hddlZddlZddlZddlmZddlmZddlZddl m Z ddZ dZ dZ dd Z dd Z dd Z dd Z dd Ze eGddeZy)N)CategoricalDtype) PlotAccessor)docc|j}gg}}|jjj|j sX|j j s>|j j s |tjt|fSt|D]\}}|[|jj|r@|j s4|jD]$}|j||j|&c| |j rr|j||j||tj|fS)aPReturn Series like geoms and index, except that any Multi geometries are split into their components and indices are repeated for all component in the same Multi geometry. At the same time, empty or missing geometries are filtered out. Maintains 1:1 matching of geometry to value. Prefix specifies type of geometry to be flatten. 'Multi' for MultiPoint and similar, "Geom" for GeometryCollection. Returns ------- components : list of geometry component_index : index array indices are repeated for all components in the same Multi geometry ) normalize geom_typestr startswithanyis_emptyisnanparangelen enumerategeomsappendarray)rprefix componentscomponent_indexixgeompolys E/var/www/html/immo/lib/python3.12/site-packages/geopandas/plotting.py_sanitize_geomsr s$ OO E"$bJ OO   * *6 2 6 6 8""$   "biiE +++e$ 'D   9 9& A$--  +!!$'&&r* +\T]]    d #  " "2 & ' rxx0 00cfddlm}ddlm}ddg}|j D]\}}d|vr ||r8d|vr.t |t r#t|dk(rt |d |rE||vrJtjjj|sttj||d ||<y ) a@ Most arguments to the plot functions must be a (single) value, or a sequence of values. This function checks each key-value pair in 'kwargs' and expands it (in place) to the correct length/formats with help of 'multiindex', unless the value appears to already be a valid (single) value for the key. r)Iterable) is_color_likemarker path_effectscolor linestyleraxisN)collections.abcr matplotlib.colorsr!items isinstancetuplerpdapitypes is_list_likertake)kwargs multiindexr r! scalar_kwargsattvalues r_expand_kwargsr87s)/~.Mlln= U c>U# C 5%(J!OuQx2 M !  66<< $ $U +''%!6'.E: !4 !,,. C . . U F w6:&EJKz**+ArrE2KHK3F3J RZZ/0D!     d +j'2 /Ls D-/Dc  | | tdt|\}} |D cgc]} | js | jnd} } |D cgc]} | js | jnd} } ||| d<||| d<||| d<||| d<t | | d| vr|j | | f|||d| }|S|j | | fd |i| }|Scc} wcc} w) aPlot a collection of Point and MultiPoint geometries to `ax`. Parameters ---------- ax : matplotlib.axes.Axes where shapes will be plotted geoms : sequence of `N` Points or MultiPoints values : a sequence of `N` values, optional Values mapped to colors using vmin, vmax, and cmap. Cannot be specified together with `color`. markersize : scalar or array-like, optional Size of the markers. Note that under the hood ``scatter`` is used, so the specified value will be proportional to the area of the marker (size in points^2). Returns ------- collection : matplotlib.collections.Collection that was plotted Nz3Can only specify one of 'values' and 'color' kwargscsr$r"rL)rXrYrWrW) ValueErrorrr xyr8scatter)rUrrVr$rWrXrYr"rKr3r4prerfrZs r_plot_point_collectionris@e/NOO'.E:388QAJJD (8A8278QAJJD (8A8s  s  w !x6:& VRZZ1P4dPP   RZZ1:4:6: + 98s !C  !Cc  ddlm}||j|\} }|dk(r|jr{|jj re|j } tj| d| dg} |jdtj| tjzdz z n%|jd n||j||jrtjd td |S|j j#rtjd td |St$j&j(j+|xrt-|t-|k(} d} |tj.t-|} t1|d r| |j2z} |j5d| j7|d<|j5d| j9|d<t;|j<d\}}|rtj>| |dnd} | r5tA|t$jBr|jE|jF}| rtj>||dn|}tIjJ|}|jL}tjN|dk(|dk(z}tjN|dk(|dk(z|dk(z}tjN|dk(|dk(z}||}|js:|jQdd}| r||n|}||}|r| |nd}tS|||f|||d|||}|js$|r| |nd}| r||n|}tU|||f|||d|||}|js#|r| |nd}| r||n|}tW|||f||d||jXjZj]|S#t$r tdwxYw)a Plot a GeoSeries. Generate a plot of a GeoSeries geometry