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Python 2021-09-03 08:22:02
how to use visualize_runtimes
import threading import multiprocessing import math import numpy as np import time import matplotlib.pyplot as plt import glob from PIL import Image import random from random import sample import string from concurrent.futures import ThreadPoolExecutor ... Add solution -
Go 2021-08-30 19:28:01
matplotlib logo image on a plot
import matplotlib.image as image import matplotlib.pyplot as plt im = image.imread('debian-swirl.png') fig, ax = plt.subplots() ax.imshow(im, aspect='auto', extent=(0.4, 0.6, .5, .7), zorder=-1) ax.yaxis.tick_left() ax.tick_params(axis='y', colors='black... Add solution -
C 2021-08-28 10:37:02
plt circle
import matplotlib.pyplot as plt circle1 = plt.Circle((0, 0), 0.2, color='r') circle2 = plt.Circle((0.5, 0.5), 0.2, color='blue') circle3 = plt.Circle((1, 1), 0.2, color='g', clip_on=False) fig, ax = plt.subplots() # note we must use plt.subplots, not pl... Add solution -
Python 2021-08-27 15:24:02
python matplotlib two y axis
import numpy as np import matplotlib.pyplot as plt # Create some mock data t = np.arange(0.01, 10.0, 0.01) data1 = np.exp(t) data2 = np.sin(2 * np.pi * t) fig, ax1 = plt.subplots() color = 'tab:red' ax1.set_xlabel('time (s)') ax1.set_ylabel('exp', colo... Add solution -
Python 2021-08-27 14:03:01
plot normal distribution python
import matplotlib.pyplot as plt import numpy as np import scipy.stats as stats import math mu = 0 variance = 1 sigma = math.sqrt(variance) x = np.linspace(mu - 3 * sigma, mu + 3 * sigma, 100) plt.plot(x, stats.norm.pdf(x, mu, sigma)) plt.show() Add solution -
Python 2021-08-27 10:11:02
set title matplotlib
import matplotlib.pyplot as plt plt.title('TITLE') Add solution -
Python 2021-08-27 09:11:02
matplotlib show percentage y axis
import matplotlib.pyplot as plt import numpy as np import matplotlib.ticker as mtick data = [8,12,15,17,18,18.5] perc = np.linspace(0,100,len(data)) fig = plt.figure(1, (7,4)) ax = fig.add_subplot(1,1,1) ax.plot(perc, data) fmt = '%.0f%%' # Format you... Add solution