id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
12,338 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Rounds a number to a specified number of decimal places. Args: num (float): The number to round. decimal (int, optional): The number of decimal places to round. Defaults to 2. Returns: float: The number with the specified decimal places rounded. |
12,339 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Convert a list of jpg images to gif. Args: in_dir (str): The input directory containing jpg images. out_gif (str): The output file path to the gif. fps (int, optional): Frames per second. Defaults to 10. loop (bool, optional): controls how many times the animation repeats. 1 means that the animation will play once and ... |
12,340 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Get geometry type of an Earth Engine object. Args: ee_object (object): An Earth Engine object. Returns: str: Returns geometry type. One of Point, MultiPoint, LineString, LinearRing, MultiLineString, BBox, Rectangle, Polygon, MultiPolygon. |
12,341 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Add a new property to each feature containing a stylying dictionary. Args: ee_object (object): An ee.FeatureCollection. column (str): The column name to use for styling. palette (list | dict): The palette (e.g., list of colors or a dict containing label and color pairs) to use for styling. color (str, optional): A defa... |
12,342 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Converts a KML to shapefile. Args: in_kml (str): The file path to the input KML. out_shp (str): The file path to the output shapefile. Raises: FileNotFoundError: The input KML could not be found. TypeError: The output must be a shapefile. |
12,343 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def kml_to_ee(in_kml, **kwa... | Converts a KMZ to ee.FeatureCollection. Args: in_kmz (str): The file path to the input KMZ. Raises: FileNotFoundError: The input KMZ could not be found. Returns: object: ee.FeatureCollection |
12,344 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def github_raw_url(url):
... | Converts a CSV file to pandas dataframe. Args: in_csv (str): File path to the input CSV. Returns: pd.DataFrame: pandas DataFrame |
12,345 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Converts a shapefile to Geopandas dataframe. Args: in_shp (str): File path to the input shapefile. Raises: FileNotFoundError: The provided shp could not be found. Returns: gpd.GeoDataFrame: geopandas.GeoDataFrame |
12,346 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Deletes a shapefile. Args: in_shp (str): The input shapefile to delete. verbose (bool, optional): Whether to print out descriptive text. Defaults to False. |
12,347 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def df_to_geojson(
df,
... | Converts a pandas DataFrame to ee.FeatureCollection. Args: df (pandas.DataFrame): An input pandas.DataFrame. latitude (str, optional): Column name for the latitude column. Defaults to 'latitude'. longitude (str, optional): Column name for the longitude column. Defaults to 'longitude'. Raises: TypeError: The input data ... |
12,348 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Samples the pixels of an image, returning them as a ee.Dictionary. Args: ee_object (ee.Image | ee.ImageCollection): The ee.Image or ee.ImageCollection to sample. region (ee.Geometry): The region to sample from. If unspecified, uses the image's whole footprint. scale (float, optional): A nominal scale in meters of the p... |
12,349 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Lists all defined avariables. Args: var_type (object, optional): The object type of variables to list. Defaults to None. Returns: list: A list of all defined variables. |
12,350 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def ee_to_df(
ee_object... | Samples the pixels of an image, returning them as a FeatureCollection. Each feature will have 1 property per band in the input image. Note that the default behavior is to drop features that intersect masked pixels, which result in null-valued properties (see dropNulls argument). Args: image (ee.Image): The image to sam... |
12,351 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def gdf_to_ee(gdf, geodesic... | Retrieves place(s) by name or ID from the Nominatim API as an ee.FeatureCollection. Args: query (str | dict | list): Query string(s) or structured dict(s) to geocode. which_result (INT, optional): Which geocoding result to use. if None, auto-select the first (Multi)Polygon or raise an error if OSM doesn't return one. t... |
12,352 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def osm_to_gdf(
query,
... | Retrieves place(s) by name or ID from the Nominatim API as an ee.FeatureCollection. Args: query (str | dict | list): Query string(s) or structured dict(s) to geocode. which_result (INT, optional): Which geocoding result to use. if None, auto-select the first (Multi)Polygon or raise an error if OSM doesn't return one. t... |
