scipy.io.arff.loadarff¶ scipy.io.arff.loadarff(f) [source] ¶ Read an arff file. The data is returned as a record array, which can be accessed much like a dictionary of numpy arrays. For example, if one of the attributes is called ‘pressure’, then its first 10 data points can be accessed from the data record array like so: data['pressure ...
An ARFF file can be divided into two sections: header and data. The Header describes the metadata of the dataset, including a general description of the dataset, its name and its attributes. The source below is an example of a header section in a XOR dataset:
scipy.io.arff.loadarff¶ scipy.io.arff.loadarff(f) [source] ¶ Read an arff file. The data is returned as a record array, which can be accessed much like a dictionary of numpy arrays. For example, if one of the attributes is called ‘pressure’, then its first 10 data points can be accessed from the data record array like so: data['pressure ...
Hi,If you wanna create an ARFF file which is not huge, you can do that in a notepad or wordpad and save the filename in double quotes with extension arff ex. "test.arff".Following is the example ...