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menu_book Course Curriculum (Matplotlib) expand_more

Figure Basics

Create figure and axes Line plot Scatter plot Bar chart Horizontal bar chart Histogram Pie chart Stem plot

Axes & Labels

Plot title Axis labels Axis limits Tick locations Tick labels Grid lines Legend Multiple series

Styling

Line style Marker style Alpha transparency Color map Annotation Text placement Spines Style context

Layouts

Two subplots GridSpec layout Shared x axis Shared y axis tight_layout constrained layout Inset axes Twin y axis

Statistical Plots

Box plot Violin plot Error bars Stack plot Step plot Hexbin plot ECDF plot 2D histogram

Images & Geometry

imshow Colorbar Aspect ratio Rectangle patch Circle patch Polygon patch Fill between axvspan region

Scales & Dates

Log scale Symlog scale Date plot Date formatter Secondary axis Categorical axis Scientific notation Custom formatter

Output & Interaction

Save PNG Save SVG Transparent export High DPI export Animation FuncAnimation Mouse click event Pick event Close figure

Matplotlib / Styling

Style context

Learn Style context in Matplotlib with a dedicated explanation, a topic-specific example, edge guidance, and a mastery check.

12 min read • Intermediate

matplotlib-024.py

python

import matplotlib.pyplot as plt
import numpy as np
with plt.style.context("ggplot"):
    fig,ax=plt.subplots(); ax.plot([1,2,3],[2,5,4]); plt.show()

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

Style context Mastery Check →