12,353 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Retrieves an API key based on a system environmen variable. Args: token_name (str): The token name. m (ipyleaflet.Map | folium.Map, optional): A Map instance. Defaults to None. Returns: str: The API key. |
12,354 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def planet_monthly_tropical... | Generates Planet bi-annual and monthly imagery URLs based on an API key. See https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf Args: api_key (str, optional): The Planet API key. Defaults to None. token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY". Returns: list: ... |
12,355 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def planet_monthly_tiles_tr... | Generates Planet monthly imagery TileLayer based on an API key. See https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf Args: api_key (str, optional): The Planet API key. Defaults to None. token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY". tile_format (str, option... |
12,356 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def planet_monthly(api_key=... | Generates Planet bi-annual and monthly imagery URLs based on an API key. See https://assets.planet.com/docs/NICFI_UserGuidesFAQ.pdf Args: api_key (str, optional): The Planet API key. Defaults to None. token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY". Returns: list: ... |
12,357 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def planet_by_quarter(
... | Generates Planet quarterly imagery TileLayer based on an API key. To get a Planet API key, see https://developers.planet.com/quickstart/apis Args: year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016. quarter (int, optional): The quarter of Planet global mosaic, must be 1-4. Defaults... |
12,358 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def planet_by_month(
ye... | Generates Planet monthly imagery TileLayer based on an API key. To get a Planet API key, see https://developers.planet.com/quickstart/apis Args: year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016. month (int, optional): The month of Planet global mosaic, must be 1-12. Defaults to 1... |
12,359 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Get the current latitude and longitude based on the user's location. |
12,360 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Returns a dictionary of Census data. Args: reset (bool, optional): Reset the dictionary. Defaults to False. Returns: dict: A dictionary of Census data. |
12,361 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Returns a list of WMS layers from a WMS service. Args: url (str): The URL of the WMS service. return_titles (bool, optional): If True, the titles of the layers will be returned. Defaults to False. Returns: list: A list of WMS layers. |
12,362 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Reads a file from a URL. Args: url (str): The URL of the file. return_type (str, optional): The return type, can either be string or list. Defaults to "list". encoding (str, optional): The encoding of the file. Defaults to "utf-8". Raises: ValueError: The return type must be either list or string. Returns: str | list: ... |
12,363 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Streamlit function to create a download button. Args: label (str): A short label explaining to the user what this button is for.. data (str | list): The contents of the file to be downloaded. See example below for caching techniques to avoid recomputing this data unnecessarily. file_name (str, optional): An optional st... |
12,364 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Converts a GeoDataFame to GeoJSON. Args: gdf (GeoDataFrame): A GeoPandas GeoDataFrame. out_geojson (str, optional): File path to he output GeoJSON. Defaults to None. epsg (str, optional): An EPSG string, e.g., "4326". Defaults to None. Raises: TypeError: When the output file extension is incorrect. Exception: When the ... |
12,365 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def mosaic(images, output, ... | Creates contours from an image. Code adapted from https://mygeoblog.com/2017/01/28/contour-lines-in-gee. Credits to MyGeoBlog. Args: image (ee.Image): An image to create contours. min_value (float): The minimum value of contours. max_value (float): The maximum value of contours. interval (float): The interval between c... |
12,366 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
palettes = Box(_palette_di... | Get a list of palettable color palettes. Args: types (list, optional): A list of palettable types to return, e.g., types=['matplotlib', 'cartocolors']. Defaults to None. Returns: list: A list of palettable color palettes. |
