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प्रश्न
To display the last five rows of a series object ‘S’, you may write ______
विकल्प
S.Head()
S.Tail(5)
S.Head(5)
S.tail()
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उत्तर
To display the last five rows of a series object ‘S’, you may write S.tail().
APPEARS IN
संबंधित प्रश्न
Select the correct statement:
Pandas Series is a ______.
Give the output of:
s=pd.Series([10,20,30,40,50],index =[‘a’,‘b’,‘c’,0,1])
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 ______.
Pandas Series is capable of holding ______ data type.
Size and values of data of Series are ______.
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))
Select code to show rows where values of series M1 greater than 75.
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)Assuming the given series, named stud, which command will be used to print 5 as output?
| 1 | 5 |
| 2 | 10 |
| 3 | 15 |
| 4 | 20 |
| 5 | 25 |
Which attribute is used to return the data type of the underlying data for the given Series object?
Which statement is not correct to print the top 5 rows from series s?
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)Which of the following statement will import pandas library?
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.
