Attributes Of Pandas Series Class

Overview:

The pandas Series object is suitable for storing and processing large amount of 1-dimensional time-series data in-memory.
The elements of the Series instance can be of different types making the Series a heterogeneous container.
The Series class is equipped with lot of methods to perform - binary operations on Series instances, computations on Series instances, plotting of various graphs using the data from the Series. It also has several attributes that define the Series instance.
Those attributes can be classified into
- General, Dimension, Shape related
- Data related
- Memory-usage related

Example - General, dimension and shape related attributes of Pandas Series:

# Example Python program that prints the

# name, dimension, shape and index of the series

import pandas as pds

# Price quote of a stock

quote = [1576588672, 12, "SCRIPNAME", 45.6, 44.9, 47.9, 44.8, 45.8, 452189];

# Create a Pandas Series

series = pds.Series(quote, name="quote");

# Print attributes

print("Dimension of the Series:%s"%series.ndim);

print("Shape of the Series:%s"%series.shape);

print("Name of the Series:%s"%series.name);

print("Index of the Series:%s"%series.index);

Output:

Dimension of the Series:1

Shape of the Series:9

Name of the Series:quote

Index of the Series:RangeIndex(start=0, stop=9, step=1)

Example - Series attributes related to its data, transpose of the data, data type of elements and memory usage:

# Example Python program that prints the size and memory related

# attributes of a pandas Series

import pandas as pds

hourlyTemperature = [65, 66, 67, 68, 67, 66, 65, 62, 60, 59, 55, 57];

series = pds.Series(data=hourlyTemperature);

print("The Series:%s"%series.values);

print("The type of Series elements:%s"%series.dtype);

print("Number of elements present in the Series:%s"%series.size);

print("Number of bytes:%s"%series.nbytes);

print("Number of actual bytes in memory:%s"%series.memory_usage());

print("The transpose of the series:")

print(series.T);

Output:

The Series:[65 66 67 68 67 66 65 62 60 59 55 57]

The type of Series elements:int64

Number of elements present in the Series:12

Number of bytes:96

Number of actual bytes in memory:224

The transpose of the series:

0 65

1 66

2 67

3 68

4 67

5 66

6 65

7 62

8 60

9 59

10 55

11 57

dtype: int64