12,367 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Connects to a PostGIS database. Args: database (str): Name of the database host (str, optional): Hosting server for the database. Defaults to "localhost". user (str, optional): User name to access the database. Defaults to None. password (str, optional): Password to access the database. Defaults to None. port (int, opt... |
12,368 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Reads data from a PostGIS database and returns a GeoDataFrame. Args: sql (str): SQL query to execute in selecting entries from database, or name of the table to read from the database. con (sqlalchemy.engine.Engine): Active connection to the database to query. geom_col (str, optional): Column name to convert to shapely... |
12,369 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Create a GeoPandas GeoDataFrame from a csv or Pandas DataFrame containing x, y, z values. Args: data (str | pd.DataFrame): A csv or Pandas DataFrame containing x, y, z values. x (str, optional): The column name for the x values. Defaults to "longitude". y (str, optional): The column name for the y values. Defaults to "... |
12,370 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Returns the centroids of an ee.FeatureCollection. Args: ee_object (ee.FeatureCollection): The ee.FeatureCollection to get the centroids of. Raises: TypeError: If the ee_object is not an ee.FeatureCollection. Returns: ee.FeatureCollection: The centroids of the ee_object. |
12,371 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def cog_info(url, titiler_e... | Validate Cloud Optimized Geotiff. Args: source (str): A dataset path or URL. Will be opened in "r" mode. verbose (bool, optional): Whether to print the output of the validation. Defaults to False. Raises: ImportError: If the rio-cogeo package is not installed. FileNotFoundError: If the provided file could not be found.... |
12,372 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def gdf_to_df(gdf, drop_geo... | Join a table to an ee.FeatureCollection attribute table. Args: ee_object (ee.FeatureCollection): The ee.FeatureCollection to be joined by a table. data (str | pd.DataFraem | gpd.GeoDataFrame): The table to join to the ee.FeatureCollection. src_key (str): The key of ee.FeatureCollection attribute table to join. dst_key ... |
12,373 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def gdf_bounds(gdf, return_... | Returns the centroid of a GeoDataFrame. Args: gdf (gpd.GeoDataFrame): A GeoDataFrame. return_geom (bool, optional): Whether to return the bounding box as a GeoDataFrame. Defaults to False. Returns: list | gpd.GeoDataFrame: A bounding box in the form of a list (lon, lat) or GeoDataFrame. |
12,374 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Returns the geometry type of a GeoDataFrame. Args: gdf (gpd.GeoDataFrame): A GeoDataFrame. first_only (bool, optional): Whether to return the geometry type of the first feature in the GeoDataFrame. Defaults to True. Returns: str: The geometry type of the GeoDataFrame. |
12,375 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Converts an image to a numpy array. Args: image (str): A dataset path, URL or rasterio.io.DatasetReader object. Raises: FileNotFoundError: If the provided file could not be found. Returns: np.array: A numpy array. |
12,376 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_dir(dir_path, mak... | Converts a numpy array to a COG file. Args: np_array (np.array): A numpy array representing the image. out_cog (str): The output COG file path. bounds (tuple, optional): The bounds of the image in the format of (minx, miny, maxx, maxy). Defaults to None. profile (str | dict, optional): File path to an existing COG file... |
12,377 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def in_colab_shell():
"... | View LiDAR data in 3D. Args: filename (str): The filepath to the LiDAR data. cmap (str, optional): The colormap to use. Defaults to "terrain". cmap currently does not work for the open3d backend. backend (str, optional): The plotting backend to use, can be pyvista, ipygany, panel, and open3d. Defaults to "pyvista". bac... |
12,378 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_file_path(file_pa... | Converts a Las from one point format to another Automatically upgrades the file version if source file version is not compatible with the new point_format_id Args: source (str | laspy.lasdatas.base.LasBase): The source data to be converted. destination (str, optional): The destination file path. Defaults to None. point... |
12,379 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Downloads the entire folder from URL. Args: url (str, optional): URL of the Google Drive folder. Must be of the format 'https://drive.google.com/drive/folders/{url}'. Defaults to None. id (str, optional): Google Drive's folder ID. Defaults to None. output (str, optional): String containing the path of the output folder... |
