read_table ( local_file ) # replace all empty strings with actual NoData values In : df = np.

# read the CSV and strip whitespace In : df = pd. You can also call urlretrieve(url, filename) with a second argument: if present, specifies the file location to copy to (if absent, the location will be a tempfile with a generated name, as seen above). The function returns a tuple (filename, headers) where filename is the local file name under which the object can be found, because urlretrieve will save in some temporary folder.Īnd headers is a more technical information object containing status information for the http request and response. Urlretrieve(url, filename) copies a network object denoted by a URL to a local file (API documentation here)

# import common libraries In : import pandas as pd In : import geopandas as gpd In : from shapely.geometry import box, Polygon In : import numpy as np # import the very practical urlib library from Python for web transactions, such as file download In : import urllib.request # urlretrieve directly downloads the file into a local file handle In : local_file, headers = urllib.

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