with matplotlib. Parameters ---------- s : Series The GeoSeries to be plotted. Currently Polygon, MultiPolygon, LineString, MultiLineString, Point and MultiPoint geometries can be plotted. cmap : str (default None) The name of a colormap recognized by matplotlib. Any colormap will work, but categorical colormaps are generally recommended. Examples of useful discrete colormaps include: tab10, tab20, Accent, Dark2, Paired, Pastel1, Set1, Set2 color : str, np.array, pd.Series, List (default None) If specified, all objects will be colored uniformly. ax : matplotlib.pyplot.Artist (default None) axes on which to draw the plot figsize : pair of floats (default None) Size of the resulting matplotlib.figure.Figure. If the argument ax is given explicitly, figsize is ignored. aspect : 'auto', 'equal', None or float (default 'auto') Set aspect of axis. If 'auto', the default aspect for map plots is 'equal'; if however data are not projected (coordinates are long/lat), the aspect is by default set to 1/cos(s_y * pi/180) with s_y the y coordinate of the middle of the GeoSeries (the mean of the y range of bounding box) so that a long/lat square appears square in the middle of the plot. This implies an Equirectangular projection. If None, the aspect of `ax` won't be changed. It can also be set manually (float) as the ratio of y-unit to x-unit. autolim : bool (default True) Update axes data limits to contain the new geometries. **style_kwds : dict Color options to be passed on to the actual plot function, such as ``edgecolor``, ``facecolor``, ``linewidth``, ``markersize``, ``alpha``. Returns ------- ax : matplotlib axes instance rNThe matplotlib package is required for plotting in geopandas. You can install it using 'conda install -c conda-forge matplotlib' or 'pip install matplotlib'.figsizeautorequalzNThe GeoSeries you are attempting to plot is empty. Nothing has been displayed. stacklevelzeThe GeoSeries you are attempting to plot is composed of empty geometries. Nothing has been displayed.NrXrYGeomrr'Polygon MultiPolygon LineStringMultiLineString LinearRingPoint MultiPoint facecolor)r~rWrN)r$rWrN)r$rW)/matplotlib.pyplotpyplot ImportErrorsubplotscrs is_geographic total_boundsrmean set_aspectcospiemptywarningswarn UserWarningr allr.r/r0r1rrhasattrrtgetminmaxrgeometryr2r,Seriesreindexindex geopandas GeoSeriesr r@popr[r`rifigurecanvas draw_idle)rcrWr$rUrmaspectrN style_kwdspltfigboundsy_coord color_givenrVrr4 expl_color expl_series geom_typespoly_idxline_idx point_idxpolysr~color_values_linespointss r plot_seriesr8sn ' z,,w,/R  55QUU((^^Fggvay&)45G MM!bffWruu_s%:;; < MM' "   fww  1    zz~~  H    &&,,++E2Ks5zSV7KKF 3q6" 4 dff_F'^^FFJJLA 6'^^FFJJLA 6( 6BE:48RWWVZa 0dFz%3 agg&7B 3J%%e,K&&Jzz:2z^7STUHzz | # * * ,  % 'H  J'1jL6PQRI  !E ;;NN;5 )4H%%  I&*&"          !E ;;&*&")4H%%# w &,4 LV  #F <<'+&#*5I&5  '-D r| t dd}nt0j@jBjE|j<sht0j@jBjG|j<s5t0j@jBjI|j<s|rd}tjJt1jL|d}|~d} ddl'}|i}d|vr| |d<|jPtjJ|||fi|}d}|kd|vrgtS|d|jTk7r1t djWtS|d|jTtY|j[d}nUd}|d|vr|j[d}|j]|}||j[dd} nd} | s|D!cgc]}!|!d d }}!t1j^tj`gtS|z|jbd}t0j^je|jf|jbd||<|d}|r|d}t1j^|| }"tY|"jh}tYtjj|||"jMz}#|#rt d!|#d"|"jl|}| dn| } | tS|d z n| } |r7tjn|dD]}$tjp||$|d}| '|tjr|jun| }%| '|tjr|jwn| }&ty|j,d#$\}'}(tjz||(d%}tjz||(d%}t}j~|'})|)j}*tjJ|*d&k(|*d'k(z}+tjJ|*d(k(|*d)k(z|*d*k(z},tjJ|*d+k(|*d,k(z}-|)|+tj|z}.