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1. Pandas Series: Series Structure

Status

Done

1. Basic Series Properties

df['series'].index → Returns the index (row labels) of the Series.
df['series'].name → Returns the name of the Series (if assigned).
df['series'].dtype → Returns the data type of the Series elements.
df['series'].dtypes → Alias for dtype (same output).
df['series'].shape → Returns a tuple (n_rows,) representing dimensions.
df['series'].ndim → Returns the number of dimensions (1 for Series).
df['series'].size → Returns the number of elements in the Series.
df['series'].values → Returns the data as a NumPy array.
df['series'].array → Returns the underlying PandasArray (extension array).

2. Boolean Checks

df['series'].empty → Returns True if the Series is empty.
df['series'].hasnans → Returns True if the Series contains any NaN values.

3. Advanced Attributes (Less Common)

df['series'].flags → Returns a Flags object with memory/performance settings.
df['series'].set_flags → Modifies the flags (e.g., copy_on_write).
df['series'].attrs → Returns a dictionary of custom metadata attributes.

Key Notes:

Most frequently used: index, name, dtype, shape, size, values.
For missing values: hasnans is useful for quick NaN checks.
Advanced use cases: flags, set_flags, and attrs are rarely needed in everyday workflows.

Below is a detailed study note on Basic Series Properties using the Titanic dataset as a case study, structured for teaching students.

Dataset Setup: Titanic Case Study

We’ll use the Titanic dataset from Seaborn:


import pandas as pd
import seaborn as sns

# Load dataset
df = sns.load_dataset('titanic')
df.head()

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1. Basic Series Properties

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2. Boolean Checks

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3. Advanced Attributes

Property	Description	Common Use
`.index`	Row labels/index	✅
`.name`	Name of Series	✅
`.dtype` / `.dtypes`	Data type of values	✅
`.shape`	Tuple of (length,)	✅
`.ndim`	Number of dimensions	✅
`.size`	Total elements	✅
`.values`	NumPy array	✅
`.array`	PandasArray (extension)	❌
`.empty`	Is Series empty?	✅
`.hasnans`	Does it have NaNs?	✅
`.flags`	Memory flags	❌
`.set_flags`	Set memory flags	❌
`.attrs`	Custom metadata	⚠️