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• Visualizing Supabase Data using Metabase
  3 projects | dev.to | 30 Jun 2022

  Data helps organizations make better decisions. With a programming language like Python to analyze your data and transform data into visual representations, you can effortlessly tell the story of your business. One way to create customized visuals from your data would be to use data visualization libraries in Python like Matplotlib, Seaborn, Ggplot2, Plotly, or Pandas. When you want to accomplish this task with little or no code (not even SQL), you might consider using tools like Metabase.

• Plotting Bookmarks with Flask, Matplotlib, and OAuth 2.0
  4 projects | dev.to | 29 Jun 2022

  To plot the labels and values you will use Matplotlib. Once you have your graph you can save it and render in a view.

• NLTK Lexical Dispersion Plot - word offset to percentile in the x-axis
  1 project | reddit.com/r/learnpython | 2 Jun 2022

  # Natural Language Toolkit: Dispersion Plots # # Copyright (C) 2001-2022 NLTK Project # Author: Steven Bird # URL: # For license information, see LICENSE.TXT import numpy as np """ A utility for displaying lexical dispersion. """ def dispersion_plot(text, words, ignore_case=False, title="Lexical Dispersion Plot"): """ Generate a lexical dispersion plot. :param text: The source text :type text: list(str) or enum(str) :param words: The target words :type words: list of str :param ignore_case: flag to set if case should be ignored when searching text :type ignore_case: bool """ try: from matplotlib import pylab except ImportError as e: raise ValueError( "The plot function requires matplotlib to be installed." "See https://matplotlib.org/" ) from e text = list(text) words.reverse() if ignore_case: words_to_comp = list(map(str.lower, words)) text_to_comp = list(map(str.lower, text)) else: words_to_comp = words text_to_comp = text points = [ (x, y) for x in range(len(text_to_comp)) for y in range(len(words_to_comp)) if text_to_comp[x] == words_to_comp[y] ] if points: x, y = list(zip(*points)) else: x = y = () pylab.plot(x, y, "b|", scalex=0.1) pylab.yticks(list(range(len(words))), words, color="b") pylab.title(title) pylab.xlabel("Word Offset") pylab.show() if __name__ == "__main__": from nltk.corpus import gutenberg words = ["Elinor", "Marianne", "Edward", "Willoughby"] dispersion_plot(gutenberg.words("austen-sense.txt"), words

• Python in Action: Machine Learning
  5 projects | dev.to | 1 Jun 2022

  4. Matplotlib is the most popular Python library for data visualization and 2-D plotting.

• [OC] Monaco Grand Prix 2022 - Verstappen fastest lap
  2 projects | reddit.com/r/dataisbeautiful | 31 May 2022

  Dataset acquired using FastF1 API https://theoehrly.github.io/Fast-F1/ Generated using NumPy https://numpy.org/ and MatPlotLib (python) https://matplotlib.org/

• Python cheatsheet and snippets for beginners
  4 projects | dev.to | 30 May 2022

  import math #math https://docs.python.org/3/library/math.html #matplotlib https://matplotlib.org/ #numpy https://numpy.org/ #math -> Some more complicated calculations print(math.sqrt(15)) print(math.sin(math.pi/6)) print(math.cos(math.radians(60)))) #numpy more advanced math and amazing helper functions #matplotlib plotting charts import matplotlib.pyplot as plt import numpy as np plt.style.use('_mpl-gallery') # make date x = np.linspace(0, 10, 100) y = 4 + np.sin(x) # plot fig, ax = plt.subplots() ax.plot(x, y, linewidth=2.0) ax.set(xlim=(0, 8), xticks=np.arange(1, 8), ylim=(0, 8), yticks=np.arange(1, 8)) # plt.show() plt.savefig("matplotlib.png")

• ordering and making a chart
  1 project | reddit.com/r/learnpython | 23 May 2022

  Matplotlib

• Resumão de Python para iniciantes com aulas! [PT-BR]
  4 projects | dev.to | 20 May 2022
• Does pip install native dependencies?
  1 project | reddit.com/r/learnpython | 12 May 2022

  apt show python3-matplotlib Package: python3-matplotlib Version: 3.1.2-1ubuntu4 Priority: optional Section: universe/python Source: matplotlib Origin: Ubuntu Maintainer: Ubuntu Developers <[[email protected]](mailto:[email protected])> Original-Maintainer: Sandro Tosi <[[email protected]](mailto:[email protected])> Bugs: https://bugs.launchpad.net/ubuntu/+filebug Installed-Size: 13,7 MB Depends: python3-dateutil, python-matplotlib-data (>= 3.1.2-1ubuntu4), python3-pyparsing (>= 1.5.6), python3-six (>= 1.4), libjs-jquery, libjs-jquery-ui, python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, python3 (<< 3.9), python3 (>= 3.8~), python3-cycler (>= 0.10.0), python3-kiwisolver, python3:any, libc6 (>= 2.29), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 5.2) Recommends: python3-pil, python3-tk Suggests: dvipng, ffmpeg, gir1.2-gtk-3.0, ghostscript, inkscape, ipython3, librsvg2-common, python-matplotlib-doc, python3-cairocffi, python3-gi, python3-gi-cairo, python3-gobject, python3-nose, python3-pyqt5, python3-scipy, python3-sip, python3-tornado, texlive-extra-utils, texlive-latex-extra, ttf-staypuft Enhances: ipython3 Homepage: http://matplotlib.org/ Task: ubuntustudio-video Download-Size: 4.459 kB APT-Manual-Installed: no APT-Sources: http://de.archive.ubuntu.com/ubuntu focal/universe amd64 Packages Description: Python based plotting system in a style similar to Matlab (Python 3) Matplotlib is a pure Python plotting library designed to bring publication quality plotting to Python with a syntax familiar to Matlab users. All of the plotting commands in the pylab interface can be accessed either via a functional interface familiar to Matlab users or an object oriented interface familiar to Python users. . This package contains the Python 3 version of matplotlib.

• News algorithm project-Help needed
  5 projects | reddit.com/r/PythonProjects2 | 9 May 2022

  This sounds very vague to me, but Python can probably do what you are imagining. For example, for graphs of statistical relationships between data, there is https://matplotlib.org/ and https://seaborn.pydata.org/. If you want to go deeper into machine learning, there is https://scikit-learn.org/stable/index.html and https://www.tensorflow.org/ for example. Also, take a look at https://pandas.pydata.org for tabular data of different kinds.

• Plotting graphs
  2 projects | reddit.com/r/cpp_questions | 29 Apr 2022

  You better use Python with matplotlib, which is very similar to Matlab.

• Good software for creating simple graphics for thesis and presentation
  1 project | reddit.com/r/linuxquestions | 21 Apr 2022

  To plot some sensor data I use Plotly or Matplotlib

• 20 Artikel Terpopuler di Wikipedia Indonesia selama Januari - Maret 2022. Highlight isu: Kejuaraan AFF, Layangan Putus, Kukira Kau Rumah, Dorce Gamalama, perang Rusia-Ukraina, Jusuf Hamka. (Sumber: Wikimedia REST API, 8/4/2022)
  1 project | reddit.com/r/indonesia | 9 Apr 2022
• Coding for Astronomers?
  1 project | reddit.com/r/astrophysics | 23 Mar 2022

  With these, you can make data that you then feed into Python (Matplotlib) to make some nice plots.

• Bahrain Race - Relative lap times (Driver and Team box plots)
  2 projects | reddit.com/r/formula1 | 22 Mar 2022

  This was also my first attempt at using the impressive Fast-F1 data and Python Matplotlib.