||+tj|z}/|.j"st||.|/f|%|&||d-||)|,tj|z}0||,tj|z}/|0j"st||0|/f|%|&||d-||)|-tj|z}1||-tj|z}/|1j"s`t%| tj.r3tjz| |(d%} | |-tj|z} t||1|/f|%|&| |d.||)|j" }2|C|2rA|r d/|vr||d/<|j!}3|3j|t+|)|fd0|i|3d1di|r/|s,|i}d|vr|j[ddd2lFmG}4dd3lHmI}5dd4lJmK}6|jd5d}7|7s |5|%|&6}7|4j|7|7}8|ra|}g}9ttS|D]B}:|9j|6dgdgd8d9|jd:d d;|8j|:d<D||2rd/3vr|3d/|3d=<|9j|6dgdgd8d9|3jd:d d;|3jd=d|3jd>d|3jd?|3jd>drd nd@ |j|3jdAdB|jdCd |jdDdE|jdF|9|jd||jdHi|nl||jdG|n|jd0||8jtjg|jj|8fi||jjj|S#t $r t dwxYw#t $r t |wxYwcc}!w)IaI Plot a GeoDataFrame. Generate a plot of a GeoDataFrame with matplotlib. If a column is specified, the plot coloring will be based on values in that column. Parameters ---------- column : str, np.array, pd.Series, pd.Index (default None) The name of the dataframe column, np.array, pd.Series, or pd.Index to be plotted. If np.array, pd.Series, or pd.Index are used then it must have same length as dataframe. Values are used to color the plot. Ignored if `color` is also set. kind: str The kind of plots to produce. The default is to create a map ("geo"). Other supported kinds of plots from pandas: - 'line' : line plot - 'bar' : vertical bar plot - 'barh' : horizontal bar plot - 'hist' : histogram - 'box' : BoxPlot - 'kde' : Kernel Density Estimation plot - 'density' : same as 'kde' - 'area' : area plot - 'pie' : pie plot - 'scatter' : scatter plot - 'hexbin' : hexbin plot. cmap : str (default None) The name of a colormap recognized by matplotlib. color : str, np.array, pd.Series (default None) If specified, all objects will be colored uniformly. ax : matplotlib.pyplot.Artist (default None) axes on which to draw the plot cax : matplotlib.pyplot Artist (default None) axes on which to draw the legend in case of color map. categorical : bool (default False) If False, cmap will reflect numerical values of the column being plotted. For non-numerical columns, this will be set to True. legend : bool (default False) Plot a legend. Ignored if no `column` is given, or if `color` is given. scheme : str (default None) Name of a choropleth classification scheme (requires mapclassify). A mapclassify.MapClassifier object will be used under the hood. Supported are all schemes provided by mapclassify (e.g. 'BoxPlot', 'EqualInterval', 'FisherJenks', 'FisherJenksSampled', 'HeadTailBreaks', 'JenksCaspall', 'JenksCaspallForced', 'JenksCaspallSampled', 'MaxP', 'MaximumBreaks', 'NaturalBreaks', 'Quantiles', 'Percentiles', 'StdMean', 'UserDefined'). Arguments can be passed in classification_kwds. k : int (default 5) Number of classes (ignored if scheme is None) vmin : None or float (default None) Minimum value of cmap. If None, the minimum data value in the column to be plotted is used. vmax : None or float (default None) Maximum value of cmap. If None, the maximum data value in the column to be plotted is used. markersize : str or float or sequence (default None) Only applies to point geometries within a frame. If a str, will use the values in the column of the frame specified by markersize to set the size of markers. Otherwise can be a value to apply to all points, or a sequence of the same length as the number of points. figsize : tuple of integers (default None) Size of the resulting