12,380 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def temp_file_path(extensio... | Clip an image by mask. Args: image (str): Path to the image file in GeoTIFF format. mask (str | list | dict): The mask used to extract the image. It can be a path to vector datasets (e.g., GeoJSON, Shapefile), a list of coordinates, or m.user_roi. output (str): Path to the output file. Raises: ImportError: If the fiona... |
12,381 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_file_path(file_pa... | Convert a netcdf file to a GeoTIFF file. Args: filename (str): Path to the netcdf file. output (str, optional): Path to the output GeoTIFF file. Defaults to None. If None, the output file will be the same as the input file with the extension changed to .tif. variables (str | list, optional): Name of the variable or a l... |
12,382 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def download_file(
url=... | Read a netcdf file. Args: filename (str): File path or HTTP URL to the netcdf file. Raises: ImportError: If the xarray or rioxarray package is not installed. FileNotFoundError: If the netcdf file is not found. Returns: xarray.Dataset: The netcdf file as an xarray dataset. |
12,383 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_package(name, URL... | Generate an ipyleaflet/folium TileLayer from a netCDF file. If you are using this function in JupyterHub on a remote server (e.g., Binder, Microsoft Planetary Computer), try adding to following two lines to the beginning of the notebook if the raster does not render properly. import os os.environ['LOCALTILESERVER_CLIEN... |
12,384 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def check_color(in_color):
... | Classify a dataframe column using a variety of classification schemes. Args: data (str | pd.DataFrame | gpd.GeoDataFrame): The data to classify. It can be a filepath to a vector dataset, a pandas dataframe, or a geopandas geodataframe. column (str): The column to classify. cmap (str, optional): The name of a colormap r... |
12,385 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Create an image with the number of available images for a specific region. Args: collection (ee.ImageCollection): The collection to be queried. region (ee.Geometry | ee.FeatureCollection, optional): The region to be queried. start_date (str | ee.Date, optional): The start date of the query. band (str, optional): The ba... |
12,386 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Create 10-m land cover composite based on Dynamic World. The source code is adapted from the following tutorial by Spatial Thoughts: https://developers.google.com/earth-engine/tutorials/community/introduction-to-dynamic-world-pt-1 Args: region (ee.Geometry | ee.FeatureCollection): The region of interest. start_date (st... |
12,387 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Create Sentinel-2 composite for the Dynamic World Land Cover product. Args: region (ee.Geometry | ee.FeatureCollection): The region of interest. Default to None. start_date (str | ee.Date): The start date of the query. Default to "2020-01-01". end_date (str | ee.Date): The end date of the query. Default to "2021-01-01"... |
12,388 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def download_ee_image(
... | Download an Earth Engine Image as small tiles based on ee.FeatureCollection. Images larger than the `Earth Engine size limit are split and downloaded as separate tiles, then re-assembled into a single GeoTIFF. See https://github.com/dugalh/geedim/blob/main/geedim/download.py#L574 Args: image (ee.Image): The image to be... |
12,389 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def ee_initialize(
toke... | Download an Earth Engine Image as small tiles based on ee.FeatureCollection. Images larger than the `Earth Engine size limit are split and downloaded as separate tiles, then re-assembled into a single GeoTIFF. See https://github.com/dugalh/geedim/blob/main/geedim/download.py#L574 Args: image (ee.Image): The image to be... |
12,390 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def download_ee_image(
... | Download an Earth Engine ImageCollection as GeoTIFFs. Images larger than the `Earth Engine size limit are split and downloaded as separate tiles, then re-assembled into a single GeoTIFF. See https://github.com/dugalh/geedim/blob/main/geedim/download.py#L574 Args: collection (ee.ImageCollection): The image collection to... |
12,391 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Get a palette from a matplotlib colormap. See the list of colormaps at https://matplotlib.org/stable/tutorials/colors/colormaps.html. Args: cmap_name (str, optional): The name of the matplotlib colormap. Defaults to None. n_class (int, optional): The number of colors. Defaults to None. hashtag (bool, optional): Whether... |
