Python for Data Science: Chapter 5: NumPy and Pandas Libraries

Pandas: Drop Entry

Python library

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The drop method is used to drop entries from an axis.

Drop Entry

• The drop method is used to drop entries from an axis. Following Python code illustrates this method

 

Python code

import pandas as pd

data = [10,20,30,40]

x = pd.Series(data, index=["a","b","c","d"],dtype = float)

print(x)

#calling drop on series

print("‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒")

print("             Dropping              ")

print("‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒")

y = x.drop(["b"])

print(y)


Output



Python for Data Science: Chapter 5: NumPy and Pandas Libraries : Tag: Computer Programming, Python, Data Science : Python library - Pandas: Drop Entry

Home | Department: AID Department | Ist Year | Subject: Python for Data Science |
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Python for Data Science: Chapter 5: NumPy and Pandas Libraries


Introduction to NumPy - Uses, Installation, Importing | Python library

NumPy: Creating Arrays - Python library

NumPy: Attributes of Arrays - Python library

NumPy Array Objects - Python library

NumPy: Basic array Operations - Python library

NumPy: Indexing - Python library

NumPy: Slicing - Python library

NumPy: Iterating - Python library

NumPy: Copying Arrays - Python library

NumPy: Arrays Shape Manipulation - Python library

NumPy: Identity Array - Python library

NumPy: Eye Function - Python library

Introduction to Pandas - Python library

Pandas: Exploring Data using Series - Python library

Pandas: Exploring Data using Data Frames - Python library

Pandas: Index Objects - Python library

Pandas: Reindexing - Python library

Pandas: Drop Entry - Python library

Pandas: Selecting Entries - Python library

Pandas: Arithmetic and Data Alignment - Python library

Pandas: Sort and Rank - Python library

Pandas: Index Hierarchy - Python library

Pandas: Summary Statistics - Python library

Pandas: Grouping - Python library

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