOOMATTRIBUTION_SIZErr\r/r0rHr}rdr[rsv$99%*""    % ""Q h %YP)9'rd