Theoretical Questions

1. How can you filter rows in a DataFrame `df` where column 'A' values are greater than 10?

2. What does the `df.describe()` method return?

3. If `series` is a Pandas Series, what will `series.value_counts()` do?

4. Which of the following methods is used to concatenate two DataFrames, `df1` and `df2`?

5. Which method is used to check the number of `None` observations across columns?

6. What does the following code return: `df.dtypes`?

7. Which method is used to drop duplicates from a DataFrame?

8. How can you transpose a DataFrame?

9. Which Pandas method is used to combine two DataFrames side by side?

10. What does `df.head(3)` return?

How can you filter rows in a DataFrame df where column 'A' values are greater than 10?

Select the correct answer

df.get(df['A'] > 10)

df[df['A'] > 10]

df.where('A' > 10)

df.find(df['A'] > 10)

What does the df.describe() method return?

Select the correct answer

Summary statistics of the DataFrame

The top 5 rows of the DataFrame

The data types of columns in the DataFrame

A plot describing the DataFrame

If series is a Pandas Series, what will series.value_counts() do?

Select the correct answer

Return the frequency of each unique value in the series

Sort the series based on values

Count the total number of values in the series

Return unique values in the series

Which of the following methods is used to concatenate two DataFrames, df1 and df2?

Select the correct answer

pd.append(df1, df2)

df1.concat(df2)

pd.concat([df1, df2])

df1.combine(df2)

Which method is used to check the number of None observations across columns?

Select the correct answer

df.check()

df.isnull().sum()

df.na_count()

df.observe()

What does the following code return: df.dtypes?

Select the correct answer

The first five rows of the DataFrame

The last five rows of the DataFrame

A boolean mask of the DataFrame based on null values

The data types of each column

Which method is used to drop duplicates from a DataFrame?

Select the correct answer

df.dropna()

df.delete_duplicates()

df.remove_duplicates()

df.drop_duplicates()

How can you transpose a DataFrame?

Select the correct answer

df.T

df.transpose = True

df.rotate()

df.flip()

Which Pandas method is used to combine two DataFrames side by side?

Select the correct answer

df.join()

df.bind()

df.concat()

df.union()

What does df.head(3) return?

Select the correct answer

The first three rows of df

The last three rows of df

A random sample of three rows from df

The three most frequent values from df

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 6

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Theoretical Questions

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1. How can you filter rows in a DataFrame `df` where column 'A' values are greater than 10?

2. What does the `df.describe()` method return?

3. If `series` is a Pandas Series, what will `series.value_counts()` do?

4. Which of the following methods is used to concatenate two DataFrames, `df1` and `df2`?

5. Which method is used to check the number of `None` observations across columns?

6. What does the following code return: `df.dtypes`?

7. Which method is used to drop duplicates from a DataFrame?

8. How can you transpose a DataFrame?

9. Which Pandas method is used to combine two DataFrames side by side?

10. What does `df.head(3)` return?

How can you filter rows in a DataFrame df where column 'A' values are greater than 10?

Select the correct answer

df.get(df['A'] > 10)

df[df['A'] > 10]

df.where('A' > 10)

df.find(df['A'] > 10)

What does the df.describe() method return?

Select the correct answer

Summary statistics of the DataFrame

The top 5 rows of the DataFrame

The data types of columns in the DataFrame

A plot describing the DataFrame

If series is a Pandas Series, what will series.value_counts() do?

Select the correct answer

Return the frequency of each unique value in the series

Sort the series based on values

Count the total number of values in the series

Return unique values in the series

Which of the following methods is used to concatenate two DataFrames, df1 and df2?

Select the correct answer

pd.append(df1, df2)

df1.concat(df2)

pd.concat([df1, df2])

df1.combine(df2)

Which method is used to check the number of None observations across columns?

Select the correct answer

df.check()

df.isnull().sum()

df.na_count()

df.observe()

What does the following code return: df.dtypes?

Select the correct answer

The first five rows of the DataFrame

The last five rows of the DataFrame

A boolean mask of the DataFrame based on null values

The data types of each column

Which method is used to drop duplicates from a DataFrame?

Select the correct answer

df.dropna()

df.delete_duplicates()

df.remove_duplicates()

df.drop_duplicates()

How can you transpose a DataFrame?

Select the correct answer

df.T

df.transpose = True

df.rotate()

df.flip()

Which Pandas method is used to combine two DataFrames side by side?

Select the correct answer

df.join()

df.bind()

df.concat()

df.union()

What does df.head(3) return?

Select the correct answer

The first three rows of df

The last three rows of df

A random sample of three rows from df

The three most frequent values from df

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 6

Theoretical Questions

1. How can you filter rows in a DataFrame df where column 'A' values are greater than 10?

2. What does the df.describe() method return?

3. If series is a Pandas Series, what will series.value_counts() do?

4. Which of the following methods is used to concatenate two DataFrames, df1 and df2?

5. Which method is used to check the number of None observations across columns?

6. What does the following code return: df.dtypes?

7. Which method is used to drop duplicates from a DataFrame?

8. How can you transpose a DataFrame?

9. Which Pandas method is used to combine two DataFrames side by side?

10. What does df.head(3) return?

Awesome!

Theoretical Questions

1. How can you filter rows in a DataFrame df where column 'A' values are greater than 10?

2. What does the df.describe() method return?

3. If series is a Pandas Series, what will series.value_counts() do?

4. Which of the following methods is used to concatenate two DataFrames, df1 and df2?

5. Which method is used to check the number of None observations across columns?

6. What does the following code return: df.dtypes?

7. Which method is used to drop duplicates from a DataFrame?

8. How can you transpose a DataFrame?

9. Which Pandas method is used to combine two DataFrames side by side?

10. What does df.head(3) return?

1. How can you filter rows in a DataFrame `df` where column 'A' values are greater than 10?

2. What does the `df.describe()` method return?

3. If `series` is a Pandas Series, what will `series.value_counts()` do?

4. Which of the following methods is used to concatenate two DataFrames, `df1` and `df2`?

5. Which method is used to check the number of `None` observations across columns?

6. What does the following code return: `df.dtypes`?

10. What does `df.head(3)` return?

1. How can you filter rows in a DataFrame `df` where column 'A' values are greater than 10?

2. What does the `df.describe()` method return?

3. If `series` is a Pandas Series, what will `series.value_counts()` do?

4. Which of the following methods is used to concatenate two DataFrames, `df1` and `df2`?

5. Which method is used to check the number of `None` observations across columns?

6. What does the following code return: `df.dtypes`?

10. What does `df.head(3)` return?