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प्रश्न
Write a program to create a series of objects using a dictionary that stores the number of students in each house of class 12D of your school.
Note: Assume four house names are Beas, Chenab, Ravi, and Satluj having 18, 2, 20, and 18 students respectively and pandas library has been imported as pd.
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उत्तर
St = {‘Beas’ :18, ‘Chenab’ :20 , ‘ Ravi’ :20, ‘ Satluj’ :18}
S1 = pd.Series(St)
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संबंधित प्रश्न
Select the correct statement:
Give the output of:
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print(s.loc[1])
By default, Series.tail() function display last ______ rows.
Given a Pandas series called “S”, the command which will delete the 1st row(index value 0) ______.
Command to create empty Series is ______.
A Series represents ______ column(s) in memory.
Pandas Series is capable of holding ______ data type.
Select code to display the sum of Series M1 and Series M2:
(i) print (sum(M1,M2))
(ii) print(M1+M2)
(iii) print(M1.add(M2))
(iv) print(M1.sum(M2))
Set the series name “Marks1” of M1 series:
The keys of the dictionary are used to represent the ______ of the Series.
Give the output.
import pandas as pd
s=pd.Series([1,2,3,4,5])
s.drop(2)
print(s.size)Series to print scalar value “100” 5 times:
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Which code is correct to show rows those empno are greater than 103?
empno=[101,102,103,104,105,106,107]
p=pd.Series(empno)
Which statement is not correct to print the top 5 rows from series s?
Consider the following series named Result.
| Rohan | 90 |
| Aman | 60 |
| Divya | 34 |
| Jeet | 78 |
| Raj | 25 |
| Jyoti | 85 |
| Gagan | 32 |
Write the output of the command:
print(Result[: :-1])
Write the output of the given command:
import pandas as pd
s=pd.Series([10,20,30,40,50],[1,2,3,4,5])
print(s.loc[2])Write the output of the given command:
import pandas as pd
s=pd.Series([10,20,30,40,50],[1,2,3,4,5])
print(s[2]+s.iloc[2])Write the output of the given command:
import pandas as pd
s=pd.Series([10,20,30,40,50],[1,2,3,4,5])
print(s.loc[2]*2)To display the last five rows of a series object ‘S’, you may write ______
What will be the output of the following code:
>>>import pandas as pd
>>>A = pd.Series(data = [35, 45, 55, 40])
>>>print(A > 45)