Read_csv Output format conversion

Python Help
1

Hello

This is CSV File Format (D:\csv_sample.csv)

Date,Tmperature
1981-01-01,20.7
1981-01-02,17.9
1981-01-03,18.8
1981-01-04,14.6
1981-01-05,15.8
1981-01-06,15.8
1981-01-07,15.8
1981-01-08,17.4
1981-01-09,21.8
1981-01-10,20
1981-01-11,16.2
1981-01-12,13.3
1981-01-13,16.7
1981-01-14,21.5
1981-01-15,25
1981-01-16,20.7
1981-01-17,20.6
1981-01-18,24.8
1981-01-19,17.7
1981-01-20,15.5

It is printed as below.

import pandas as pd
import numpy as np

data = pd.read_csv("D:\csv_sample.csv")
print(data)

==> Date Tmperature
0   1981-01-01    20.7
1   1981-01-02    17.9
2   1981-01-03    18.8
3   1981-01-04    14.6
4   1981-01-05    15.8
5   1981-01-06    15.8
6   1981-01-07    15.8
7   1981-01-08    17.4
8   1981-01-09    21.8
9   1981-01-10    20.0
10  1981-01-11    16.2
11  1981-01-12    13.3
12  1981-01-13    16.7
13  1981-01-14    21.5
14  1981-01-15    25.0
15  1981-01-16    20.7
16  1981-01-17    20.6
17  1981-01-18    24.8
18  1981-01-19    17.7
19  1981-01-20    15.5

I want to take only the temperature column value and convert it as shown below.
I want it printed in this form.

import pandas as pd
import numpy as np

data = pd.read_csv("D:\csv_sample.csv")

#@@#%$#$%%@#$%@ ?????? Convert Function Python

print(data)

==> [20.7 17.9 18.8 14.6 15.8 15.8 15.8 17.4 21.8 20 16.2 13.3 16.7 21.5 25 20.7 20.6 24.8 17.7 15.5]

[20.7 17.9 18.8 14.6 15.8 15.8 15.8 17.4 21.8 20 16.2 13.3 16.7 21.5 25 20.7 20.6 24.8 17.7 15.5]

Is there a Python function that leaves the csv file as is and converts it to the format above?

2

Did you try data['Tmperature']?

Notice it is not spelled properly in the data you show. The code must match what your file actually has.

4

csvfile.csv
==>Date,Tmperature
1981-01-01,20.7
1981-01-02,17.9
1981-01-03,18.8
1981-01-04,14.6
1981-01-05,15.8
1981-01-06,15.8
1981-01-07,15.8
1981-01-08,17.4
1981-01-09,21.8
1981-01-10,20
1981-01-11,16.2
1981-01-12,13.3
1981-01-13,16.7
1981-01-14,21.5
1981-01-15,25
1981-01-16,20.7
1981-01-17,20.6
1981-01-18,24.8
1981-01-19,17.7
1981-01-20,15.5

import pandas as pd
import numpy as np
data = pd.read_csv(“D:\csvfile.csv”)
print(data)
==>
Date Tmperature
0 1981-01-01 20.7
1 1981-01-02 17.9
2 1981-01-03 18.8
3 1981-01-04 14.6
4 1981-01-05 15.8
5 1981-01-06 15.8
6 1981-01-07 15.8
7 1981-01-08 17.4
8 1981-01-09 21.8
9 1981-01-10 20.0
10 1981-01-11 16.2
11 1981-01-12 13.3
12 1981-01-13 16.7
13 1981-01-14 21.5
14 1981-01-15 25.0
15 1981-01-16 20.7
16 1981-01-17 20.6
17 1981-01-18 24.8
18 1981-01-19 17.7
19 1981-01-20 15.5

print(data[“Tmperature”])
==>
0 20.7
1 17.9
2 18.8
3 14.6
4 15.8
5 15.8
6 15.8
7 17.4
8 21.8
9 20.0
10 16.2
11 13.3
12 16.7
13 21.5
14 25.0
15 20.7
16 20.6
17 24.8
18 17.7
19 15.5
Name: Tmperature, dtype: float64

====> BUT ------------
=> I want to take only the temperature column value and convert it as shown below.
I want it printed in this form.
[20.7 17.9 18.8 14.6 15.8 15.8 15.8 17.4 21.8 20 16.2 13.3 16.7 21.5 25 20.7 20.6 24.8 17.7 15.5]
Is there a Python function that leaves the csv file as is and converts it to the format above?

5

Question remains why, but simple .to_list() would do:

print(data['Tmperature'].to_list())