Wow feeling like an expert huh!!.. Now let's grab some knowledge related to loading of data. Your job is to create a function that returns a numpy array when given a path to csv file.
- Use that
pathanddtypeto read the CSV file and return the numpy array (using a standard numpy library function) - Always skip the header row when reading the CSV
- Return the numpy array
By executing this task you can learn the basic operation of reading a csv file and manipulate it.
| Parameter | dtype | argument type | default value | description |
|---|---|---|---|---|
| path | string | compulsory | path to the file csv | |
| dtype | Float | optional | np.float64 | data type |
| Return | dtype | description |
|---|---|---|
| Numpy array | ndarray | Array containing data set values |