Pandas

Question 1

What is Pandas?

Answer 1

It is module/ function of python that is used to store data in the form of dataframe fore easy operations

Question 2

Data Structure ?

Answer 2

It is an organized set of data placed in a sequential manner

Question 3

What are the different types of data structures in python ?

Answer 3

The types of data structures are:
1 Series - an 1 d array
2 data frame - a 2 d array

Question 4

What are the features of series?

Answer 4

1. 1 darray
2. contain homogenous data type
3. is mutable (size is not)

Question 5

How can you create a empty series?

Answer 5

import pandas as pd
df = pd.Series()
______________

output:
Series([], dtype: object)

Question 6

How to create a series using a list?

Answer 6

import pandas as pd
l=[1,2,3]
df = pd.Series(l)
______________
output:
0 1
1 2
3 3
dtype: int64

Question 7

How to create a series using a dictionary?

Answer 7

import pandas as pd
d={‘A’:1,’B’:2}
df = pd.Series()
______________

output:
A 1
B 2

Question 8

How to create an empty series with a tuple ?

Answer 8

import pandas as pd
t= 1,2,3
df = pd.Series()
______________
output:
0 1
1 2
3 3
dtype: int64

Question 9

How to create a series using a scalar value

Answer 9

import pandas as pd
df = pd.Series(25,index=[1,2,3])
or
df = pd.Series(25, [1,2,3])
or df=pd.Series(25)
______________
output:
1 25
2 25
3 25
or
1 25
2 25
3 25
or
0 25

Question 10

What is a scalar value ?

Answer 10

A scalar values can be defined as a constant value

Question 11

How to specify a certain range of values as the index?

Answer 11

import pandas as pd
df = pd.Series(290, index= range(2020,2091))
print(df)

Question 12

How to insert a Nan value in a series ?

Answer 12

import pandas as pd
import numpy as np
df= pd.Series([1,2,3,np.NaN,5,6])
print(df)

Question 13

How does the dtype change as soon as we add a Nan value to it?

Answer 13

A soon as the Nan value is added the dtype changes to float64

Question 14

What are attributes ?

Answer 14

Attributes are characteristic of the of the element

Question 15

What are the different types of attributes used in Series?

Answer 15

The different type of attributes used are:
1. Shape it talks about the shape the data structure
value given in the form of a tuple
(n,) one is not shown here

2.Empty it is used to check if the given structure is empty or not
output is given in the form of boolean

3. Values it is used just to print all the values in the structure only the values
   represented in the form of a list

4.Index it is used to print all the indexes used in the structure only indexes
in the form of a list

5. Size it is used to check the total number of entries in the the Series
   in the the form of an int value

6.ndim it is used to check the dimension of the data structure
in the form of int

Question 16

Some other attributes used in Series which may or may not work are

Answer 16

nbyte and itemsize it is used to find out the amount of space occupied by an given element.

Question 17

Operation on series are done using

Answer 17

It can either be done using the operator or using function such as sum() ,div() ,sub() ,mul()

Question 18

What does the letter ‘r’ represent in rsum() ,rdiv() ,rsub() ,rmul()

Answer 18

It reverses the order of operation or you can say that it solves from right hand side

Question 19

How can you slice through a list ?

Answer 19

Different way are used as per requirements,
1. if you want a single element
you use the normal method
print(df[index])

2. if you want multiple elements
   print(df[1:4:2])