Bottom Page

• 0 Vote(s) - 0 Average
• 1
• 2
• 3
• 4
• 5
 How to arrange the four pictures of a matplotlib.pyplot? vokoyo Silly Frenchman Posts: 27 Threads: 16 Joined: Apr 2018 Reputation: 0 Likes received: 0 #1 Apr-04-2019, 10:58 PM (This post was last modified: Apr-04-2019, 10:58 PM by vokoyo. Edited 2 times in total. Edit Reason: Title, Formatting ) May I know how to modify my Python programming so that can arrange the pictures - ``` from sklearn import datasets #load data iris=datasets.load_iris() X=iris.data[:,[2,3]] y=iris.target from sklearn.model_selection import train_test_split X_train, X_test,y_train, y_test=train_test_split(X,y,test_size=0.3, random_state=1) #feature scaling from sklearn.preprocessing import StandardScaler sc=StandardScaler() sc.fit(X_train) X_train_std=sc.transform(X_train) X_test_std=sc.transform(X_test) # set outlier X_train_std[0]=(1,-1) #define plot_decision_regions from matplotlib.colors import ListedColormap import matplotlib.pyplot as plt import numpy as np def plot_decision_regions(X, y, classifier,test_idx = None, resolution=0.02): markers = ('s','x','o','^','v') colors = ('red','blue','lightgreen','gray','cyan') cmap = ListedColormap(colors[: len(np.unique(y))]) x1_min, x1_max = X[:,0].min() -1, X[:,0].max()+1 x2_min, x2_max = X[:,1].min() -1, X[:,1].max()+1 xx1, xx2 = np.meshgrid(np.arange(x1_min,x1_max,resolution), np.arange(x2_min,x2_max,resolution)) Z = classifier.predict(np.array([xx1.ravel(), xx2.ravel()]).T) Z = Z.reshape(xx1.shape) plt.contourf(xx1, xx2, Z, alpha=0.4, cmap=cmap) plt.xlim(xx1.min(), xx1.max()) plt.ylim(xx2.min(), xx2.max()) print(np.unique(y)) for idx, cl in enumerate(np.unique(y)): plt.scatter(x=X[y==cl, 0], y=X[y==cl, 1], alpha=0.8, c=cmap(idx), marker = markers[idx],label = cl,edgecolor='black') #SVM from sklearn.svm import SVC C=[] X_combined_std = np.vstack((X_train_std, X_test_std)) y_combined = np.hstack((y_train, y_test)) #draw figure fig=plt.subplots(nrows=2, ncols=2,figsize=(10,5)) for c in np.arange(-1,3): svm=SVC(kernel='linear',C=10.**c, random_state=0) svm.fit(X_train_std,y_train) plot_decision_regions(X_combined_std,y_combined,classifier=svm, test_idx=range(105, 150)) plt.xlabel('petal lengh[standardized]') plt.ylabel('petal width[standardized]') plt.title('C='+str(10.**c)) plt.legend(loc='upper left') plt.tight_layout() plt.show() ``` Please see the attached image picture - I get the answer but not sure how to put together the four pictures « Next Oldest | Next Newest »

Top Page

 Possibly Related Threads... Thread Author Replies Views Last Post zooming in pyplot window SchroedingersLion 0 479 Aug-02-2019, 02:59 PM Last Post: SchroedingersLion How to draw rectangles in pyplot? SuchtyTV 4 2,124 Jul-14-2019, 02:41 PM Last Post: SuchtyTV [pandas] How to re-arrange DataFrame columns SriMekala 8 1,189 Jun-22-2019, 12:55 AM Last Post: scidam while creating a array using numpy.arrange, how to negate only the last 50 numbers? vicky53 1 546 Apr-06-2019, 11:52 AM Last Post: scidam matplotlib pyplot ginput issue MLiljeroth 0 1,001 Oct-12-2018, 07:12 AM Last Post: MLiljeroth Help to arrange correct input array structure mogensen24 1 633 Oct-05-2018, 06:09 PM Last Post: j.crater Problem with Matplotlib.pyplot LTMP 1 673 Aug-21-2018, 04:50 AM Last Post: ichabod801 [split] np.arrange error - no attribute gyan 2 1,982 Aug-19-2018, 05:38 PM Last Post: micseydel np.arrange error - no attribute pksherard 3 8,870 Aug-16-2017, 09:54 PM Last Post: nilamo

Forum Jump:

Users browsing this thread: 1 Guest(s)