CBSE Class 12 Informatics Practices Question 18 of 21

Python Pandas — II — Question 7

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Question

Question 7

Four Series objects Temp1, Temp2, Temp3 and Temp4 store the temperatures of week1, week2, week3 and week4 respectively. Create a DataFrame from these four series objects where the indexes should be 'Sunday', 'Monday', ... , 'Saturday', and columns should be 'Week1', 'Week2', 'Week3' and 'week4'.

Solution
import pandas as pd
weekdays = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']
week1 = [25.4, 26.7, 27.2, 28.9, 29.8, 30.2, 31.5]  
week2 = [22.3, 23.2, 24.6, 25.4, 26.8, 27.9, 28.4]  
week3 = [20.1, 21.2, 22.4, 23.9, 24.7, 25.57, 26.78]  
week4 = [18.4, 19.1, 20.3, 21.7, 22.67, 23.4, 24.09]  
Temp1 = pd.Series(week1, index=weekdays)
Temp2 = pd.Series(week2, index=weekdays)
Temp3 = pd.Series(week3, index=weekdays)
Temp4 = pd.Series(week4, index=weekdays)
df = pd.DataFrame({'Week1': Temp1, 'Week2': Temp2, 'Week3': Temp3, 'Week4': Temp4})
print(df)
Output
           Week1  Week2  Week3  Week4
Sunday      25.4   22.3  20.10  18.40
Monday      26.7   23.2  21.20  19.10
Tuesday     27.2   24.6  22.40  20.30
Wednesday   28.9   25.4  23.90  21.70
Thursday    29.8   26.8  24.70  22.67
Friday      30.2   27.9  25.57  23.40
Saturday    31.5   28.4  26.78  24.09
Answer

import
pandas
as
pd
weekdays
=
[
'Sunday'
,
'Monday'
,
'Tuesday'
,
'Wednesday'
,
'Thursday'
,
'Friday'
,
'Saturday'
]
week1
=
[
25.4
,
26.7
,
27.2
,
28.9
,
29.8
,
30.2
,
31.5
]
week2
=
[
22.3
,
23.2
,
24.6
,
25.4
,
26.8
,
27.9
,
28.4
]
week3
=
[
20.1
,
21.2
,
22.4
,
23.9
,
24.7
,
25.57
,
26.78
]
week4
=
[
18.4
,
19.1
,
20.3
,
21.7
,
22.67
,
23.4
,
24.09
]
Temp1
=
pd
.
Series
(
week1
,
index
=
weekdays
)
Temp2
=
pd
.
Series
(
week2
,
index
=
weekdays
)
Temp3
=
pd
.
Series
(
week3
,
index
=
weekdays
)
Temp4
=
pd
.
Series
(
week4
,
index
=
weekdays
)
df
=
pd
.
DataFrame
({
'Week1'
:
Temp1
,
'Week2'
:
Temp2
,
'Week3'
:
Temp3
,
'Week4'
:
Temp4
})
print
(
df
)
Output
Week1 Week2 Week3 Week4
Sunday 25.4 22.3 20.10 18.40
Monday 26.7 23.2 21.20 19.10
Tuesday 27.2 24.6 22.40 20.30
Wednesday 28.9 25.4 23.90 21.70
Thursday 29.8 26.8 24.70 22.67
Friday 30.2 27.9 25.57 23.40
Saturday 31.5 28.4 26.78 24.09