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AuthorWes McKinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of Pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas group by facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

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【One-Line Pitch】 Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Pyt… 【Book Arc】 - **Opening (~0%–12%)**: You'll learn the latest versions of Pandas, NumPy, and Jupyter in the process.; 495 A.6 More About Sorting 495 - **Early (~12%–35%)**: They can be easily located via an internet search.; m my wesm/pydata-book repository on GitHub. - **Middle (~35%–65%)**: Here the elements (1, 0), (5, 3), (7, 1), and (2, 2) were selected.; If memory is more con‐ strained, then a different approach will be required. - **Late (~65%–88%)**: default is None axis Axis to fill on ("index" or "columns");; A single expression, commonly called a regex, is a string formed according to the regular expression language. - **Ending (~88%–100%)**: is passed to matplotlib for plotting on the x-axis, though you can disable this by passing use_index False.; 2954 2010 1.052608 0.001261 2011 0.806605 0.001514 10.4 Group Transforms and “Unwrapped” GroupBys In Section 10.3, “Apply: Gen 【Key Takeaways】 - **You'll learn the lates…** (Opening): You'll learn the latest versions of Pandas, NumPy, and Jupyter in the process. - **495 A.6 More About Sor…** (Opening): 495 A.6 More About Sorting 495 - **The same story has hel…** (Opening): The same story has held true for many companies and national labs that have used Python to glue together decades’ worth of legacy software. - **They can be easily loc…** (Early): They can be easily located via an internet search. - **m my wesm/pydata** (Early): m my wesm/pydata-book repository on GitHub. - **enumerate It’s common…** (Early): enumerate It’s common when iterating over a sequence to want to keep track of the index of the current item. 【Reading Tips】 - Use Passage locations below to jump into the text and set reading anchors - If this is a brief outline, click Regenerate (top right) for a synthesized guide 【Coverage Limits】 Compressed outline without the model (~33 index chunks). Full structured guide needs AI available.
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423 13. Data Analysis Examples. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425 13.1 Bitly Data fro...
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m my wesm/pydata-book repository on GitHub. See Figure 2-3. When you want to close a notebook, click the File menu and select “Close and Halt.” If you simply...
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| Chapter 3: Built-In Data Structures, Functions, and Files UnicodeDecodeError Traceback (most recent call last) <ipython-input-264-846a5c2fed34> in <module>...
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frame2[column] works for any column name, but frame2.column works only when the column name is a valid Python variable name and does not conflict with any of...
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nk & Trust Company May 6, 2016 September 6, 2016 3 The Bank of Fayette County April 29, 2016 September 6, 2016 4 First-Citizens Bank & Trust Company March 11...
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(2, object): ['apple', 'orange'] You can also create pandas.Categorical directly from other types of Python sequences: In [222]: my_categories = pd.Categoric...
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and Legends” on page 290). Colors, Markers, and Line Styles matplotlib’s line plot function accepts arrays of x and y coordinates and optional color styling...
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2954 2010 1.052608 0.001261 2011 0.806605 0.001514 10.4 Group Transforms and “Unwrapped” GroupBys In Section 10.3, “Apply: Gen
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Python
ISBN: 109810403X
Publisher: O'Reilly Media
Publish Year: 2022
Language: English
Pages: 582
File Format: PDF
File Size: 8.9 MB
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