The correct way to add a new column to an existing DataFrame in pandas is by using the assignment operator. Here is an example:

```python
dataframe_object['new_column_label'] = value
```

In this line of code, 'dataframe_object' is your existing DataFrame, 'new_column_label' is the name of the new column you want to add, and 'value' is the value or set of values you want to populate the new column with.

The 'loc' function in pandas is used for label-based indexing or boolean indexing, not for adding new columns.

Question

The correct way to add a new column to an existing DataFrame in pandas is by using the assignment operator. Here is an example:

```python
dataframe_object['new_column_label'] = value
```

In this line of code, 'dataframe_object' is your existing DataFrame, 'new_column_label' is the name of the new column you want to add, and 'value' is the value or set of values you want to populate the new column with.

The 'loc' function in pandas is used for label-based indexing or boolean indexing, not for adding new columns.

Knowee AI · Accepted Answer

The correct way to add a new column to an existing DataFrame in pandas is by using the assignment operator. Here is an example:

```python
dataframe_object['new_column_label'] = value
```

In this line of code, 'dataframe_object' is your existing DataFrame, 'new_column_label' is the name of the new column you want to add, and 'value' is the value or set of values you want to populate the new column with.

The 'loc' function in pandas is used for label-based indexing or boolean indexing, not for adding new columns.

Which of the following can be used to add a new column in existing dataframe:locatiloc<dataframe_object>.<column_lable>

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