Give column name when read csv file pandas

Question

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         


        

Answer 1

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.

Answer 2

I'd do it like this:

colnames=['TIME', 'X', 'Y', 'Z'] 
user1 = pd.read_csv('dataset/1.csv', names=colnames, header=None)

Answer 3

If we are directly use data from csv it will give combine data based on comma separation value as it is .csv file.

user1 = pd.read_csv('dataset/1.csv')

If you want to add column names using pandas, you have to do something like this. But below code will not show separate header for your columns.

col_names=['TIME', 'X', 'Y', 'Z'] 
user1 = pd.read_csv('dataset/1.csv', names=col_names)

To solve above problem we have to add extra filled which is supported by pandas, It is header=None

user1 = pd.read_csv('dataset/1.csv', names=col_names, header=None)

Answer 4

we can do it with a single line of code.

 user1 = pd.read_csv('dataset/1.csv', names=['TIME', 'X', 'Y', 'Z'], header=None)