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Matplotlib
matplotlib.org โ€บ stable โ€บ api โ€บ _as_gen โ€บ matplotlib.pyplot.stem.html
matplotlib.pyplot.stem โ€” Matplotlib 3.11.2 documentation
A stem plot draws lines perpendicular to a baseline at each location locs from the baseline to heads, and places a marker there. For vertical stem plots (the default), the locs are x positions, and the heads are y values.
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GeeksforGeeks
geeksforgeeks.org โ€บ python โ€บ matplotlib-pyplot-stem-in-python
Matplotlib.pyplot.stem() in Python - GeeksforGeeks
July 12, 2025 - The container may be treated like a tuple (markerline, stemlines, baseline) Example #1: Default plot Stem plots vertical lines from a baseline to the y-coordinate and places a marker at the tip.
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Matplotlib
matplotlib.org โ€บ stable โ€บ gallery โ€บ lines_bars_and_markers โ€บ stem_plot.html
Stem plot โ€” Matplotlib 3.11.2 documentation
markerline, stemlines, baseline = plt.stem( x, y, linefmt='grey', markerfmt='D', bottom=1.1) markerline.set_markerfacecolor('none') plt.show()
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Matplotlib
matplotlib.org โ€บ 3.1.1 โ€บ api โ€บ _as_gen โ€บ matplotlib.pyplot.stem.html
matplotlib.pyplot.stem โ€” Matplotlib 3.1.2 documentation
matplotlib.pyplot.stem(*args, linefmt=None, markerfmt=None, basefmt=None, bottom=0, label=None, use_line_collection=False, data=None)[source]ยถ
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TutorialsPoint
tutorialspoint.com โ€บ matplotlib โ€บ matplotlib_stem_plots.htm
Matplotlib - Stem Plots
Instead of connecting these points ... to the value of the data point. The following example creates a sinusoidal stem plot in Matplotlib using the stem() function....
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Matplotlib
matplotlib.org โ€บ stable โ€บ plot_types โ€บ basic โ€บ stem.html
stem(x, y) โ€” Matplotlib 3.11.2 documentation
Go to the end to download the full example code. Create a stem plot. See stem. import matplotlib.pyplot as plt import numpy as np plt.style.use('_mpl-gallery') # make data x = 0.5 + np.arange(8) y = [4.8, 5.5, 3.5, 4.6, 6.5, 6.6, 2.6, 3.0] # plot fig, ax = plt.subplots() ax.stem(x, y) ax.set(xlim=(0, 8), xticks=np.arange(1, 8), ylim=(0, 8), yticks=np.arange(1, 8)) plt.show() Download Jupyter notebook: stem.ipynb ยท Download Python source code: stem.py ยท
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Python Programming
pythonprogramming.net โ€บ stemming-nltk-tutorial
Python Programming Tutorials
from nltk.stem import PorterStemmer from nltk.tokenize import sent_tokenize, word_tokenize ps = PorterStemmer()
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Pythontic
pythontic.com โ€บ visualization โ€บ charts โ€บ stem plot
Stem plot using Python and Matplotlib | Pythontic.com
A stem plot separates the digits in data points to form two columns. Python Matplotlib draws a stem plot as a set of Y values plotted against common X-axis values.
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DataCamp
datacamp.com โ€บ tutorial โ€บ stemming-lemmatization-python
Stemming and Lemmatization in Python | DataCamp
June 1, 2026 - This is a pretty simple example; we expected these results from our porter stemmer as mentioned in the โ€œStemmingโ€ section above. ... import string from nltk.tokenize import word_tokenize example_sentence = "Python programmers often tend like programming in python because it's like english.
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Readthedocs
pyrolite.readthedocs.io โ€บ en โ€บ develop โ€บ examples โ€บ plotting โ€บ stem.html
Stem Plots โ€” pyrolite 0.3.8.dev8+g424552e92 documentation
ax = df.pyroplot.stem( orientation="vertical", s=12, linestyle="--", linewidth=0.5, color="k", figsize=(3, 5), ) # the yaxes can then be inverted using: ax.invert_yaxis() # and if you'd like the xaxis to be labeled at the top: ax.xaxis.set_ticks_position("top") ax.xaxis.set_label_position("top")
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PYTHON CHARTS
python-charts.com โ€บ home โ€บ ranking โ€บ stem plot (lollipop chart) in matplotlib
Stem plot (lollipop chart) in matplotlib | PYTHON CHARTS
August 20, 2022 - In the following example we are setting a dotted black line. import matplotlib.pyplot as plt import numpy as np # Data x = np.arange(2, 12, 1) y = x ** 2 # Stem plot fig, ax = plt.subplots() ax.stem(x, y, basefmt = 'k:') # plt.show() Finally, ...
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Spot Intelligence
spotintelligence.com โ€บ home โ€บ top 3 ways to implement stemming in python with advantages, disadvantages, different algorithms & alternatives
Top 3 Ways To Implement Stemming In Python With Advantages, Disadvantages, Different Algorithms & Alternatives
October 23, 2023 - In this example, the PorterStemmer is first imported from the nltk.stem module. Then, an instance of the PorterStemmer class is created. Next, a list of words is defined. Finally, the stem method is called on each word in the list, and the resulting list of stemmed words is printed. See also Mixture-of-Experts (MoE) in NLP: Scaling Without Exploding Costs ยท In the spaCy library for Python, stemming is performed using the lemma_ attribute of a token.
Top answer
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from stemming.porter2 import stem

