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import numpy as np
x = np.linspace(0, 10, 100)
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y = np.sin(x)
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import matplotlib as mpl
import matplotlib.pyplot as plt
plt.plot(x, y)
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plt.show()
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siny = y.copy()
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cosy = np.cos(x)
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plt.plot(x, siny)
plt.plot(x, cosy)
plt.show()
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plt.plot(x, siny)
plt.plot(x, cosy, color="red")
plt.show()
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plt.plot(x, siny)
plt.plot(x, cosy, color="red", linestyle="--")
plt.show()
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plt.plot(x, siny)
plt.plot(x, cosy, color="red", linestyle="--")
plt.xlim(-5, 15)
plt.ylim(0, 1)
plt.show()
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plt.plot(x, siny)
plt.plot(x, cosy, color="red", linestyle="--")
plt.axis([-1, 11, -2, 2])
plt.show()
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plt.plot(x, siny)
plt.plot(x, cosy, color="red", linestyle="--")
plt.xlabel("x axis")
plt.ylabel("y value")
plt.show()
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plt.plot(x, siny, label="sin(x)")
plt.plot(x, cosy, color="red", linestyle="--", label="cos(x)")
plt.xlabel("x axis")
plt.ylabel("y value")
plt.legend()
plt.show()
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plt.plot(x, siny, label="sin(x)")
plt.plot(x, cosy, color="red", linestyle="--", label="cos(x)")
plt.xlabel("x axis")
plt.ylabel("y value")
plt.legend()
plt.title("Welcome to matplotlib world!")
plt.show()
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plt.scatter(x, siny)
plt.show()
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plt.scatter(x, siny)
plt.scatter(x, cosy, color="red")
plt.show()
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x = np.random.normal(0, 1, 10000)
y = np.random.normal(0, 1, 10000)
plt.scatter(x, y, alpha=0.1)
plt.show()
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import numpy as np
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import matplotlib as mpl
import matplotlib.pyplot as plt
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from sklearn import datasets
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iris = datasets.load_iris()
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iris.keys()
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print(iris.DESCR)
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iris.data
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iris.data.shape
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iris.feature_names
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iris.target
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iris.target.shape
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iris.target_names
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X = iris.data[:,:2]
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plt.scatter(X[:,0], X[:,1])
plt.show()
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y = iris.target
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plt.scatter(X[y==0,0], X[y==0,1], color="red")
plt.scatter(X[y==1,0], X[y==1,1], color="blue")
plt.scatter(X[y==2,0], X[y==2,1], color="green")
plt.show()
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plt.scatter(X[y==0,0], X[y==0,1], color="red", marker="o")
plt.scatter(X[y==1,0], X[y==1,1], color="blue", marker="+")
plt.scatter(X[y==2,0], X[y==2,1], color="green", marker="x")
plt.show()
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X = iris.data[:,2:]
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plt.scatter(X[y==0,0], X[y==0,1], color="red", marker="o")
plt.scatter(X[y==1,0], X[y==1,1], color="blue", marker="+")
plt.scatter(X[y==2,0], X[y==2,1], color="green", marker="x")
plt.show()