12,392 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def in_colab_shell():
"... | Plot a raster image. Args: image (str | xarray.DataArray ): The input raster image, can be a file path, HTTP URL, or xarray.DataArray. band (int, optional): The band index, starting from zero. Defaults to None. cmap (str, optional): The matplotlib colormap to use. Defaults to "terrain". proj (str, optional): The EPSG p... |
12,393 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def in_colab_shell():
"... | Plot a raster image in 3D. Args: image (str | xarray.DataArray): The input raster image, can be a file path, HTTP URL, or xarray.DataArray. band (int, optional): The band index, starting from zero. Defaults to None. cmap (str, optional): The matplotlib colormap to use. Defaults to "terrain". factor (float, optional): T... |
12,394 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Display an HTML file in a Jupyter Notebook. Args src (str): File path to HTML file. width (int, optional): Width of the map. Defaults to 950. height (int, optional): Height of the map. Defaults to 600. |
12,395 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Get the bounding box coordinates of a geometry. Args: geometry (ee.Geometry | ee.FeatureCollection): The input geometry. decimals (int, optional): The number of decimals to round to. Defaults to 4. Returns: list: The bounding box coordinates in the form [west, south, east, north]. |
12,396 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def ee_initialize(
toke... | Import Earth Engine JavaScript libraries. Based on the Open Earth Engine Library (OEEL). For more info, visit https://www.open-geocomputing.org/OpenEarthEngineLibrary. Args: lib_path (str, optional): A local file path or HTTP URL to a JavaScript library. It can also be in a format like 'users/gena/packages:grid'. Defau... |
12,397 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Install npm packages for Earth Engine JavaScript libraries. Based on the Open Earth Engine Library (OEEL). |
12,398 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Create a vector style for a feature collection. Args: collection (ee.FeatureCollection): The input feature collection. column (str): The name of the column to use for styling. labels (list, optional): A list of labels to use for styling. Defaults to None. color (str | list, optional): A default color (CSS 3.0 color val... |
12,399 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Add a CRS to a raster dataset. Args: filename (str): The filename of the raster dataset. epsg (int | str): The EPSG code of the CRS. |
12,400 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Create a JRC monthly history plot. Args: collection (ee.ImageCollection, optional): The image collection of JRC surface water monthly history. Default to ee.ImageCollection('JRC/GSW1_4/MonthlyHistory') region (ee.Geometry | ee.FeatureCollection, optional): The region to plot. Default to None. start_date (str, optional)... |
12,401 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Renders an HTML file as a Streamlit component. Args: filename (str): The filename of the HTML file. width (int, optional): Width of the map. Defaults to None. height (int, optional): Height of the map. Defaults to 600. scrolling (bool, optional): Whether to allow the map to scroll. Defaults to False. replace_dict (dict... |
12,402 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def mosaic(images, output, ... | Performs a convolution on an image. Args: image (ee.Image | ee.ImageCollection): The image to convolve. kernel (ee.Kernel, optional): The kernel to convolve with. Defaults to None, a 7x7 gaussian kernel. resample (str, optional): The resample method to use. It can be either 'bilinear' or 'bicubic'". Defaults to None, w... |
12,403 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def download_file(
url=... | Download the US National Elevation Datasets (NED) for a region. Args: region (str | list): A filepath to a vector dataset or a list of bounds in the form of [minx, miny, maxx, maxy]. out_dir (str, optional): The directory to download the files to. Defaults to None, which uses the current working directory. return_url (... |
12,404 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Print out the information for an Earth Engine object using a tree structure. The source code was adapted from https://github.com/google/earthengine-jupyter. Credits to Tyler Erickson. Args: ee_object (object): The Earth Engine object. layer_name (str, optional): The name of the layer. Defaults to "". opened (bool, opti... |
12,405 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def download_ee_image(
... | null |
12,406 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Test if the current notebook is running in mkdocs. Returns: bool: True if the notebook is running in mkdocs. |
