Numpy and pandas

Numpy and pandas

Professional Development

9 Qs

quiz-placeholder

Similar activities

Case study of Earthquakes

Case study of Earthquakes

Professional Development

10 Qs

ACCOUNT AND RESERVATION SECURITY

ACCOUNT AND RESERVATION SECURITY

Professional Development

10 Qs

PySpark Quiz Round

PySpark Quiz Round

Professional Development

11 Qs

DataStructure

DataStructure

Professional Development

9 Qs

Python BAsics

Python BAsics

Professional Development

8 Qs

Basic Pandas

Basic Pandas

Professional Development

10 Qs

Data Analysis Class Quiz 1

Data Analysis Class Quiz 1

Professional Development

10 Qs

U.S.S. Jimmy Carter Officer quiz

U.S.S. Jimmy Carter Officer quiz

Professional Development

10 Qs

Numpy and pandas

Numpy and pandas

Assessment

Quiz

Other

Professional Development

Hard

Created by

Yassmine Riahi

Used 3+ times

FREE Resource

9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Quel est le resultat affiché du code suivant :
Print ( result )

Alice

25

Bob

error

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Quel est le resultat affiché ?

[ 3 7 ]

[ 4 6 ]

10

error

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Quel est le resultat de ce code ?

print ( result )

[ 8 6]

[7 9 ]

[10]

[ 11 8]

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Numpy library provides two data Structures : Series and DAtaFrame

True

False

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

To delete a column from a dataFrame df we use ?

df.delete (column)

df.remove(column)

df.drop(column )

df.dropna()

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

to add a new row in a daraframe we use the method :

append

add

insert

concat

7.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Pandas Series :

have immutable values but mutable size

have mutable values but immutable size

are two dimensional

are one dimensional

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

To show the first five rows in a dataframe we use :

df.first(5)

df.tail(5)

df.head()

df.start(5)

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

pour afficher la 2 eme ligne d'un Numpy Array ( 2D) nommé a :

a[ : , 1]

a[1 , :]

a[0]

a[: , 0]