Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/python/matplotlib-pyplot-stem-in-python/ below:

Matplotlib.pyplot.stem() in Python - GeeksforGeeks

Last Updated : 12 Jul, 2025

is a visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.

creates stem plots. A

plots vertical lines at each x position covered under the graph from the baseline to y, and places a marker there.

Syntax: stem([x, ] y, linefmt=None, markerfmt=None, basefmt=None) Parameters:

• x (array-like, optional): The x-positions of the stems. Default: (0, 1, ..., len(y) - 1).
• y (array-like): The y-values of the stem heads.
• linefmt (str, optional): A string defining the properties of the vertical lines. Usually, this will be a color or a color and a linestyle:
  • '-': solid line
  • '--': dashed line
  • '-.': dash-dot line
  • ':' dotted line
  Note: While it is technically possible to specify valid formats other than color or color and linestyle (e.g. 'rx' or '-.'), this is beyond the intention of the method and will most likely not result in a reasonable plot.
• markerfmt (str, optional): A string defining the properties of the markers at the stem heads. Default: 'C0o', i.e. filled circles with the first color of the color cycle.
• basefmt (str, optional): A format string defining the properties of the baseline. Default: 'C3-' ('C2-' in classic mode).
• bottom (float, optional, default: 0): The y-position of the baseline.
• label (str, optional, default: None): The label to use for the stems in legends.
• use_line_collection (bool, optional, default: False): If True, store and plot the stem lines as a LineCollection instead of individual lines. This significantly increases performance, and will become the default option in Matplotlib 3.3. If False, defaults to the old behavior of using a list of Line2D objects.

Returns :

container: StemContainer

The container may be treated like a tuple (markerline, stemlines, baseline)

Default plot Stem plots vertical lines from a baseline to the y-coordinate and places a marker at the tip.

# importing libraries
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0.1, 2 * np.pi, 41)
y = np.exp(np.sin(x))

plt.stem(x, y, use_line_collection = True)
plt.show()

The position of the baseline can be adapted using

. The parameters

, and

control basic format properties of the plot. However, in contrast to

not all properties are configurable via keyword arguments. For more advanced control adapt the line objects returned by

.

# importing libraries
import random
import matplotlib.pyplot as plt

x = np.linspace(0.1, 2 * np.pi, 41)
y = np.exp(np.sin(x))

markerline, stemlines, baseline = plt.stem(
    x, y, linefmt ='grey', markerfmt ='D',
    bottom = 1.1, use_line_collection = True)

markerline.set_markerfacecolor('none')
plt.show()

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4