Index
A
- angular grids
- controlling / Controlling radial and angular grids
- animated plot
- creating / Creating animated plot
- animation API
- reference / Creating animated plot
- API data formats
- about / Typical API data formats
- comma-separated values (CSV) / CSV
- JavaScript Object Notation (JSON) / JSON
- API key
- URL / Importing and visualizing data from a JSON API
- arrows / Arrows
- average true range (ATR) / Integrating more pricing indicators
- axes
- adjusting / Adjusting axes, grids, labels, titles, and legends, Adjusting axes and ticks
- limits, adjusting / Adjusting axis limits
- labels, adding / Adding axis labels
- non-linear axis scale, using / Using a non-linear axis scale
B
- bar plot
- about / Bar plot
- properties, setting / Setting bar plot properties
- drawing, with error bars using multivariate data / Drawing bar plots with error bars using multivariate data
- Basemap
- installing / Basemap
- Beautiful Soup
- about / Scraping information from websites
- URL / Scraping information from websites
- installing / Scraping information from websites
- Bitcoin prices
- displaying, with Django and Matplotlib / Showing Bitcoin prices using Django and Matplotlib
- Django app, creating / Creating a Django app
- Django view, creating / Creating a simple Django view
- Bitcoin candlestick view, creating / Creating a Bitcoin candlestick view
- pricing indicators, integrating / Integrating more pricing indicators
- image, integrating into Django template / Integrating the image into a Django template
C
- callbacks / Introduction to the GTK+3 signal system
- cells / Editing and running code
- clustermap
- used, for creating hierarchy in multivariate data / Showing hierarchy in multivariate data with clustermap
- color
- controlling / Controlling the colors
- cycle / Default color cycle
- single-lettered abbreviations / Single-lettered abbreviations for basic colors
- HTML names / Standard HTML color names
- RGB color code / RGB or RGBA color code
- RGBA color code / RGB or RGBA color code
- hexadecimal code / Hexadecimal color code
- depth of grayscale / Depth of grayscale
- colormaps / Colormaps
- custom colormaps, creating / Creating custom colormaps
- colormaps
- about / Colormaps
- reference link / Colormaps
- comma-separated values (CSV) / CSV
- commodity channel index (CCI) / Integrating more pricing indicators
- Convolutional Neural Network (CNN)
- creating, for digit recognition / Creating a CNN to recognize digits
D
- 3D plots
- using, with Axes3D / 3D plots with Axes3D
- dash patterns
- custom dash style, designing / Designing a custom dash style
- data
- loading / Loading data
- importing, from JSON API / Importing and visualizing data from a JSON API
- visualizing, from JSON API / Importing and visualizing data from a JSON API
- Data-Driven Documents (D3) / Default color cycle
- dataset
- sample images, visualizing / Visualizing sample images from the dataset
- UCI ML handwritten digits dataset, importing / Importing the UCI ML handwritten digits dataset
- data structures
- list / List
- NumPy array / NumPy array
- pandas DataFrame / pandas DataFrame
- digit recognition
- with Convolutional Neural Network (CNN) / Creating a CNN to recognize digits
- Django
- about / More about Django
- key features / More about Django
- developing, in Docker containers / Django development in Docker containers
- site, starting / Starting a new Django site
- dependencies, installing / Installation of Django dependencies
- environment, setting up / Django environment setup
- development server, executing / Running the development server
- and Matplotlib, used for displaying Bitcoin prices / Showing Bitcoin prices using Django and Matplotlib
- Docker
- installing / Installing Docker
- installing, on Windows / Docker for Windows users
- installing, for Mac / Docker for Mac users
- Docker CE for Mac
- URL / Docker for Mac users
- Dockerfile
- about / Django development in Docker containers
- reference / Django development in Docker containers
- Docker Toolbox
- reference / Docker for Windows users
- URL / Docker for Windows users
- dots per inch (DPI) / Raster images, Setting the figure resolution, Non-interactive backends
E
- exponential moving average (EMA) / Integrating more pricing indicators
F
- FFmpeg
- installing / Creating animated plot
- URL / Creating animated plot
- reference / Creating animated plot
- fig.add_axes() function
- used, for drawing inset plots / Drawing inset plots with fig.add_axes()