matplotlib.figure.Figure. If the argument axes is given explicitly, figsize is ignored. legend_kwds : dict (default None) Keyword arguments to pass to :func:`matplotlib.pyplot.legend` or :func:`matplotlib.pyplot.colorbar`. Additional accepted keywords when `scheme` is specified: fmt : string A formatting specification for the bin edges of the classes in the legend. For example, to have no decimals: ``{"fmt": "{:.0f}"}``. labels : list-like A list of legend labels to override the auto-generated labels. Needs to have the same number of elements as the number of classes (`k`). interval : boolean (default False) An option to control brackets from mapclassify legend. If True, open/closed interval brackets are shown in the legend. categories : list-like Ordered list-like object of categories to be used for categorical plot. classification_kwds : dict (default None) Keyword arguments to pass to mapclassify missing_kwds : dict (default None) Keyword arguments specifying color options (as style_kwds) to be passed on to geometries with missing values in addition to or overwriting other style kwds. If None, geometries with missing values are not plotted. aspect : 'auto', 'equal', None or float (default 'auto') Set aspect of axis. If 'auto', the default aspect for map plots is 'equal'; if however data are not projected (coordinates are long/lat), the aspect is by default set to 1/cos(df_y * pi/180) with df_y the y coordinate of the middle of the GeoDataFrame (the mean of the y range of bounding box) so that a long/lat square appears square in the middle of the plot. This implies an Equirectangular projection. If None, the aspect of `ax` won't be changed. It can also be set manually (float) as the ratio of y-unit to x-unit. autolim : bool (default True) Update axes data limits to contain the new geometries. **style_kwds : dict Style options to be passed on to the actual plot function, such as ``edgecolor``, ``facecolor``, ``linewidth``, ``markersize``, ``alpha``. Returns ------- ax : matplotlib axes instance Examples -------- >>> import geodatasets >>> df = geopandas.read_file(geodatasets.get_path("nybb")) >>> df.head() # doctest: +SKIP BoroCode ... geometry 0 5 ... MULTIPOLYGON (((970217.022 145643.332, 970227.... 1 4 ... MULTIPOLYGON (((1029606.077 156073.814, 102957... 2 3 ... MULTIPOLYGON (((1021176.479 151374.797, 102100... 3 1 ... MULTIPOLYGON (((981219.056 188655.316, 980940.... 4 2 ... MULTIPOLYGON (((1012821.806 229228.265, 101278... >>> df.plot("BoroName", cmap="Set1") # doctest: +SKIP See the User Guide page :doc:`../../user_guide/mapping` for details. Nz7Only specify one of 'column' or 'color'. Using 'color'.rorrrrkz%'ax' can not be None if 'cax' is not.rlrnrrprqzQThe GeoDataFrame you are attempting to plot is empty. Nothing has been displayed.)rWr$rUrmrKrrNz=The dataframe and given column have different number of rows.z=Cannot specify 'categories' when column has categorical dtypeTbool)dtypezBThe 'mapclassify' package is required to use the 'scheme' keyword.klabelszJNumber of labels must match number of bins, received {} labels for {} binsz{:.2f}fmtintervalF) categoriesorderedviridistab10)rzEColumn contains values not listed in categories. 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