Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries
Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book Learn how to set up an optimal Python environment for data visualization Understand how to import, clean and organize your data Determine different approaches to dat...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK
Packt Publishing
2015
|
Ausgabe: | Second edition. |
Schriftenreihe: | Quick answers to common problems
|
Schlagworte: | |
Online-Zugang: | lizenzpflichtig |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047691506 | ||
003 | DE-627-1 | ||
005 | 20240228120016.0 | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2015 xx |||||o 00| ||eng c | ||
020 | |a 9781784394943 |c electronic bk. |9 978-1-78439-494-3 | ||
020 | |a 1784394947 |c electronic bk. |9 1-78439-494-7 | ||
020 | |a 1523106239 |9 1-5231-0623-9 | ||
020 | |a 9781523106233 |9 978-1-5231-0623-3 | ||
020 | |a 9781784396695 |9 978-1-78439-669-5 | ||
035 | |a (DE-627-1)047691506 | ||
035 | |a (DE-599)KEP047691506 | ||
035 | |a (ORHE)9781784396695 | ||
035 | |a (DE-627-1)047691506 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
072 | 7 | |a COM |2 bisacsh | |
072 | 7 | |a COM |2 bisacsh | |
082 | 0 | |a 005.133 |2 23 | |
100 | 1 | |a Milovanović, Igor |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Python data visualization cookbook |b over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries |c Igor Milovanović, Giuseppe Vettigli, Dimitry Foures |
250 | |a Second edition. | ||
264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2015 | |
300 | |a 1 online resource |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a Quick answers to common problems | |
500 | |a Includes index. - Online resource; title from cover page (Safari, viewed December 15, 2015) | ||
520 | |a Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book Learn how to set up an optimal Python environment for data visualization Understand how to import, clean and organize your data Determine different approaches to data visualization and how to choose the most appropriate for your needs Who This Book Is For If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you. What You Will Learn Introduce yourself to the essential tooling to set up your working environment Explore your data using the capabilities of standard Python Data Library and Panda Library Draw your first chart and customize it Use the most popular data visualization Python libraries Make 3D visualizations mainly using mplot3d Create charts with images and maps Understand the most appropriate charts to describe your data Know the matplotlib hidden gems Use plot.ly to share your visualization online In Detail Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python. Style and approach A step-by-step recipe based approach to data visualization. The topics are explained sequentially as cookbook recipes consisting of a code snippet and the resulting visualization. | ||
650 | 0 | |a Information visualization | |
650 | 0 | |a Python (Computer program language) | |
650 | 4 | |a Visualisation de l'information | |
650 | 4 | |a Python (Langage de programmation) | |
650 | 4 | |a COMPUTERS ; Data Visualization | |
650 | 4 | |a COMPUTERS ; Programming Languages ; Python | |
650 | 4 | |a Information visualization | |
650 | 4 | |a Python (Computer program language) | |
700 | 1 | |a Vettigli, Giuseppe |e VerfasserIn |4 aut | |
700 | 1 | |a Foures, Dimitry |e VerfasserIn |4 aut | |
856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781784396695/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-047691506 |
---|---|
_version_ | 1818767296344096768 |
adam_text | |
any_adam_object | |
author | Milovanović, Igor Vettigli, Giuseppe Foures, Dimitry |
author_facet | Milovanović, Igor Vettigli, Giuseppe Foures, Dimitry |
author_role | aut aut aut |
author_sort | Milovanović, Igor |
author_variant | i m im g v gv d f df |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047691506 (DE-599)KEP047691506 (ORHE)9781784396695 |
dewey-full | 005.133 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.133 |
dewey-search | 005.133 |
dewey-sort | 15.133 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | Second edition. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04611cam a22005532 4500</leader><controlfield tag="001">ZDB-30-ORH-047691506</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120016.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781784394943</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-78439-494-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1784394947</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-78439-494-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1523106239</subfield><subfield code="9">1-5231-0623-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781523106233</subfield><subfield code="9">978-1-5231-0623-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781784396695</subfield><subfield code="9">978-1-78439-669-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047691506</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047691506</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781784396695</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047691506</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Milovanović, Igor</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python data visualization cookbook</subfield><subfield code="b">over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries</subfield><subfield code="c">Igor Milovanović, Giuseppe Vettigli, Dimitry Foures</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Quick answers to common problems</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index. - Online resource; title from cover page (Safari, viewed December 15, 2015)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book Learn how to set up an optimal Python environment for data visualization Understand how to import, clean and organize your data Determine different approaches to data visualization and how to choose the most appropriate for your needs Who This Book Is For If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you. What You Will Learn Introduce yourself to the essential tooling to set up your working environment Explore your data using the capabilities of standard Python Data Library and Panda Library Draw your first chart and customize it Use the most popular data visualization Python libraries Make 3D visualizations mainly using mplot3d Create charts with images and maps Understand the most appropriate charts to describe your data Know the matplotlib hidden gems Use plot.ly to share your visualization online In Detail Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python. Style and approach A step-by-step recipe based approach to data visualization. The topics are explained sequentially as cookbook recipes consisting of a code snippet and the resulting visualization.