- file
- plots, saving / Saving plots to a file
- financial plotting / Financial plotting
- font / Font
- FuncAnimation / Creating animated plot
G
- geographical plotting
- about / Geographical plotting, Basemap
- Basemap / Basemap
- GeoPandas / GeoPandas
- Geographic Information System (GIS) / Geographical plotting
- GeoPandas / GeoPandas
- get current axes / Spines
- Glade
- installing / Installing Glade
- GUI, designing / Designing the GUI using Glade
- interface / Designing the GUI using Glade
- graphical backends, Matplotlib
- about / Matplotlib graphical backends
- non-interactive backends / Non-interactive backends
- interactive backends / Interactive backends
- graphical user interfaces (GUI) applications / Interactive backends
- grids
- adjusting / Adjusting axes, grids, labels, titles, and legends
- adding / Adding a grid
- gross domestic product (GDP) / Importing and visualizing data from a JSON API
- GTK+3
- installing / Installing and setting up GTK+3
- setting up / Installing and setting up GTK+3
- reference / Installing and setting up GTK+3
- about / A brief introduction to GTK+3
- signal system / Introduction to the GTK+3 signal system
- Glade, installing / Installing Glade
H
- heatmap
- used, for visualizing multivariate data / Visualizing multivariate data with a heatmap
- histogram / Histogram
- historical bitcoin prices data
- reference / Creating a Bitcoin candlestick view
- Homebrew
- about / Creating animated plot
- URL / Creating animated plot
- HttpRequest object
- URL / Creating a simple Django view
- HttpResponse object
- URL / Creating a simple Django view
- hyperparameter tuning / Getting started
I
- ImageMagick
- installing / Creating animated plot
- URL / Creating animated plot
- image plotting / Image plotting
- information
- scraping, from websites / Scraping information from websites
- interactive backends
- about / Interactive backends
- using / Interactive backends
- io package
- URL / Creating a simple Django view
J
- JavaScript Object Notation (JSON) / JSON
- JSON API
- data, importing / Importing and visualizing data from a JSON API
- data, visualizing / Importing and visualizing data from a JSON API
- visualization tasks, simplifying with Seaborn / Using Seaborn to simplify visualization tasks
- Jupyter Notebook
- setting up / Setting up Jupyter Notebook
- URL / Setting up Jupyter Notebook
- session, initiating / Starting a Jupyter Notebook session
- executing, on remote server / Running Jupyter Notebook on a remote server
- code, editing / Editing and running code
- code, executing / Editing and running code
- kernel, manipulating / Manipulating notebook kernel and cells
- cells, manipulating / Manipulating notebook kernel and cells
- plots, embedding / Embed your Matplotlib plots
- Markdown, documenting / Documenting in Markdown
- auto saving / Save your hard work!
- Matplotlib, integrating / Jupyter support
- interactive navigation toolbar, accessing / Interactive navigation toolbar
K
- K Desktop Environment (KDE) / A brief introduction to Qt 5 and PyQt 5
- Kernel Density Estimation (KDE) plot
- about / More on Pandas-Matplotlib integration
- used, for displaying distribution / Showing distribution with the KDE plot
- keyword arguments
- marker styles, fine-tuning / Fine-tuning marker styles with keyword arguments
L
- labels
- adjusting / Adjusting axes, grids, labels, titles, and legends
- LaTex
- about / LaTeX support
- external text renderer / External text renderer
- legends
- adjusting / Adjusting axes, grids, labels, titles, and legends
- about / Titles and legends
- adding / Adding a legend
- line plot
- drawing / Line plot
- line styles
- about / Line and marker styles, Line styles
- color, setting / Color
- thickness / Line thickness
- dash patterns / Dash patterns
- cap styles / Cap styles
- list / List
M
- Mac
- Docker, installing / Docker for Mac users
- macOS
- Python, installation / Python installation for macOS
- marker
- shape, selecting / Choosing the shape of markers
- characters, using / Using custom characters as markers
- sizes, adjusting / Adjusting marker sizes and colors
- colors, adjusting / Adjusting marker sizes and colors
- marker styles
- about / Line and marker styles
- fine-tuning, with keyword arguments / Fine-tuning marker styles with keyword arguments
- mathematical notations
- about / Mathematical notations
- MathTex / Mathtext
- LaTex support / LaTeX support
- Matplotlib
- about / What is Matplotlib?
