Beginning Python Visualization - Crafting Visual T

文件名称: Beginning Python Visualization - Crafting Visual Transformation Scripts

所属分类: Python

开发工具:

文件大小: 2mb

下载次数: 0

上传时间: 2019-08-18

提供者: drji*****

下载 (2mb)

不能下载？报告错误

详细说明：Contents at a Glance About the Author..................................................................xv About the Technical Reviewer......................................................xvi Acknowledgments...............................................................xvii Introduction.............This book is dedicated to my wife, Orna vaingast Contents at a glance About the author About the technical reviewer Acknowledgments Introduction CHAPTER 1 Navigating the World of Data visualization CHAPTER 2 The environment 31 CHAPTER 3 Python for Programmers .53 CHAPTER 4 Data organization 101 CHAPTER 5 Processing Text Files 135 CHAPTER 6 Graphs and Plots CHAPTER 7 Math Games 221 CHAPTER 8 Science and visualization 249 CHaPTER 9 Image Processing 285 CHAPTER 10 Advanced File Processing 319 APPENDIX Additional Source Listing 343 INDEX 349 Contents About the auth About the technical reviewer Acknowledgments Introduction CHAPTER 1 Navigating the World of data visualization Gathering data Case Study GPS Data Scanning serial ports Recording GPS Data Data Organization File format 6 File Naming Conventions .7 Data location Data analysis Walking Directories 8 Reading csv files Analyzing GPS Data Extracting GPS Data 14 Data visualization 17 GPS Location plot 18 Annotating the Graph 20 Velocity Plot .22 Subplots 23 Text 23 Tying It All Together Final notes and references 29 CONTENTS chaPTer 2 The environment 31 Operating systems ....32 GNU/Linux 32 Windows 33 Choosing an operating system ....,35 Then Again, Why Choose? Using Several Operating Systems..36 The python Environment 37 Versions 37 Python Python Integrated Development Environments Scientific Computing 41 Plotting .....42 Image Processing 43 Additional Python Packages 43 Installation Summary Additional applications 45 Editors A Short list of text editors 47 Spreadsheets 48 Word Processors 48 Image Viewers 49 Version Control Systems 49 Licensing 51 Final notes and references .....52 CHAPTER 3 Python for Programmers .53 What Is Python? .53 Interactive Python 54 Invoking Python 54 Entering Commands 55 The Interactive Help system 56 Moving Around 57 Running scripts Data Types Numbers Strings Booleans 67 CONTENTS Data structures Lists Tuples 72 Dictionaries Sets Variables Statements 8 Printing 81 User Input 84 Comments Flow control Some built-in functions 92 Defining functions .....93 Generators 94 Generator Expressions Object-Oriented Programming Modules and Packag 97 The import Statement Modules Installed in a System The dir statement Final notes and references ao CHAPTER 4 Data Organization ....101 File Name conventions 102 Date and Time in a file Name 102 Useful file name titles 104 File Name extensions 104 In conclusion Other schemes 107 File Formats CSV File format 109 Binary Files 117 Readme files 123 INI Files 123 XML 125 Other File formats Locating Data Files 126 Organization into Directories 126 Searching for Files 127 Indexing CONTENTS Catalogs 131 Files vs. a database 133 Final notes and references ....134 CHAPTER 5 Processing Text Files 135 Text and Strings Splitting text Joining strings 137 Converting Strings to Numbers 137 Find and replace 143 Stripping Strings .144 String Formatting 145 String Conditionals 146 More on Strings 147 Files 147 Opening a file 147 Closing a file Writing Text 148 Reading Text 149 Working with Text Files 150 Example: Character, Word, and Line Count 151 Example: head and tail 152 Example: Splitting and combining Files 153 EXample: Searching Inside a Text File 155 Example: Working with Comments 156 Example: Extracting Numbers from a Text File .157 CSV Files 159 The csy module 159 The csv. reader Object 160 The csv. writer object 161 More csv Functionality 161 DictReader and DictWriter Objects 162 Date and Time .163 Time module 164 The struct_time tuple 16 Parsing and Formatting Date and Time 165 The epoch:“ Linearizing” the time base 168 Additional time and date Functions 173 CONTENTS X Regular Expressions Regular Expression Patterns 173 Special Sequences Alternatives 175 Ranges When to Use Regular Expressions 175 Internationalization and localization 176 cale Unicode Strings 178 Final notes and references chaPter 6 Graphs and plots 183 The Matplotlib Packag 183 Interactive Graphs vS Image Files 184 Interactive graphs 185 Saving Graphs to Files 187 Plotting Graph 189 Lines and markers Plotting Several Graphs on One Figure 191 Line widths and marker sizes 192 Colors 193 Controlling the graph 194 Axis 194 grid and Ticks 195 Subplot 196 Erasing the Graph 197 Adding Text 197 Title Axis Labels and legend Text rendering 199 Mathematical Symbols and Expressions More graph Types 201 Bar charts 201 Histograms 204 Pie charts 206 ogarithmic Plots 207 Polar plots 208 Stem Plots 209 Additional graphs 210 CONTENTS Getting and setting values 213 Setting Figure and Axis Parameters 215 Patches 217 Example: Adding arrows to a Graph 218 Example: Some Other Patches 219 Final notes and references 220 CHAPTER 7 Math Games ...221 Modules math and cmath 221 Example: A Newton Fractal 224 Module random 228 Using random to Solve Probability Questions 229 Random sequences 232 Module NumPy Array Creation 234 Slicing, Indexing, and Reshaping 235 N-Dimensional arrays 236 Math Functions 239 Array Methods and Properties 241 Other Useful Array Functions ....247 Final notes and references 247 CHAPTER 8 Science and visualization 249 Finding your Way variables and Functions 250 SciPy 250 Linear Algebra 251 Solving a System of Linear Equations ...251 Vector and Matrix Operations 252 Matrix Decomposition 253 Additional Linear Algebra Functionality 254 Numerical Integration 254 More Integration Methods 257 Interpolation and Curve Fitting Piecewise Linear Interpolation Polynomials Jses of polynomials Spline Interpolation 266

(系统自动生成,下载前可以参看下载内容)