PYTHON Pandas Basic Functions

PYTHON Pandas Basic Functions

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.


Basic Functions of Series

  • 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.

Let’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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