- benefits / Merits of Matplotlib, Open source and community support
- Matplotlib 2.x / What's new in Matplotlib 2.x?
- website / Matplotlib website and online documentation
- online documentation / Matplotlib website and online documentation
- output formats / Output formats and backends
- backends / Output formats and backends
- static output formats / Static output formats
- raster images / Raster images
- vector images / Vector images
- setting up / Setting up Matplotlib
- Python, installing / Installing Python
- installing / Installing Matplotlib
- dependencies / About the dependencies
- pip Python package manager, installing / Installing the pip Python package manager
- installing, with pip / Installing Matplotlib with pip
- Jupyter Notebook, setting up / Setting up Jupyter Notebook
- plots, creating / Our first plots with Matplotlib
- integrating, with Jupyter Notebook / Jupyter support
- configuring / Configuring Matplotlib
- configuring, with Python code / Configuring within Python code
- default settings, reverting / Reverting to default settings
- configuring, via rc file / Global setting via configuration rc file
- plot types / More native Matplotlib plot types
- embedding, in GUI from wxGlade / Embedding Matplotlib in a GUI from wxGlade
- and Django, used for displaying Bitcoin prices / Showing Bitcoin prices using Django and Matplotlib
- graphical backends / Matplotlib graphical backends
- Matplotlib 2.x
- about / What's new in Matplotlib 2.x?
- improved functionality / Improved functionality and performance
- improved performance / Improved functionality and performance
- improved color conversion API / Improved color conversion API and RGBA support
- RGBA support / Improved color conversion API and RGBA support
- improved image support / Improved image support
- text, rendering / Faster text rendering
- default animation codec, modifying / Change in the default animation codec
- default styles, modifying / Changes in default styles
- mean-and-error plots / Mean-and-error plots
- MNIST dataset
- reference / Image plotting
- model template view (MTV) design pattern / More about Django
- moving average convergence divergence (MACD) / Integrating more pricing indicators
- multiline plot
- creating / Multiline plots
- example / A complete example
- multiple data series, plots
- overlaying / Overlaying multiple data series in a plot
- multiline plots, creating / Multiline plots
- scatter plot, creating for clusters / Scatter plot to show clusters
- trendline, adding over scatter plot / Adding a trendline over a scatter plot
- multivariate data
- used, for drawing bar plots with error bars / Drawing bar plots with error bars using multivariate data
- visualizing, with heatmap / Visualizing multivariate data with a heatmap
- hierarchy, creating with clustermap / Showing hierarchy in multivariate data with clustermap
N
- non-interactive backends
- about / Non-interactive backends
- vector graphics / Non-interactive backends
- raster graphics / Non-interactive backends
- NumPy array / NumPy array
O
- object-oriented programming (OOP) / Introduction to the GTK+3 signal system
P
- Pandas-Matplotlib integration
- about / More on Pandas-Matplotlib integration
- density of bivariate data, displaying with hexbin plots / Showing the density of bivariate data with hexbin plots
- pandas DataFrame
- about / pandas DataFrame
- reference / pandas DataFrame
- pie chart / Pie chart
- pip Python package manager
- installing / Installing the pip Python package manager
- plots
- creating, in Matplotlib / Our first plots with Matplotlib
- pyplot, importing / Importing the pyplot
- line plot, drawing / Line plot
- scatter plot / Scatter plot
- multiple data series, overlaying / Overlaying multiple data series in a plot
- saving, to file / Saving plots to a file
- output format, setting / Setting the output format
- figure resolution, setting / Setting the figure resolution
