The expression to filter rows in a dataframe where column B values are greater than 45 is:

```python
df[df['B'] 45]
```

Here's how it works:

1. `df['B'] 45` creates a Boolean Series where each element is True if the corresponding value in column B is greater than 45, and False otherwise.

2. `df[df['B'] 45]` uses this Boolean Series to index into the dataframe, returning only the rows where the Series is True. This effectively filters the dataframe to only rows where column B is greater than 45.

Question

The expression to filter rows in a dataframe where column B values are greater than 45 is:

```python
df[df['B'] > 45]
```

Here's how it works:

1. `df['B'] > 45` creates a Boolean Series where each element is True if the corresponding value in column B is greater than 45, and False otherwise.

2. `df[df['B'] > 45]` uses this Boolean Series to index into the dataframe, returning only the rows where the Series is True. This effectively filters the dataframe to only rows where column B is greater than 45.

Knowee AI · Accepted Answer

The expression to filter rows in a dataframe where column B values are greater than 45 is:

```python
df[df['B'] > 45]
```

Here's how it works:

1. `df['B'] > 45` creates a Boolean Series where each element is True if the corresponding value in column B is greater than 45, and False otherwise.

2. `df[df['B'] > 45]` uses this Boolean Series to index into the dataframe, returning only the rows where the Series is True. This effectively filters the dataframe to only rows where column B is greater than 45.

Problem statementSend feedbackConsider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. Which of the following expression filters the rows whose column B values are greater than 45

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