Python Matplotlib Tutorials - Comprehensive Guide for Data Visualization

Matplotlib

Matplotlib is a powerful Python library for creating static, interactive, and animated visualizations in a variety of formats.

Matplotlib provides a wide range of plotting options to generate plots, charts, and graphs.

Matplotlib is a popular choice for data visualization in scientific computing, data analysis, and machine learning applications.

Matplotlib Get Started

1. Matplotlib - Get started
2. Matplotlib - pyplot

Matplotlib Line Graphs

1. Matplotlib - Plot line
2. Matplotlib - Plot line style
   1. Matplotlib - Plot solid line
   2. Matplotlib - Plot dotted line
   3. Matplotlib - Plot dashed line
   4. Matplotlib - Plot dash-dot line
3. Matplotlib - Plot line color
4. Matplotlib - Plot line width
5. Matplotlib - Plot multiple lines
6. Matplotlib - Plot line with random values

Matplotlib Plot Points

1. Matplotlib - Plot points
2. Matplotlib plot() - Marker face color
3. Matplotlib plot() - Marker edge color
4. Matplotlib plot() - Marker size
5. Matplotlib - Plot points with random values

Matplotlib Plot Labels

1. Matplotlib - Plot Labels
2. Matplotlib - X-axis label
3. Matplotlib - Y-axis label
4. Matplotlib - Label fontdict
5. Matplotlib - Label font family
6. Matplotlib - Label font size
7. Matplotlib - Label color
8. Matplotlib - Label location

Matplotlib Title

1. Matplotlib - Plot Title
2. Matplotlib - Title font family
3. Matplotlib - Title font size
4. Matplotlib - Title color
5. Matplotlib - Title location

Matplotlib Grid

1. Matplotlib - Grid
2. Matplotlib - Display grid only along X-axis (Vertical Grid)
3. Matplotlib - Display grid only along Y-axis (Horizontal Grid)
4. Matplotlib - Grid color
5. Matplotlib - Grid line style
6. Matplotlib - Grid line width

Matplotlib SubPlots

1. Matplotlib - Subplots
2. Matplotlib - Subplots with one row and two columns
3. Matplotlib - Subplots with two rows and two columns
4. Matplotlib - Subplot title
5. Matplotlib - Subplot figure size
6. Matplotlib - Subplot legend
7. Matplotlib - Subplot axis labels
8. Matplotlib - Subplot spacing
9. Matplotlib - Subplot grid
10. Matplotlib - Subplot Different Size

Matplotlib Scatter Plots

1. Matplotlib - Scatter plot
2. Matplotlib - Two scatter plots in the same figure
3. Matplotlib - Multiple scatter plots in the same figure
4. Matplotlib - Scatter plot color
5. Matplotlib - Scatter plot color based on condition
6. Matplotlib - Scatter plot with specific color for each marker
7. Matplotlib - Color Map
8. Matplotlib - Color bar
9. Matplotlib - Scatter plot with random values

Matplotlib Pie Charts

1. Matplotlib - Pie chart
2. Matplotlib - Pie Chart Title
3. Matplotlib - Pie Chart Show Percentage
4. Matplotlib - Pie Chart Show Percentage and Value
5. Matplotlib - Pie Chart autopct
6. Matplotlib - Pie Chart - Avoid Labels Overlap
7. Matplotlib - Pie Chart from Pandas DataFrame
8. Matplotlib - Pie Chart Colors

Matplotlib Bar Plots

1. Matplotlib - Bar Plot
2. Matplotlib - Set Bar Colors in Bar Plot
3. Matplotlib - Bar Plot - Sort Descending
4. Matplotlib - Bar Plot Rotate Labels
5. Matplotlib - Bar Plot X-axis Labels
6. Matplotlib - Bar Plot Width
7. Matplotlib - Bar Plot Display Values above Bars
8. Matplotlib - Bar Plot Adding Error Bars
9. Matplotlib - Stacked Bar Plots
10. Matplotlib - Bar Plot Border Width and Color
11. Matplotlib - Bar Plot with Different Colors for Each Bar
12. Matplotlib - Horizontal Bar Plots
13. Matplotlib - Adding Legend to Bar Plot

Matplotlib Stackplot

1. Matplotlib Stackplot Example
2. Matplotlib Stackplot Colors
3. Matplotlib Stackplot Transparency
4. Matplotlib Stackplot - Modify Stacking Order
5. Matplotlib Stackplot - Adding Labels to Stacks
6. Matplotlib Stackplot Line Style
7. Matplotlib Stackplot - Modify Space between Stacked Areas
8. Matplotlib - Overlaying or arranging stackplots side by side for comparisons