- plot types
- expanding, with Seaborn / Expanding plot types with Seaborn
- plot types, Matplotlib
- right plot, choosing / Choosing the right plot
- histogram / Histogram
- bar plot / Bar plot
- mean-and-error plots / Mean-and-error plots
- pie chart / Pie chart
- polar chart / Polar chart
- plt.figure() API
- used, for initiating figure / Initiating a figure with plt.figure()
- plt.figure.add_subplot() function
- used, for adding subplots / Adding subplots with plt.figure.add_subplot()
- plt.subplot() function
- used, for initiating subplots as axes / Initiating subplots as axes with plt.subplot()
- plt.subplot2grid() function
- used, for aligning subplots of different dimensions / Aligning subplots of different dimensions with plt.subplot2grid()
- plt.subplots() function
- used, for initiating array of subplots / Initiating an array of subplots with plt.subplots()
- shared axes / Shared axes
- plt.subplots_adjust function
- used, for adjusting subplot dimensions post hoc / Adjusting subplot dimensions post hoc with plt.subplots_adjust
- plt.tight_layout() function
- used, for setting margin / Setting the margin with plt.tight_layout()
- polar chart
- about / Polar chart
- radial grids, controlling / Controlling radial and angular grids
- angular grids, controlling / Controlling radial and angular grids
- pole / Polar chart
- purchasing power parity (PPP) / Importing and visualizing data from a JSON API
- PyGame
- about / Creating animated plot
- URL / Creating animated plot
- PyProj
- reference / Basemap
- PyQt 5
- about / A brief introduction to Qt 5 and PyQt 5
- versus PyQt 4 / Differences between Qt 4 and PyQt 4
- Python
- URL / Installing Python
- installing / Installing Python
- installation, for Windows / Python installation for Windows
- installation, for macOS / Python installation for macOS
- installation, for Linux / Python installation for Linux
- Matplotlib, configuring / Configuring within Python code
Q
- Qt 5
- about / A brief introduction to Qt 5 and PyQt 5
- versus Qt 4 / Differences between Qt 4 and PyQt 4
- GUI, designing with QT Creator/ QT Designer / Introducing QT Creator / QT Designer
- QT Creator / Introducing QT Creator / QT Designer
- QT Designer / Introducing QT Creator / QT Designer
- Quandl
- about / Creating a Bitcoin candlestick view, Importing and visualizing data from a JSON API
- references / Creating a Bitcoin candlestick view
R
- radial grids
- controlling / Controlling radial and angular grids
- raster graphics / Non-interactive backends
- rc file
- Matplotlib, configuring / Global setting via configuration rc file
- searching / Finding the rc configuration file
- editing / Editing the rc configuration file
- relative strength index (RSI) / Integrating more pricing indicators
S
- scatter plot
- about / Scatter plot
- creating, for clusters / Scatter plot to show clusters
- trendline, adding / Adding a trendline over a scatter plot
- scikit-learn
- datasets, URL / Scatter plot to show clusters
- t-Distributed Stochastic Neighbor Embedding (t-SNE), importing / Importing the t-SNE method from scikit-learn
- scikit-learn library
- URL / Scatter plot to show clusters
- Scrapy / Scraping information from websites
- Seaborn
- used, for expanding plot types / Expanding plot types with Seaborn
- visualization tasks, simplifying / Using Seaborn to simplify visualization tasks
- SECRET_KEY
- URL / Django environment setup
- Serif
- versus Sans Serif / Suitable font styles
- spines / Spines
- Stockstats
- about / Integrating more pricing indicators
- URL / Integrating more pricing indicators
- style sheet
- using / Using style sheets
- applying / Applying a style sheet
- creating / Creating own style sheet
- reference link / Creating own style sheet
- resetting / Resetting to default styles
- styling
- aesthetics / Aesthetics and readability considerations in styling
- readability considerations / Aesthetics and readability considerations in styling