documents = ["Human machine interface for lab abc computer applications",
             "A survey of user opinion of computer system response time",
             "The EPS user interface management system",
             "System and human system engineering testing of EPS",
             "Relation of user perceived response time to error measurement",
             "The generation of random binary unordered trees",
             "The intersection graph of paths in trees",
             "Graph minors IV Widths of trees and well quasi ordering",
             "Graph minors A survey"]

documents = [[stem(word) for word in sentence.split(" ")] for sentence in documents]

What we are doing here is using a list comprehension to loop through each string inside the main list, splitting that into a list of words. Then we loop through that list, stemming each word as we go, returning the new list of stemmed words.

Please note I haven't tried this with stemming installed - I have taken that from the comments, and have never used it myself. This is, however, the basic concept for splitting the list into words. Note that this will produce a list of lists of words, keeping the original separation.

If do not want this separation, you can do:

documents = [stem(word) for sentence in documents for word in sentence.split(" ")]

Instead, which will leave you with one continuous list.

If you wish to join the words back together at the end, you can do:

documents = [" ".join(sentence) for sentence in documents]

or to do it in one line:

documents = [" ".join([stem(word) for word in sentence.split(" ")]) for sentence in documents]

Where keeping the sentence structure, or

documents = " ".join(documents)

Where ignoring it.

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You might want to have a look at the NLTK (Natural Language ToolKit). It has a module nltk.stem which contains various different stemmers.

See also this question.

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Matplotlib
matplotlib.org โ€บ 3.3.3 โ€บ api โ€บ _as_gen โ€บ matplotlib.pyplot.stem.html
matplotlib.pyplot.stem โ€” Matplotlib 3.3.3 documentation
matplotlib.pyplot.stem(*args, linefmt=None, markerfmt=None, basefmt=None, bottom=0, label=None, use_line_collection=True, data=None)[source]ยถ
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PyPI
pypi.org โ€บ project โ€บ stem
stem
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Statology
statology.org โ€บ home โ€บ how to create a stem-and-leaf plot in python
How to Create a Stem-and-Leaf Plot in Python
August 13, 2020 - The numbers in the far left display the aggregated count of values in the plot. For example, the first row contains 2 aggregated values, the second row contains 3 aggregated values, the third row contains 5 aggregated values, and so on.