Python Forum
How to arrange the four pictures of a matplotlib.pyplot?
Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
How to arrange the four pictures of a matplotlib.pyplot?
#1


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






Reply


Possibly Related Threads…
Thread Author Replies Views Last Post
  matplotlib.pyplot issue lonaveia 2 2,312 Jul-28-2020, 02:40 PM
Last Post: hussainmujtaba
  matplotlib.pyplot functions create new figures instead of applying to the current one karkas 2 2,043 Jul-09-2020, 08:32 AM
Last Post: karkas
  How does pyplot know what was plotted by the output of pandas.DataFrame(...).cumprod( codeowl 2 2,163 Mar-28-2020, 08:27 AM
Last Post: j.crater
  zooming in pyplot window SchroedingersLion 0 2,170 Aug-02-2019, 02:59 PM
Last Post: SchroedingersLion
  How to draw rectangles in pyplot? SuchtyTV 4 6,369 Jul-14-2019, 02:41 PM
Last Post: SuchtyTV
  [pandas] How to re-arrange DataFrame columns SriMekala 8 4,849 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 2,645 Apr-06-2019, 11:52 AM
Last Post: scidam
  matplotlib pyplot ginput issue MLiljeroth 0 3,514 Oct-12-2018, 07:12 AM
Last Post: MLiljeroth
  Help to arrange correct input array structure mogensen24 1 2,355 Oct-05-2018, 06:09 PM
Last Post: j.crater
  Problem with Matplotlib.pyplot LTMP 1 2,805 Aug-21-2018, 04:50 AM
Last Post: ichabod801

Forum Jump:

User Panel Messages

Announcements
Announcement #1 8/1/2020
Announcement #2 8/2/2020
Announcement #3 8/6/2020