PYTHON Pandas Basic Functions. So far, we have learned the three pandas data structure and how to create them. Due to its importance in real-time data processing, we will focus on dataframe objects right now and mention a few other data structures.

So far, we have learned the three pandas data structure and how to create them. Due to its importance in real-time data processing, we will focus on dataframe objects right now and mention a few other data structures.

**axes:**Returns the list of row axis tags.- *
*dtype: **Returns the dtype object. **empty:**Returns false in serial empty job.- *
*ndim: **Returns the number of dimensions of the underlying data as definition 1. - *
*size: **Returns the number of basic data items. - *
*values: **Returns the series as ndarray. - *
*head: **Returns the first n lines. - *
*tail: **Returns the last n lines.

Letâ€™s consolidate the above structures with examples.

**Example 1**

```
import pandas as pd
import numpy as np
s = pd.Series(np.random.randn(4))
print(s)
```

0 1.373370 1 -0.960120 2 0.143523 3 0.553266 dtype: float64

```
**Example 2 (axes)**
Returns the list of row axis tags.
```

import pandas as pd import numpy as np

```
s = pd.Series(np.random.randn(4))
print(s.axes)
```

`````` [RangeIndex(start=0, stop=4, step=1)] ```

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