- font styles, selecting / Suitable font styles
- color, using / Effective use of colors
- simplicity / Keeping it simple
- subplot
- drawing / Drawing Subplots
- plt.figure() API, used for initiating figure / Initiating a figure with plt.figure()
- initiating, as axes with plt.subplot() / Initiating subplots as axes with plt.subplot()
- adding, with plt.figure.add_subplot() function / Adding subplots with plt.figure.add_subplot()
- array, initiating with plt.subplots() function / Initiating an array of subplots with plt.subplots()
- margin, setting with plt.tight_layout() function / Setting the margin with plt.tight_layout()
- aligning of different dimensions, with plt.subplot2grid() function / Aligning subplots of different dimensions with plt.subplot2grid()
- inset plots, drawing with fig.add_axes() function / Drawing inset plots with fig.add_axes()
- dimensions post hoc, adjusting with plt.subplots_adjust function / Adjusting subplot dimensions post hoc with plt.subplots_adjust
T
- t-Distributed Stochastic Neighbor Embedding (t-SNE)
- data nature, exploring / Exploring the data nature by the t-SNE method
- about / Understanding t-Distributed stochastic neighbor embedding
- importing, form scikit-learn / Importing the t-SNE method from scikit-learn
- hypervariables, setting / Importing the t-SNE method from scikit-learn
- plot, drawing for data / Drawing a t-SNE plot for our data
- text annotations
- about / Text and annotations
- adding / Adding text annotations
- font / Font
- mathematical notations / Mathematical notations
- arrows / Arrows
- ticks
- adjusting / Adjusting axes and ticks
- space customization, with locators / Customizing tick spacing with locators
- removing, with NullLocator / Removing ticks with NullLocator
- locating, in multiples with MultipleLocator / Locating ticks in multiples with MultipleLocator
- locators, for displaying date and time / Locators to display date and time
- TimedAnimation / Creating animated plot
- titles
- adjusting / Adjusting axes, grids, labels, titles, and legends
- about / Titles and legends
- adding / Adding a title
U
- UCI ML handwritten digits dataset
- importing / Importing the UCI ML handwritten digits dataset
- reference / Importing the UCI ML handwritten digits dataset
- sample images, plotting / Plotting sample images
- image each of digits 0-9, extracting / Extracting one sample each of digits 0-9
- randomness, examining / Examining the randomness of the dataset
- 10 digits, plotting in subplots / Plotting the 10 digits in subplots
V
- vector graphics / Non-interactive backends
- visualizations
- simplifying, with Seaborn / Using Seaborn to simplify visualization tasks
- prediction results, evaluating / Evaluating prediction results with visualizations
- prediction performance, examining for each digit / Examining the prediction performance for each digit
- falsely predicted images, extracting / Extracting falsely predicted images
W
- websites
- information, scraping / Scraping information from websites
- wedges / Pie chart
- Windows
- Python, installation / Python installation for Windows
- Docker, installing / Docker for Windows users
- World Bank World Development Indicators (WWDI) database / Importing and visualizing data from a JSON API
- wxGlade
- about / Embedding Matplotlib in a GUI from wxGlade
- Matplotlib, embedding in GUI / Embedding Matplotlib in a GUI from wxGlade
- wxPython
- about / A brief introduction to wxWidgets and wxPython
- URL / A brief introduction to wxWidgets and wxPython
- example / A brief introduction to wxWidgets and wxPython
- wxWidgets
- about / A brief introduction to wxWidgets and wxPython
- ID system / A brief introduction to wxWidgets and wxPython
- sizer widgets / A brief introduction to wxWidgets and wxPython
- example / A brief introduction to wxWidgets and wxPython
- Matplotlib, embedding in GUI from wxGlade / Embedding Matplotlib in a GUI from wxGlade