12,407 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def rgb_to_hex(rgb=(255, 25... | Create a legend in HTML format. Reference: https://bit.ly/3oV6vnH Args: title (str, optional): Title of the legend. Defaults to 'Legend'. Defaults to "Legend". colors (list, optional): A list of legend colors. Defaults to None. labels (list, optional): A list of legend labels. Defaults to None. legend_dict (dict, optio... |
12,408 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def is_arcpy():
"""Chec... | Add a layer to the active map in ArcGIS Pro. Args: url (str): The URL of the tile layer to add. name (str, optional): The name of the layer. Defaults to None. shown (bool, optional): Whether the layer is shown. Defaults to True. opacity (float, optional): The opacity of the layer. Defaults to 1.0. |
12,409 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def is_arcpy():
"""Chec... | Zoom to an extent in ArcGIS Pro. Args: xmin (float): The minimum x value of the extent. ymin (float): The minimum y value of the extent. xmax (float): The maximum x value of the extent. ymax (float): The maximum y value of the extent. |
12,410 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Converts the map to an HTML string that can be used in Gradio. Removes unsupported elements, such as attribution and any code blocks containing functions. See https://github.com/gradio-app/gradio/issues/3190 Args: width (str, optional): The width of the map. Defaults to '100%'. height (str, optional): The height of the... |
12,411 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get a LocalTileserver TileClient from an image. Args: image (str): The input image filepath or URL. Returns: TileClient: A LocalTileserver TileClient. |
12,412 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the center of an image. Args: image (str): The input image filepath or URL. Returns: tuple: A tuple of (latitude, longitude). |
12,413 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the bounds of an image. Args: image (str): The input image filepath or URL. Returns: list: A list of bounds in the form of [(south, west), (north, east)]. |
12,414 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the metadata of an image. Args: image (str): The input image filepath or URL. Returns: dict: A dictionary of image metadata. |
12,415 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the number of bands in an image. Args: image (str): The input image filepath or URL. Returns: int: The number of bands in the image. |
12,416 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the size (width, height) of an image. Args: image (str): The input image filepath or URL. Returns: tuple: A tuple of (width, height). |
12,417 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the projection of an image. Args: image (str): The input image filepath or URL. Returns: str: The projection of the image. |
12,418 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Define the CRS of an image. Args: image (str): The input image filepath epsg (int): The EPSG code of the CRS to set. |
12,419 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the geotransform of an image. Args: image (str): The input image filepath or URL. Returns: list: A list of geotransform values. |
12,420 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def get_local_tile_layer(
... | Get the resolution of an image. Args: image (str): The input image filepath or URL. Returns: float: The resolution of the image. |
12,421 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Find files in a directory. Args: input_dir (str): The input directory. ext (str, optional): The file extension to match. Defaults to None. fullpath (bool, optional): Whether to return the full path. Defaults to True. recursive (bool, optional): Whether to search recursively. Defaults to True. Returns: list: A list of m... |
12,422 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Returns the approximate pixel scale based on zoom level and latutude. See https://blogs.bing.com/maps/2006/02/25/map-control-zoom-levels-gt-resolution Args: zoom (int): The zoom level. latitude (float, optional): The latitude. Defaults to 0. Returns: float: Map resolution in meters. |
12,423 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | coordinate conversion between web mercator to lat/lon in decimal degrees Args: x (float): The x coordinate. y (float): The y coordinate. Returns: tuple: A tuple of (longitude, latitude) in decimal degrees. |
12,424 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def lnglat_to_meters(longit... | Convert bounds to x and y range to be used as input to bokeh map. Args: bounds (list): A list of bounds in the form [(south, west), (north, east)] or [xmin, ymin, xmax, ymax]. Returns: tuple: A tuple of (x_range, y_range). |
