Python Pandas for data analysis
Question 1
What is Pandas primarily used for?
Creating games
Data manipulation and analysis
Building websites
Image editing
Question 2
Which of the following libraries is Pandas built on top of?
Matplotlib
Seaborn
NumPy
TensorFlow
Question 3
What is the command to install Pandas?
pip get pandas
pandas install
import pandas
pip install pandas
Question 4
What can be used to create a DataFrame in Pandas?
Only CSV files
Only SQL database
Lists, dictionaries or data from files
Only Excel files
Question 5
what is a Pandas series
A table with rows and columns
A one-dimensional labeled array
A list of strings
A chart for plotting
Question 6
Which NumPy function is often used to create data for a Pandas Series?
np.series()
np.make_array()
np.array()
np.series_array()
Question 7
How can you select a specific column from a DataFrame?
df.select_column("ColumnName")
df.get_column("ColumnName")
df["ColumnName"]
df.column("ColumnName")
Question 8
How can you filter rows in a DataFrame based on a condition?
df.filter(condition)
df.select_rows(condition)
df[condition]
df.filter_rows(condition)
Question 9
What is the purpose of the describe() method in Pandas?
To describe the data types of columns
To display summary statistics of a DataFrame
To provide information about missing values
To describe the structure of a DataFrame
Question 10
How can you drop a column from a DataFrame in Pandas?
df.remove_column("ColumnName")
df.drop_column("ColumnName")
df.remove("ColumnName", axis=1)
df.drop("ColumnName", axis=1)
There are 14 questions to complete.