ó ‡ˆ\c@sUdZddlmZddlmZmZddlmZddlZddl Z ddl Z ddl m Z ddl mZdd l mZd d lmZdd lmZdd lmZejddkZeddddddƒZeddddddƒZdZe jeƒZde jd„Zd„Z d„Z!de#d„Z$dS(s½ ============================= 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 `. iÿÿÿÿ(tBytesIO(tmakedirstremove(texistsNi(t get_data_home(t _fetch_remote(tRemoteFileMetadatai(tBunch(t _pkl_filepath(t_joblibiitfilenames samples.zipturls.https://ndownloader.figshare.com/files/5976075tchecksumt@abb07ad284ac50d9e6d20f1c4211e0fd3c098f7f85955e89d321ee8efe37ac28s coverages.zips.https://ndownloader.figshare.com/files/5976078t@4d862674d72e79d6cee77e63b98651ec7926043ba7d39dcb31329cf3f6073807sspecies_coverage.pkzic Cs•gt|ƒD]}|jƒ^q }d„}tg|D]}||ƒ^q8ƒ}tj|d|ƒ}t|dƒ}|dkr‘d||Vstdtypet NODATA_valueiñØÿÿ(trangetreadlinetdicttnptloadtxttint( tFt header_lengthRtitheadert make_tupletlinetMtnodata((sElib/python2.7/site-packages/sklearn/datasets/species_distributions.pyt_load_coveragePs% %  cCsytr-|jƒjdƒjƒjdƒ}n|jƒjƒjdƒ}tj|ddddddƒ}||j_|S(sÃLoad csv file. Parameters ---------- F : file object CSV file open in byte mode. Returns ------- rec : np.ndarray record array representing the data tasciit,tskiprowsit delimiterRs a22,f4,f4( t PY3_OR_LATERRtdecodetstripRRRRtnames(RR+trec((sElib/python2.7/site-packages/sklearn/datasets/species_distributions.pyt _load_csv`s '! cCs‚|j|j}||j|j}|j|j}||j|j}tj|||jƒ}tj|||jƒ}||fS(s%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 (tx_left_lower_cornert grid_sizetNxty_left_lower_cornertNyRtarange(tbatchtxmintxmaxtymintymaxtxgridtygrid((sElib/python2.7/site-packages/sklearn/datasets/species_distributions.pytconstruct_gridsysc Cs-t|ƒ}t|ƒs%t|ƒntddddddddd d ƒ}tj}t|tƒ}t|ƒs|s…td ƒ‚nt j d t j |fƒt t d |ƒ}tj|ƒa}xW|jD]L}t||ƒ}d|krþt|ƒ} nd|krÍt|ƒ} qÍqÍWWdQXt|ƒt j dtj |fƒt td |ƒ} tj| ƒo}g} xJ|jD]?}t||ƒ}t jdj|ƒƒ| jt|ƒƒq{Wtj| d|ƒ} WdQXt| ƒtd| d| d| |} tj| |ddƒntj|ƒ} | S(sü Loader for species distribution dataset from Phillips et. al. (2006) Read more in the :ref:`User Guide `. Parameters ---------- data_home : optional, 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 : optional, True by default If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site. Returns -------- The data is returned as a Bunch 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 References ---------- * `"Maximum entropy modeling of species geographic distributions" `_ S. J. Phillips, R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006. 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 `. R.g33333³WÀR0i¼R1gfffffLÀR2i8R/gš™™™™™©?s1Data not found and `download_if_missing` is Falses&Downloading species data from %s to %stdirnamettrainttestNs'Downloading coverage data from %s to %ss - converting {}Rt coveragestcompressi (RRRRRtint16RtDATA_ARCHIVE_NAMEtIOErrortloggertinfotSAMPLESR RtloadtfilesRR-Rt COVERAGEStdebugtformattappendR#tasarrayRR tdump(t data_hometdownload_if_missingt extra_paramsRt archive_patht samples_pathtXtftfhandleR=R>tcoverages_pathR?tbunch((sElib/python2.7/site-packages/sklearn/datasets/species_distributions.pytfetch_species_distributions”sTI               (%t__doc__tioRtosRRtos.pathRtsystloggingtnumpyRtbaseRRRtutilsRtsklearn.datasets.baseRt sklearn.utilsR t version_infoR(RFRIRBt getLoggert__name__RDRAR#R-R;tNonetTrueRY(((sElib/python2.7/site-packages/sklearn/datasets/species_distributions.pyt!s8