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Information visualization</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Visualisation de l'information</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; Data Visualization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; Programming Languages ; Python</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information visualization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vettigli, Giuseppe</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Foures, Dimitry</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781784396695/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-047691506 |
illustrated | Illustrated |
indexdate | 2024-12-18T08:47:37Z |
institution | BVB |
isbn | 9781784394943 1784394947 1523106239 9781523106233 9781784396695 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 online resource illustrations |
psigel | ZDB-30-ORH |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Packt Publishing |
record_format | marc |
series2 | Quick answers to common problems |
spelling | Milovanović, Igor VerfasserIn aut Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries Igor Milovanović, Giuseppe Vettigli, Dimitry Foures Second edition. Birmingham, UK Packt Publishing 2015 1 online resource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Quick answers to common problems Includes index. - Online resource; title from cover page (Safari, viewed December 15, 2015) Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book Learn how to set up an optimal Python environment for data visualization Understand how to import, clean and organize your data Determine different approaches to data visualization and how to choose the most appropriate for your needs Who This Book Is For If you already know about Python programming and want to understand data, data formats, data visualization, and how to use Python to visualize data then this book is for you. What You Will Learn Introduce yourself to the essential tooling to set up your working environment Explore your data using the capabilities of standard Python Data Library and Panda Library Draw your first chart and customize it Use the most popular data visualization Python libraries Make 3D visualizations mainly using mplot3d Create charts with images and maps Understand the most appropriate charts to describe your data Know the matplotlib hidden gems Use plot.ly to share your visualization online In Detail Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that will guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. Initially it uses simple plots and charts to more advanced ones, to make it easy to understand for readers. As the readers will go through the book, they will get to know about the 3D diagrams and animations. Maps are irreplaceable for displaying geo-spatial data, so this book will also show how to build them. In the last chapter, it includes explanation on how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python. Style and approach A step-by-step recipe based approach to data visualization. The topics are explained sequentially as cookbook recipes consisting of a code snippet and the resulting visualization. Information visualization Python (Computer program language) Visualisation de l'information Python (Langage de programmation) COMPUTERS ; Data Visualization COMPUTERS ; Programming Languages ; Python Vettigli, Giuseppe VerfasserIn aut Foures, Dimitry VerfasserIn aut TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781784396695/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | Milovanović, Igor Vettigli, Giuseppe Foures, Dimitry Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries Information visualization Python (Computer program language) Visualisation de l'information Python (Langage de programmation) COMPUTERS ; Data Visualization COMPUTERS ; Programming Languages ; Python |
title | Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries |
title_auth | Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries |
title_exact_search | Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries |
title_full | Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries Igor Milovanović, Giuseppe Vettigli, Dimitry Foures |
title_fullStr | Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries Igor Milovanović, Giuseppe Vettigli, Dimitry Foures |
title_full_unstemmed | Python data visualization cookbook over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries Igor Milovanović, Giuseppe Vettigli, Dimitry Foures |
title_short | Python data visualization cookbook |
title_sort | python data visualization cookbook over 70 recipes based on the principal concepts of data visualization to get you started with popular python libraries |
title_sub | over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries |
topic | Information visualization Python (Computer program language) Visualisation de l'information Python (Langage de programmation) COMPUTERS ; Data Visualization COMPUTERS ; Programming Languages ; Python |
topic_facet | Information visualization Python (Computer program language) Visualisation de l'information Python (Langage de programmation) COMPUTERS ; Data Visualization COMPUTERS ; Programming Languages ; Python |
url | https://learning.oreilly.com/library/view/-/9781784396695/?ar |
work_keys_str_mv | AT milovanovicigor pythondatavisualizationcookbookover70recipesbasedontheprincipalconceptsofdatavisualizationtogetyoustartedwithpopularpythonlibraries AT vettigligiuseppe pythondatavisualizationcookbookover70recipesbasedontheprincipalconceptsofdatavisualizationtogetyoustartedwithpopularpythonlibraries AT fouresdimitry pythondatavisualizationcookbookover70recipesbasedontheprincipalconceptsofdatavisualizationtogetyoustartedwithpopularpythonlibraries |