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Matplotlib for Intermediates

Create stunning visualizations that tell powerful data stories!

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Intermediate

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Matplotlib for Intermediates

4 Modules

Course Curriculum

4 Modules · 17 Chapters · 17 Topics · 126 Sub-topics

Introduction to Matplotlib

1 Topics

Introduction to Matplotlib

5 Sub-topics

What is Matplotlib and Why Use It

Installing Matplotlib and Verifying Setup

Understanding Pyplot vs Object-Oriented Interface

Your First Plot - Hello Matplotlib

Jupyter Notebook Integration and Magic Commands

Basic Plotting Fundamentals

1 Topics

Basic Plotting Fundamentals

6 Sub-topics

Understanding plot() Function Basics

Creating Simple Line Plots

Plotting Multiple Lines on One Graph

Setting X and Y Axis Data

Understanding Matplotlib's State Machine

Quick Styling with Format Strings

Figure and Axes Architecture

1 Topics

Figure and Axes Architecture

7 Sub-topics

Understanding Figure Objects

Understanding Axes Objects

Creating Figures with plt.figure()

Creating Figures with plt.subplots()

Figure Size and DPI Settings

Axes vs Axis - Clearing the Confusion

The Anatomy of a Matplotlib Plot

Line Plots and Customization

1 Topics

Line Plots and Customization

8 Sub-topics

Line Styles - Solid, Dashed, Dotted

Line Width and Transparency

Line Colors - Named, Hex, RGB

Markers - Types and Customization

Marker Size and Edge Properties

Creating Smooth Curves

Plotting Mathematical Functions

Step Plots and Fill Between

Scatter Plots

1 Topics

Scatter Plots

7 Sub-topics

Creating Basic Scatter Plots

Marker Size Variation by Data

Color Mapping by Data Values

Adding Color Bars

Marker Transparency and Overlapping Data

Scatter Plot with Different Marker Types

Bubble Charts

Bar Charts and Variants

1 Topics

Bar Charts and Variants

7 Sub-topics

Vertical Bar Charts

Horizontal Bar Charts

Customizing Bar Width and Colors

Grouped Bar Charts

Stacked Bar Charts

Bar Charts with Error Bars

Adding Value Labels on Bars

Histograms and Distributions

1 Topics

Histograms and Distributions

7 Sub-topics

Creating Basic Histograms

Controlling Bin Number and Width

Histogram Customization and Styling

Multiple Histograms with Transparency

Cumulative Histograms

2D Histograms

Density Plots and KDE Overlays

Box Plots and Violin Plots

1 Topics

Box Plots and Violin Plots

7 Sub-topics

Creating Box Plots

Understanding Box Plot Components

Horizontal Box Plots

Multiple Box Plots for Comparison

Customizing Box Plot Appearance

Violin Plots Basics

Box Plots vs Violin Plots

Heatmaps and 2D Representations

1 Topics

Heatmaps and 2D Representations

8 Sub-topics

Creating Heatmaps with imshow()

Creating Heatmaps with pcolor() and pcolormesh()

Adding Color Bars and Labels

Custom Color Maps

Interpolation Methods

Contour Plots

Filled Contour Plots

Contour Labels and Customization

Subplots and Multiple Plots

1 Topics

Subplots and Multiple Plots

8 Sub-topics

Creating Subplots with plt.subplots()

Creating Subplots with plt.subplot()

Unequal Subplot Sizes with GridSpec

Nested Subplots

Sharing Axes Between Subplots

Tight Layout and Spacing

Subplot Labels and Titles

Creating Inset Plots

Customizing Plot Appearance

1 Topics

Customizing Plot Appearance

9 Sub-topics

Setting Plot Titles

Axis Labels and Font Properties

Tick Customization - Location and Labels

Tick Formatting - Numbers and Dates

Axis Limits and Ranges

Axis Scales - Linear, Log, Symlog

Spine Customization

Removing Spines and Ticks

Plot Styles and Style Sheets

Text, Annotations, and Labels

1 Topics

Text, Annotations, and Labels

8 Sub-topics

Adding Text to Plots

Text Positioning and Alignment

Text Properties - Font, Size, Color

Mathematical Expressions with LaTeX

Annotations with Arrows

Annotation Styles and Customization

Automatic Text Positioning

Text Boxes and Boundaries

Working with Colors and Colormaps

1 Topics

Working with Colors and Colormaps

9 Sub-topics

Color Specification Methods

Named Colors and Color Codes

Built-in Colormaps Overview

Sequential Colormaps

Diverging Colormaps

Qualitative Colormaps

Creating Custom Colormaps

Color Normalization

Colorblind-Friendly Palettes

Legends and Grid Customization

1 Topics

Legends and Grid Customization

8 Sub-topics

Creating Basic Legends

Legend Location and Positioning

Legend Customization - Font and Frame

Multiple Legends in One Plot

Custom Legend Entries

Grid Lines - Major and Minor

Grid Styling and Transparency

Customizing Grid Appearance

Dates and Times in Plots

1 Topics

Dates and Times in Plots

7 Sub-topics

Plotting Time Series Data

Date Formatting on Axes

Date Locators and Formatters

Time Zones Handling

Date Range Selection

Custom Date Formats

Multiple Time Scales

Integration with Other Libraries

1 Topics

Integration with Other Libraries

7 Sub-topics

Matplotlib with NumPy Arrays

Matplotlib with Pandas DataFrames

Plotting Directly from Pandas

Matplotlib with SciPy

Combining with Seaborn

Exporting to Plotly

Integration Best Practices

Saving and Exporting Plots

1 Topics

Saving and Exporting Plots

8 Sub-topics

Saving Figures with savefig()

File Formats - PNG, JPG, PDF, SVG

DPI and Resolution Settings

Transparent Backgrounds

Bbox and Tight Layout in Saving

Multi-Page PDFs

Vector vs Raster Formats

Optimizing File Size

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Matplotlib for Intermediates

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

Start Your Journey Today

Matplotlib for Intermediates

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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