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Quiz Time
How do you handle missing values in a Pandas
Series in Python?
•By using arithmetic operators or functions.
•By using functions like fillna(), dropna(), etc.
•by using modules
•none of the above
Quiz Time
What is a Pandas Series in Python?
• A one-dimensional labeled array capable of holding any data type.
•By passing a list, dictionary, or scalar value to the Series() method of the Pandas library.
•By using arithmetic operators or functions.
•none of the above
Quiz Time
What is the result of the following code?
import pandas as pd
data = {'Name': ['John', 'Jane', 'Jim', 'Joan'],
'Age': [25, 30, 35, 40],
'Occupation': ['Engineer', 'Doctor', 'Teacher', 'Lawyer’]}
df = pd.DataFrame(data)
print(df.loc[0])
•Name: John, Age: 25, Occupation: Engineer
• Name: John, Age: 25
• John 25 Engineer
•none of the above
Quiz Time
•What is the difference between iloc() and
loc()?
Quiz Time
•How can we check the Data Types of
Columns?

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robotics & da presentation to be delivered for basic beginners

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  • 21. Quiz Time How do you handle missing values in a Pandas Series in Python? •By using arithmetic operators or functions. •By using functions like fillna(), dropna(), etc. •by using modules •none of the above
  • 22. Quiz Time What is a Pandas Series in Python? • A one-dimensional labeled array capable of holding any data type. •By passing a list, dictionary, or scalar value to the Series() method of the Pandas library. •By using arithmetic operators or functions. •none of the above
  • 23. Quiz Time What is the result of the following code? import pandas as pd data = {'Name': ['John', 'Jane', 'Jim', 'Joan'], 'Age': [25, 30, 35, 40], 'Occupation': ['Engineer', 'Doctor', 'Teacher', 'Lawyer’]} df = pd.DataFrame(data) print(df.loc[0]) •Name: John, Age: 25, Occupation: Engineer • Name: John, Age: 25 • John 25 Engineer •none of the above
  • 24. Quiz Time •What is the difference between iloc() and loc()?
  • 25. Quiz Time •How can we check the Data Types of Columns?