What are other DataFrame attributes?

In pandas, a DataFrame has several attributes that provide information about the DataFrame or allow you to manipulate it. Here are some commonly used attributes:

.shape: Returns a tuple representing the dimensions of the DataFrame (number of rows, number of columns).
```
df.shape
```
.columns: Returns the column labels of the DataFrame.
```
df.columns
```
.index: Returns the index (row labels) of the DataFrame.
```
df.index
```
.dtypes: Returns the data types of each column in the DataFrame.
```
df.dtypes
```
.info(): Provides a summary of the DataFrame, including the index dtype, column dtypes, non-null values, and memory usage.
```
df.info()
```
.head(n): Returns the first n rows of the DataFrame (default is 5).
```
df.head()
```
.tail(n): Returns the last n rows of the DataFrame (default is 5).
```
df.tail()
```
.T: Transposes the DataFrame (swaps rows and columns).
```
df.T
```

These attributes can help you understand and manipulate your DataFrame effectively.