[python] Give column name when read csv file pandas

This is the example of my dataset.

>>> user1 = pd.read_csv('dataset/1.csv')
>>> print(user1)
          0  0.69464   3.1735   7.5048
0  0.030639  0.14982  3.48680   9.2755
1  0.069763 -0.29965  1.94770   9.1120
2  0.099823 -1.68890  1.41650  10.1200
3  0.129820 -2.17930  0.95342  10.9240
4  0.159790 -2.30180  0.23155  10.6510
5  0.189820 -1.41650  1.18500  11.0730

How to push down the first column and add the names column [TIME, X, Y, and Z] on the first column.

The desired output is like this:

       TIME        X        Y        Z
0         0  0.69464   3.1735   7.5048
1  0.030639  0.14982  3.48680   9.2755
2  0.069763 -0.29965  1.94770   9.1120
3  0.099823 -1.68890  1.41650  10.1200
4  0.129820 -2.17930  0.95342  10.9240
5  0.159790 -2.30180  0.23155  10.6510
6  0.189820 -1.41650  1.18500  11.0730

This question is related to python pandas

The answer is


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.


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)

we can do it with a single line of code.

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