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प्रश्न
Which of the following statement will import pandas library?
पर्याय
Import pandas as pd
import Pandas as py
import pandas as pd
import panda as pd
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उत्तर
import pandas as pd
APPEARS IN
संबंधित प्रश्न
Select the correct statement:
Pandas Series is a ______.
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.
Write Python series to print scalar value “10” 5 times.
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))
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 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)