This is the example of my dataset.
>>> user1 = pd.read_csv(\'dataset/1.csv\')
>>> print(user1)
0 0.69464 3.1735 7.5048
0 0.0306
user1 = pd.read_csv('dataset/1.csv', names=['Time', 'X', 'Y', 'Z'])
names parameter in read_csv function is used to define column names. If you pass extra name in this list, it will add another new column with that name with NaN values.
header=None is used to trim column names is already exists in CSV file.