12,425 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def lnglat_to_meters(longit... | Convert center and zoom to x and y range to be used as input to bokeh map. Args: center (tuple): A tuple of (latitude, longitude). zoom (int): The zoom level. Returns: tuple: A tuple of (x_range, y_range). |
12,426 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def lnglat_to_meters(longit... | Returns the coordinates ('x' or 'y') of edges of a Polygon exterior. :param: (GeoPandas Series) row : The row of each of the GeoPandas DataFrame. :param: (str) geom : The column name. :param: (str) coord_type : Whether it's 'x' or 'y' coordinate. :param: (str) shape_type |
12,427 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Apply scaling factors to a Landsat image. See an example at https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2 Args: image (ee.Image): The input Landsat image. thermal_bands (bool, optional): Whether to apply scaling to thermal bands. Defaults to True. apply_fmask (bool, optional): Wheth... |
12,428 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Converts a GeoTIFF to JPEG2000. Args: filename (str): The path to the GeoTIFF file. output (str): The path to the output JPEG2000 file. creationOptions (list): A list of creation options for the JPEG2000 file. See https://gdal.org/drivers/raster/jp2openjpeg.html. For example, to specify the compression ratio, use ``["Q... |
12,429 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def ee_to_bbox(ee_object):
... | Downloads an Earth Engine object as GeoTIFF. Args: ee_object (ee.Image | ee.FeatureCollection): The Earth Engine object to download. output (str): The output path for the GeoTIFF. bbox (str, optional): The bounding box in the format [xmin, ymin, xmax, ymax]. Defaults to None, which is the bounding box of the Earth Engi... |
12,430 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Create a grid covering an Earth Engine object. Args: ee_object (ee.Image | ee.Geometry | ee.FeatureCollection): The Earth Engine object. scale (float): The grid cell size. proj (str, optional): The projection. Defaults to None. Returns: ee.FeatureCollection: The grid as a feature collection. |
12,431 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Check Google basemaps Args: basemap (str): The basemap name. Returns: str: The basemap name. |
12,432 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Get Earth Engine token. Returns: dict: The Earth Engine token. |
12,433 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def random_string(string_le... | Create a widget template. Args: widget (ipywidgets.Widget, optional): The widget to be displayed. Defaults to None. opened (bool, optional): Whether to open the toolbar. Defaults to True. show_close_button (bool, optional): Whether to show the close button. Defaults to True. widget_icon (str, optional): The icon name f... |
12,434 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
The provided code snippet ... | Converts a GeoTIFF file to a JPEG/PNG image. Args: image (str): The path to the input GeoTIFF file. output (str): The path to save the output JPEG/PNG file. Returns: None |
12,435 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def install_package(package... | Convert xarray Dataset to georeferenced images. Args: xds (xr.Dataset): The xarray Dataset to convert to images. filenames (Union[str, List[str]], optional): Output filenames for the images. If a single string is provided, it will be used as the filename for all images. If a list of strings is provided, the filenames w... |
12,436 | import csv
import datetime
import io
import json
import math
import os
import requests
import shutil
import tarfile
import urllib.request
import warnings
import zipfile
import ee
import ipywidgets as widgets
from ipytree import Node, Tree
from typing import Union, List, Dict, Optional, Tuple
def array_to_memory_file(
... | Save a NumPy array as a GeoTIFF using the projection information from an existing GeoTIFF file. Args: array (np.ndarray): The NumPy array to be saved as a GeoTIFF. output (str): The path to the output image. If None, a temporary file will be created. Defaults to None. source (str, optional): The path to an existing Geo... |
12,437 | import os
import warnings
from typing import Optional, Any, Dict
import ee
import ipyleaflet
import ipywidgets as widgets
from box import Box
from bqplot import pyplot as plt
from IPython.display import display
from .basemaps import get_xyz_dict, xyz_to_leaflet
from .common import *
from .conversion import *
from .ee_t... | Converts and Earth Engine layer to ipyleaflet TileLayer. Args: ee_object (Collection|Feature|Image|MapId): The object to add to the map. vis_params (dict, optional): The visualization parameters. Defaults to {}. name (str, optional): The name of the layer. Defaults to 'Layer untitled'. shown (bool, optional): A flag in... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.