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I created a DataFrame, I want to save this as a CSV file. How do I do this?

What does df['col_name'] return?

Pandas Quiz!

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Answers

1
What does df['col_name'] return?
A Series
A DataFrame
A list
A dictionary
2
I created a DataFrame, I want to save this as a CSV file. How do I do this?
df.write_csv('name.csv')
df.save('name.csv')
df.to_csv('name.csv')
df.read_csv('name.csv')
3
Which function removes rows with empty values?
dropna()
clean_empty()
remove_null()
drop_empty()
4
What is Pandas used for in Python?
Game Development
Machine Learning
Web Development
Data Analysis & Manipulation
5
True or False: Pandas is a sub-library of NumPy
True
False
6
What data structure does Pandas use for handling data?
Lists
Series
DataFrames
Dictionaries
7
What does the df.head(num) method do in pandas?
Shows the last "num" amount of rows
Shows the first "num" amount of columns in the first row by default
Shows the first "num" amount of rows
Adds "num" amount of rows to the beginning of the DataFrame
8
Imagine we have a DF with a column of numbers. To drop all the rows where the number is greater than 5..
df = df[df["numbers"] <= 5]
df.drop(df["numbers"] > 5)
df = df[df["numbers"] >= 5]
df = df["numbers"] < 5
9
How we do import data from a CSV file in Pandas?
pd.to_csv('csv_file')
pd.save_data('csv_file')
pd.read_csv('csv_file')
pd.save_csv('csv_file')
10
I want to drop the the column 'age' in my dataframe (df). How do I do this?
df = df[df['age']]
df.drop(columns='age')
df.drop('age', axis=1)
df.drop('age', axis=0)