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Using argparse in a Jupyter Notebook throws a TypeError. The same code works fine if I execute the same code as a script. MWE:
import argparse
parser = argparse.ArgumentParser(description='Foo')
parser.add_argument('--name', '-n', default='foo', help='foo')
args = parser.parse_args()
Result:
TypeError: 'level' is an invalid keyword argument for this function
540
Python argparseIt parses the defined arguments from the sys. argv . The argparse module also automatically generates help and usage messages, and issues errors when users give the program invalid arguments. The argparse is a standard module; we do not need to install it.
The argparse module makes it easy to write user-friendly command-line interfaces. The program defines what arguments it requires, and argparse will figure out how to parse those out of sys.argv . The argparse module also automatically generates help and usage messages.
The store_true option automatically creates a default value of False. Likewise, store_false will default to True when the command-line argument is not present. The source for this behavior is succinct and clear: http://hg.python.org/cpython/file/2.7/Lib/argparse.py#l861.
Metavar: It provides a different name for optional argument in help messages. Provide a value for the metavar keyword argument within add_argument() .
One solution is to parse an empty list of arguments:
import argparse
parser = argparse.ArgumentParser(description='Foo')
parser.add_argument('--name', '-n', default='foo', help='foo')
args = parser.parse_args([])
Another is to use parse_known_args:
args, _ = parser.parse_known_args()
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