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Get Unique row values from DataFrame Column

Get Unique row values:

import pandas as pd

df = pd.DataFrame({'State': ['NY', 'TX', 'FL', 'AL', 'AK', 'TX', 'TX']
                   },
                  index=['Jane', 'Nick', 'Aaron', 'Penelope', 'Dean',
                         'Christina', 'Cornelia'])

print(df)
print("\n----------------\n")

print(df["State"].unique())

C:\pandas>python example50.py
          State
Jane         NY
Nick         TX
Aaron        FL
Penelope     AL
Dean         AK
Christina    TX
Cornelia     TX
 
----------------
 
['NY' 'TX' 'FL' 'AL' 'AK']
 
C:\pandas>

Creating a Series using List and Dictionary

Create and Print DataFrame

Set Index and Columns of DataFrame

Rename DataFrame Columns

select rows from a DataFrame using operator

Filter DataFrame rows using isin

Example of iterrows and itertuples

Drop DataFrame Column(s) by Name or Index

Add new column to DataFrame

Get list of the column headers

Generate DataFrame with random values

Select multiple columns from DataFrame

Create series using NumPy functions

Get index and values of a series

Specify an Index at Series creation

Get Length Size and Shape of a Series

Example of Heads, Tails and Takes

Slicing a Series into subsets

DataFrame slicing using loc

DataFrame slicing using iloc

loc vs iloc slicing in DataFrame

Reindex DataFrame columns

Determine DataFrame columns data type

Change DataFrame column data type from Int64 to String

Change DataFrame column data-type from UnixTime to DateTime

Alter DataFrame column data type from Float64 to Int32

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Convert Dictionary into DataFrame

Appending two DataFrame objects

Add row with specific index name

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Add a row at top

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Adding row to DataFrame with time stamp index

Adding rows with different column names

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Get mean(average) of rows and columns

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Join two columns

Empty DataFrame with Date Index

Filter rows which contain specific keyword

Filtering DataFrame Index

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Find all rows contain a Sub-string

Example of using any()

Example of where()

Count number of rows per group

Get Unique row values

DataFrame is empty

Count Distinct Values

Remove duplicate rows based on two columns

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Get value of a specific cell

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Remove duplicate rows

Get list of cell value conditionally

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Count distinct equivalent

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Calculating Co-variance

Stacking using non-hierarchical indexes

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