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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
Assertion (A): To create a series from array, we have to import the NumPy module and then use array () method.
Reason (R): NumPy is an open-source numerical Python library. NumPy contains a multi-dimensional array and matrix data structures.
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 ______.
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 show rows where values of series M1 greater than 75.
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:
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?
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?
What will be the output of the following code:
>>>import pandas as pd
>>>A = pd.Series(data = [35, 45, 55, 40])
>>>print(A > 45)