validate_args(fname, args, max_fname_arg_count, compat_args)
The name of the function being passed the :None:None:`*args` parameter
The :None:None:`*args` parameter passed into a function
The maximum number of arguments that the function :None:None:`fname` can accept, excluding those in :None:None:`args`. Used for displaying appropriate error messages. Must be non-negative.
A dictionary of keys and their associated default values. In order to accommodate buggy behaviour in some versions of numpy
, where a signature displayed keyword arguments but then passed those arguments positionally internally when calling downstream implementations, a dict ensures that the original order of the keyword arguments is enforced.
If :None:None:`args` contains more values than there are :None:None:`compat_args`
If :None:None:`args` contains values that do not correspond to those of the default values specified in :None:None:`compat_args`
Checks whether the length of the :None:None:`*args` argument passed into a function has at most :None:None:`len(compat_args)` arguments and whether or not all of these elements in :None:None:`args` are set to their default values.
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.util._validators.validate_args_and_kwargs
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