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- numpy_simple
- portation ===== * standard : <code>import numpy as np</code> ===== Tableaux numériques ===== On con... numpy. Essayez ceci : <code python> import numpy as np a = np.array([[1,2],[3,4]]) print(a) print(a.d... pour créer des tableaux "array" """ import numpy as np a = np.array(((1,2),(3,4))) # on peut créer... r manipuler des tableaux "array" """ import numpy as np a = np.array([[1,2],[3,4]]) b = np.array([[1,
- fit_modele_einstein
- rg/wiki/Mod%C3%A8le_d%27Einstein """ import numpy as np import scipy as sp from scipy.optimize import leastsq import matplotlib.pyplot as plt def cvEinstein(Tr): # fonction à fitter ... ia.org/wiki/Mod%C3%A8le_de_Debye """ import numpy as np import scipy as sp from scipy.optimize import
- matplotlib_simple
- ation ==== * standard : <code>import matplotlib as mpl import matplotlib.pyplot as plt</code> * alternative, simplifiée (en mode pylab, pour obtenir u... e séries de données """ import matplotlib.pyplot as plt #directive d'importation standard plt.figu... valeurs min et max """ import matplotlib.pyplot as plt #directive d'importation standard plt.figu
- pandas
- thor: Didier Villers """ import matplotlib.pyplot as plt import numpy as np import pandas as pd # using this VARIABLE DESCRIPTIONS with PEP 8 Python style : names = [ 'B... odes (à combiner...) <code python> import pandas as pd from scipy import stats </code> Références :
- ph-3d
- graphic surface generation in the same conditions as the following paper : 3-D Surface Visualization o... illers.umons.ac.be/blog/contact/ """ import numpy as np import numpy.polynomial.polynomial as poly import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import * # Axes3D from matplotlib imp
- ph_acides_bases_2013
- de QD et TB, ba2 chimie 2012-2013 import Tkinter as tk from numpy import * import matplotlib.pyplot as plt def get_acide(event): """ fonction po... de QD et TB, ba2 chimie 2012-2013 import Tkinter as tk from numpy import * import matplotlib.pyplot as plt def get_base(event): """ fonction pou
- plot_sinus_cosinus
- lib/matplotlib.html """ import matplotlib.pyplot as plt # directive d'importation standard de Matplotlib import numpy as np # directive d'importation standa... tlib/matplotlib.html """ import matplotlib.pyplot as plt # directive d'importation standard de Matplotlib import numpy as np # directive d'importation standa
- tkinter_gui_simple
- étiquette dynamique par récursion import tkinter as tk def compteur_label(lab): def compte(): ... e d'utilisation des boutons radio import tkinter as tk def affiche_choix(): i = v.get() prin... d'utilisation des cases à cocher import tkinter as tk def affiche_choix(): print(zip(elements, ... -4.2.03-quantize-only-CCC.png """ import tkinter as tk root = tk.Tk() img = tk.PhotoImage(file = "ma
- algos_entiers
- Unless b==0, the result will have the same sign as b (so that when b is divided by it, the resul... returns a dict containing the prime factors of n as keys and their respective multiplicities as values." For example: <code python> from sympy.ntheory im
- maxwell-boltzmann
- stribution_of_speeds """ import matplotlib.pyplot as plt from math import pi,exp # importation des fo... stribution_of_speeds """ import matplotlib.pyplot as plt import numpy as np # utilisation des tableaux numpy, cf. http://docs.scipy.org/doc/ #les foncti
- plotly_simple
- sdatascience.com/4-reasons-why-im-choosing-plotly-as-the-main-visualization-library-dc4a961a402f]] *... ]] * [[https://towardsdev.com/how-to-use-plotly-as-pandas-plotting-backend-123ff5378003|How to use Plotly as Pandas Plotting Backend - Make interactive plots
- rdkit
- * [[https://ctr.fandom.com/wiki/Depict_a_compound_as_an_image#RDKit.2FPython|Depict a compound as an image | Chemistry Toolkit Rosetta Wiki | Fandom]] *... from http://ctr.wikia.com/wiki/Depict_a_compound_as_an_image from rdkit.Chem import AllChem from rdki
- ir_spectrum_co @teaching:progappchim:matplotlib_gallery
- nécessaire "comma separated values" import numpy as np import matplotlib.pyplot as plt with open("rotvibco.csv", "rb") as csvfile: reader = csv.reader(csvfile, delimiter=';')
- analyse_images
- 89#14472089 import PIL import Image import numpy as np import matplotlib.pyplot as plt dirfile="" #filename="x10001-512.tif" filename="ech14x50001-512.j
- csv
- fichier d'entrée with open("Classeur1.csv", "rb") as ifile: reader = csv.reader(ifile, delimiter='... ier de sortie with open("Classeur-out.csv","wb") as ofile: writer = csv.writer(ofile, delimiter='