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Python 2022-02-18 07:30:05
multiclass classification model
knn=KNeighborsClassifier() svc=SVC() lr=LogisticRegression() dt=DecisionTreeClassifier() gnb=GaussianNB() rfc=RandomForestClassifier() xgb=XGBClassifier() gbc=GradientBoostingClassifier() ada=AdaBoostClassifier() ------------------------------------------... Add solution -
Python 2022-01-24 01:55:39
xaxis matplotlib
import matplotlib.pyplot as plt x = [0.00001,0.001,0.01,0.1,0.5,1,5] # create an index for each tick position xi = list(range(len(x))) y = [0.945,0.885,0.893,0.9,0.996,1.25,1.19] plt.ylim(0.8,1.4) # plot the index for the x-values plt.plot(xi, y, marker='... Add solution -
Python 2021-11-22 02:21:07
how to plot a bar using matplotlib
import matplotlib.pyplot as plt # creating the dataset data = {'C':20, 'C++':15, 'Java':30, 'Python':35} courses = list(data.keys()) values = list(data.values()) fig = plt.figure(figsize = (5, 5)) # creating the bar plot p... Add solution -
Python 2021-11-21 03:29:22
arduino python matplotlib line
import serial # import Serial Library import numpy # Import numpy import matplotlib.pyplot as plt #import matplotlib library from drawnow import * tempF= [] pressure=[] arduinoData = serial.Serial('com11', 115200) #Creating our serial ob... Add solution -
Python 2021-11-20 09:17:57
central limit theorem python example
import numpy as npimport matplotlib.pyplot as pltdef repeat_sample_draws_exponential(n, samp_size, mu, show_all=False): means = [] samples = [] for ii in range(0, n): samples.append(np.random.exponential(mu, samp_size)) means.append... Add solution -
Python 2021-11-16 21:48:21
python bubble plot
import matplotlib.pyplot as plt # scatter plot with scatter() function # bubble size with "s" # df dataframe contain columns X, Y, Z variables values plt.scatter('X', 'Y', s='Z', data=df) plt.xlabel("X", size=16) plt.ylabel("y&quo... Add solution