Matplotlib
給 R 使用者的 Python
Daniel Chen
Instructor
Matplotlib 繪圖
import matplotlib.pyplot as plt
plt.hist(iris['sepal_length'])
plt.show()
Matplotlib 散佈圖
plt.scatter(iris['sepal_length'], iris['sepal_width'])
plt.show()
美化圖形
fig, ax = plt.subplots()
ax.scatter(iris['sepal_length'], iris['sepal_width'])
ax.set_title('Sepal Length')
ax.set_xlabel('Sepal Length')
ax.set_ylabel('Sepal Width')
plt.show()
旋轉座標刻度
fig, ax = plt.subplots()
ax.scatter(iris['sepal_length'], iris['sepal_width'])
ax.set_title('Sepal Length')
ax.set_xlabel('Sepal Length')
ax.set_ylabel('Sepal Width')
plt.xticks(rotation=45) # rotate the x-axis ticks
plt.show()
matplotlib 圖形構成
matplotlib 圖形構成 2
Figure 與 Axes
fig, ax = plt.subplots()
ax.scatter(iris['sepal_length'], iris['sepal_width'])
plt.show()
多個 Axes
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.scatter(iris['sepal_length'], iris['sepal_width'])
ax2.hist(iris['sepal_length'])
plt.show()
請記住
fig, ax = plt.subplots()
sns.regplot(x='sepal_length', y='sepal_width',
data=iris, fit_reg=False, ax=ax)
plt.show()
清空圖形
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.scatter(iris['sepal_length'], iris['sepal_width'])
ax2.hist(iris['sepal_length'])
plt.show()
plt.clf()
