Open links in new tab
  1. Matplotlib graph types
    Scatter plot
    Scatter plot
    Relationship visualization
    Correlogram
    Correlogram
    Correlation matrix
    Area chart
    Area chart
    Trend emphasis
    Box plot
    Box plot
    Statistical overview
    Violin plot
    Violin plot
    Distribution shape
    Population pyramid
    Population pyramid
    Group distribution
    Pie chart
    Pie chart
    Group composition
    Bar chart
    Bar chart
    Classic visualization
    Parallel coordinates
    Parallel coordinates
    Feature segregation
    Bubble plot
    Emphasized grouping
    Jittering with stripplot
    Point overlap avoidance
    Counts Plot
    Data concentration display
    Marginal Histogram
    Univariate distribution
    Marginal Boxplot
    Statistical summary
    Pairwise Plot
    Bivariate analysis tool
    Diverging Bars
    Variance visualization
    Diverging Texts
    Value presentation
    Diverging Dot Plot
    Minimalist design
    Diverging Lollipop Chart
    Flexible emphasis
    Ordered Bar Chart
    Rank order conveyance
    Lollipop Chart
    Visual appeal
    Dot Plot
    Rank order visualization
    Slope Chart
    Before and after comparison
    Dumbbell Plot
    Effect visualization
    Histogram for Continuous Variable
    Frequency distribution
    Histogram for Categorical Variable
    Categorical frequency
    Density Plot
    Continuous distribution
    Density Curves with Histogram
    Combined insights
    Joy Plot
    Overlapping densities
    Distributed Dot Plot
    Concentration visualization
    Dot + Box Plot
    Enhanced distribution view
    Waffle Chart
    Composition representation
    Treemap
    Hierarchical visualization
    Time Series Plot
    Temporal analysis
    Time Series with Peaks and Troughs Annotated
    Event annotation
    Autocorrelation Plot
    Lag correlation
    Cross Correlation Plot
    Two series comparison
    Time Series Decomposition Plot
    Component breakdown
    Multiple Time Series
    Comparative analysis
    Secondary Y Axis
    Dual axis display
    Time Series with Error Bands
    Confidence intervals
    Stacked Area Chart
    Contribution visualization
    Area Chart Unstacked
    Progress visualization
    Calendar Heat Map
    Time-based data
    Seasonal Plot
    Seasonal comparison
    Dendrogram
    Hierarchical clustering
    Cluster Plot
    Point demarcation
    Andrews Curve
    Feature grouping
  1. 123

    Matplotlib offers a wide range of plot types to visualize data effectively, each suited for different kinds of datasets and analysis needs. Below are some of the most commonly used categories and examples.

    1. Line Plot – Displays data points connected by straight lines, ideal for showing trends over time.

    import matplotlib.pyplot as plt
    x = [1, 2, 3, 4]
    y = [2, 4, 6, 8]
    plt.plot(x, y)
    plt.title("Line Plot")
    plt.show()
    Copied!

    2. Bar Plot – Represents categorical data with rectangular bars.

    plt.bar(['A', 'B', 'C'], [5, 7, 3])
    plt.title("Bar Plot")
    plt.show()
    Copied!

    3. Scatter Plot – Shows relationships between two variables using points.

    plt.scatter([1, 2, 3], [4, 5, 6])
    plt.title("Scatter Plot")
    plt.show()
    Copied!

    4. Pie Chart – Displays proportions as slices of a circle.

    plt.pie([30, 40, 30], labels=['A', 'B', 'C'], autopct='%1.1f%%')
    plt.title("Pie Chart")
    plt.show()
    Copied!

    5. Histogram – Shows the distribution of data by grouping into bins.

    plt.hist([1,2,2,3,3,3,4,4,4,4], bins=4, color='skyblue')
    plt.title("Histogram")
    plt.show()
    Copied!
    Feedback
  2. W3Schools
    https://www.w3schools.in › matplotlib › tutorials › plot-types

    Python Matplotlib Plot Types - W3Schools

      • Line Plot. Line plots are drawn by joining straight lines connecting data points where the x-axis and …
      • Bar Plot. The bar plots are vertical/horizontal rectangular graphs that show data comparison where …
      • Scatter Plot. We can implement the scatter (previously called XY) plots while comparing various …
      • Pie Plot. A pie plot is a circular graph where the data get represented within that …
      • Area Plot. The area plots spread across certain areas with bumps and drops (highs and lows) and …
      See full list on w3schools.in
  3. GeeksForGeeks
    https://www.geeksforgeeks.org › ... › data-visualization-using-matplotlib

    Data Visualization using Matplotlib in Python - GeeksforGeeks

    • See More

    Mar 30, 2026 · Matplotlib is a used Python library used for creating static, animated and interactive data visualizations. It is built on the top of NumPy and it can easily handles large datasets for creating …

  4. coderivers.org
    https://coderivers.org › matplotlib › matplotlib-chart-types

    Mastering Matplotlib Chart Types: A Comprehensive Guide

    Understanding different Matplotlib chart types is crucial for data analysts, scientists, and anyone who needs to communicate data insights visually. This blog aims to provide a detailed exploration of …

  5. Dataquest
    https://www.dataquest.io › cheat-sheet › matplotlib-cheat-sheet

    Matplotlib Cheat Sheet – Dataquest

    It covers fundamental plot types—from line and scatter plots to histograms and bar charts—and includes advanced customization options like subplots, color mapping, and annotations.

  6. Medium
    https://medium.com › @ebimsv

    Matplotlib: Part 3. Exploring Different Plot Types - Medium

    Aug 13, 2024 · In this third part of the “ Matplotlib ” series, we explored a variety of plot types, including bar plots, histograms, scatter plots, pie charts, and box plots.

  7. Matplotlib
    https://matplotlib.org › stable › gallery

    Examples — Matplotlib 3.10.8 documentation

    Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather …

  8. datasciencebase.com
    https://www.datasciencebase.com › ... › matplotlib › advan…

    Advanced Plot Types in Matplotlib | DataScienceBase

    Explore advanced plot types in Matplotlib, including heatmaps, 3D plots, and contour plots, to create more complex and informative visualizations.

  9. moldstud.com
    https://moldstud.com › articles › p-matplotlib-for-beginner…

    Matplotlib Guide for Beginners Plot Types and Uses

    Jun 14, 2025 · Explore the fundamentals of Matplotlib with this beginner's guide, covering various plot types and their practical applications in data visualization.

  10. DataCamp
    https://www.datacamp.com › tutorial › types-of-data-plots-…

    Types of Data Plots and How to Create Them in Python

    Oct 6, 2023 · Explore various types of data plots, what they show, when to use them, when to avoid them, and how to create and customize them in Python.

Content was generated with AI. Learn more