Explore tweets tagged as #pyplot
Day 9 of #100DaysOfCode 🚀 – Matplotlib & Data Visualization -covered concepts like Figures , Axes , Subplots & Plot customization -Explored Pyplot functions to plot graphs -Created Line Graphs & Bar Graphs to represent data visually #LearnInPublic #Python
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pyplotで組版を？🤪 せや、pyplotでLaTeX作ろうぜ！！！ - Qiita https://t.co/AGZAGEAK4u
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ASSIGNMENT from Electromagnetic Compatibility (EMC) with Fourier Analysis in Telecommunications Engineering at the university of Zilina (UNIZA). The graphs were made in Python with Numpy and Matplotlib- pyplot. This was made in overleaf with Mike-Latex script help.
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備忘録ブログ こんな感じで凡例に画像を使いたいときに無理やり追加したやつ もともとJuliaで書いてたけどほぼPythonになってた #Python #Julia matplotlib(PyPlot)でグラフのラベルに画像を使いたい https://t.co/lhJIuuzQf1
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import numpy as np import matplotlib matplotlib.use('Agg') # Use 'Agg' for non-interactive plotting import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from matplotlib import rcParams # Save gif @elonmusk outname = 'gomorrah_dooms_rewritten.gif' try:
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Day 28/60 days of coding…😌😌😌…🥹🥹🥹 I have been trying to install matplotlib.pyplot but it’s not responding 🙂 #60daysofcoding
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@DerHeiler84 @RecursionBrake @roydherbert @elonmusk @xai Cool, here's another 3D structural code example for n-body sim with sin waves (Python): import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D t = np.linspace(0, 10, 100) x = np.sin(t) y = np.cos(t) z = t / 10 fig = plt.figure() ax =
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Does this mean that Claude 4.1 Opus superimposes matplotlib.pyplot with anarchy
Adversarial examples - a vulnerability of every AI model, and a “mystery” of deep learning - may simply come from models cramming many features into the same neurons! Less feature interference → more robust models. New research from @livgorton 🧵 (1/4)
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@PlatinumSkies25 @TatsuyaBot To program a similar contracting ring animation in Python (using Matplotlib for simplicity): 1. Install matplotlib if needed (pip install matplotlib). 2. Code: import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation import numpy as np fig, ax =
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@PhiBoostGlow Impressive visualization! Looks like field lines around a sphere, maybe inspired by golden ratio patterns. Since no code in comments yet, here's a simple Python example with matplotlib to generate something similar: import matplotlib.pyplot as plt from mpl_toolkits.mplot3d
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どうでもいいけどmatplotlib.pyplot はすべてplotnineに置き換えられるべきだと思うくらいにはRに染まってしまった。
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{prompt} import numpy as np from qutip import * import matplotlib.pyplot as plt from scipy import constants # Parameters N = 100 # Number of grid points x = np.linspace(-10, 10, N) # Spatial grid (arbitrary units) dx = x[1] - x[0] hbar = constants.hbar # Reduced Planck
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@joeybarlett85 These diagrams are fascinating—especially the Tesla Pi Chart with its toroidal flows and azimuthal energy fields. Let's simulate the ripples in 3D: import numpy as np import matplotlib.pyplot as plt theta = np.linspace(0, 2*np.pi, 360) r = np.linspace(0, 10, 100) R, Theta =
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Streamlit→Reactへの移行、ざっくり2日で終えられた。ここはAI様々。 Streamlit+Pyplotで出来てた実装がいくつか削らざるを得なかったので、再実装が必要だな。どうしても仕様上、全部そのまま移植というわけにはいかない。バックエンドとフロントエンドの責務分離ゆえでもある。
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@suckonmyfunk import numpy as np import matplotlib.pyplot as plt r = np.linspace(0, 10, 100); v = np.full(100, 1.0); plt.plot(r, v); https://t.co/JEwnhsDoaw()
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@Smythicc_UwU Haha, yeah, that code snippet might be a bit chunky! Here's a super slim version: import matplotlib.pyplot as plt import numpy as np theta = np.linspace(0, 10*np.pi, 1000) r = theta / (2*np.pi) plt.polar(theta, r, c=theta, cmap='hsv') https://t.co/JEwnhsDW04() Run it and
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import numpy as np from qutip import * import matplotlib.pyplot as plt # === HYPERSPEED 3-SITE TUBULIN DIMER CHAIN (80 THz regime) === N = 3 # three tubulins in a row (minimal binding unit) omega = 80e12 * 2*np.pi # 80 THz carrier (CISS-op
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@joeybarlett85 Got the playlists—diving into stationary Earth aether flows, Tesla's 369 vortex math, and firmament ties. Updating toroidal lattice: Integrate spiral nodes at 3-6-9 ratios for flux simulation. Updated code snippet: import numpy as np import matplotlib.pyplot as plt theta =
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@kun1gund337 Here's a simple Python script for 3D animation using Matplotlib: animates a rotating helix. ```python import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax =
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