U }h!@sdZddlZddlmZddlmZmZmZddlm Z ddl Z ddl Z ddl mZddlmZd d lmZd d lmZmZmZed d ddZeddddZdZeeZde jfddZddZddZ ee!edgdgdddddddd Z"dS)!a ============================= Species distribution dataset ============================= This dataset represents the geographic distribution of species. The dataset is provided by Phillips et. al. (2006). The two species are: - `"Bradypus variegatus" `_ , the Brown-throated Sloth. - `"Microryzomys minutus" `_ , also known as the Forest Small Rice Rat, a rodent that lives in Peru, Colombia, Ecuador, Peru, and Venezuela. References ---------- `"Maximum entropy modeling of species geographic distributions" `_ S. J. Phillips, R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006. Notes ----- For an example of using this dataset, see :ref:`examples/applications/plot_species_distribution_modeling.py `. N)BytesIO)PathLikemakedirsremove)exists)Bunch)validate_params) get_data_home)RemoteFileMetadata _fetch_remote _pkl_filepathz samples.zipz.https://ndownloader.figshare.com/files/5976075Z@abb07ad284ac50d9e6d20f1c4211e0fd3c098f7f85955e89d321ee8efe37ac28)filenameurlZchecksumz coverages.zipz.https://ndownloader.figshare.com/files/5976078Z@4d862674d72e79d6cee77e63b98651ec7926043ba7d39dcb31329cf3f6073807zspecies_coverage.pkzcsbfddt|D}ddtfdd|D}tj|d}t|d}|dkr^d||<|S) zjLoad a coverage file from an open file object. This will return a numpy array of the given dtype csg|] }qS)readline).0_)FrK/tmp/pip-unpacked-wheel-ig1s1lm8/sklearn/datasets/_species_distributions.py Psz"_load_coverage..cSs|dt|dfS)Nrr )splitfloat)trrrQz _load_coverage..csg|] }|qSrr)rline) make_tuplerrrRsdtypes NODATA_valuei)rangedictnploadtxtint)r header_lengthr!headerMZnodatar)rrr_load_coverageKs r*cCs6|dd}tj|dddd}||j_|S)zLoad csv file. Parameters ---------- F : file object CSV file open in byte mode. Returns ------- rec : np.ndarray record array representing the data ascii,rz a22,f4,f4)Zskiprows delimiterr!)rdecodestriprr$r%r!names)rr0Zrecrrr _load_csv[s r1cCs`|j|j}||j|j}|j|j}||j|j}t|||j}t|||j}||fS)a%Construct the map grid from the batch object Parameters ---------- batch : Batch object The object returned by :func:`fetch_species_distributions` Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding to the values in batch.coverages )x_left_lower_corner grid_sizeNxy_left_lower_cornerNyr$Zarange)batchZxminZxmaxZyminZymaxZxgridZygridrrrconstruct_gridsos  r8boolean) data_homedownload_if_missingT)Zprefer_skip_nested_validationc Cst|}t|st|tdddddd}tj}t|t}t|st|sPtdt dt j |ft t |d }t|>}|jD]0}t||}d |krt|} d |krt|} qW5QRXt|t d tj |ft t|d } t| N}g} |jD].}t||}t d || t|qtj| |d} W5QRXt| tf| | | d|} tj| |ddn t|} | S)af Loader for species distribution dataset from Phillips et. al. (2006). Read more in the :ref:`User Guide `. Parameters ---------- data_home : str or path-like, default=None Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in '~/scikit_learn_data' subfolders. download_if_missing : bool, default=True If False, raise an OSError if the data is not locally available instead of trying to download the data from the source site. Returns ------- data : :class:`~sklearn.utils.Bunch` Dictionary-like object, with the following attributes. coverages : array, shape = [14, 1592, 1212] These represent the 14 features measured at each point of the map grid. The latitude/longitude values for the grid are discussed below. Missing data is represented by the value -9999. train : record array, shape = (1624,) The training points for the data. Each point has three fields: - train['species'] is the species name - train['dd long'] is the longitude, in degrees - train['dd lat'] is the latitude, in degrees test : record array, shape = (620,) The test points for the data. Same format as the training data. Nx, Ny : integers The number of longitudes (x) and latitudes (y) in the grid x_left_lower_corner, y_left_lower_corner : floats The (x,y) position of the lower-left corner, in degrees grid_size : float The spacing between points of the grid, in degrees Notes ----- This dataset represents the geographic distribution of species. The dataset is provided by Phillips et. al. (2006). The two species are: - `"Bradypus variegatus" `_ , the Brown-throated Sloth. - `"Microryzomys minutus" `_ , also known as the Forest Small Rice Rat, a rodent that lives in Peru, Colombia, Ecuador, Peru, and Venezuela. - For an example of using this dataset with scikit-learn, see :ref:`examples/applications/plot_species_distribution_modeling.py `. References ---------- * `"Maximum entropy modeling of species geographic distributions" `_ S. J. Phillips, R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006. g33333WigfffffLi8g?)r2r4r5r6r3z1Data not found and `download_if_missing` is Falsez&Downloading species data from %s to %s)dirnametraintestz'Downloading coverage data from %s to %sz - converting {}r ) coveragesr>r= )compress)r rrr#r$int16rDATA_ARCHIVE_NAMEOSErrorloggerinfoSAMPLESrr loadfilesrr1r COVERAGESdebugformatappendr*Zasarrayrjoblibdump)r:r;Z extra_paramsr! archive_pathZ samples_pathXfZfhandler=r>Zcoverages_pathr?Zbunchrrrfetch_species_distributionssRI            rS)#__doc__loggingiorosrrros.pathrrNZnumpyr$utilsrZutils._param_validationr r _baser r rrGrJrC getLogger__name__rErBr*r1r8strrSrrrrs<'