Master programming syntax, solve interactive challenges & run live code in Syntaxis Explore Arena →

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 / Scales & Dates

Custom formatter

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

12 min read • Advanced

matplotlib-056.py

python

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FuncFormatter
fig,ax=plt.subplots(); ax.plot([1,2,3],[1200,2500,4200]); ax.yaxis.set_major_formatter(FuncFormatter(lambda v,pos:f"${v:,.0f}")); plt.show()

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

Custom formatter Mastery Check →

Scientific notation