控制颜色
| Color | Color Name |
| b | blue |
| c | cyan |
| g | green |
| k | black |
| m | magenta |
| r | red |
| w | white |
| y | yellow |
plt.plot(x1, y1, fmt1, x2, y2, fmt2, ...)
控制线的风格
| Style | Style |
| - | solid line |
| -- | dashed line |
| -. | dash-dot line |
| : | dotted line |
控制标记样式
| . | Point marker |
| , | Pixel marker |
| o | Circle marker |
| v | Triangle down |
| ^ | Triangle up marker |
| < | Triangle left marker |
| > | Triangle right marker |
| 1 | Tripod down marker |
| 2 | Tripod up marker |
| 3 | Tripod left marker |
| 4 | Tripod right marker |
| s | Square marker |
| p | Pentagon marker |
| * | Star marker |
| h | Hexagon marker |
| H | Rotated hexagon marker |
| + | Plus marker |
| x | Cross marker |
| D | Diamond marker |
| d | Thin diamond marker |
| | | Vertical line |
| _ | Horizontal line |
用关键字参数进行更好的控制
处理X和Y的ticks标签值
画图的类型
直方图图表 = Histogram charts
Error bar charts
Bar Charts
本小结代码示例
import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3)
plt.plot(y, 'y')
plt.plot(y+1, 'm')
plt.plot(y+2, 'c')
plt.show() import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3)
plt.plot(y, '--', y+1, '-.', y+2, ':')
plt.show() import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3, 0.2)
plt.plot(y, 'x', y+0.5, 'o', y+1, 'D', y+1.5, '^', y+2, 's')
plt.show() import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3, 0.3)
plt.plot(y, 'cx--', y+1, 'mo:', y+2, 'kp-.')
plt.show() import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3, 0.3)
plt.plot(y, color='blue', linestyle='dashdot', linewidth=4,
marker='o', markerfacecolor='red', markeredgecolor='black',
markeredgewidth=3, markersize=12)
plt.show() import matplotlib.pyplot as plt
x = [5, 3, 7, 2, 4, 1]
plt.plot(x)
plt.xticks(range(len(x)), ['a', 'b', 'c', 'd', 'e', 'f'])
plt.yticks(range(1, 8, 2))
plt.show() import matplotlib.pyplot as plt
import numpy as np
y = np.random.randn(1000)
plt.hist(y)
plt.show()
plt.hist(y, 25)
plt.show() import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 4, 0.2)
y = np.exp(-x)
e1 = 0.1 * np.abs(np.random.randn(len(y)))
plt.errorbar(x, y, yerr=e1, fmt='.-')
plt.show()
e2 = 0.1 * np.abs(np.random.randn(len(y)))
plt.errorbar(x, y, yerr=e1, xerr=e2, fmt='.-', capsize=0)
plt.show()
plt.errorbar(x, y, yerr=[e1, e2], fmt='.-')
plt.show() import matplotlib.pyplot as plt
plt.bar([1, 2, 3], [3, 2, 5])
plt.show() import matplotlib.pyplot as plt
import numpy as np
data1 = 10*np.random.rand(5)
data2 = 10*np.random.rand(5)
data3 = 10*np.random.rand(5)
e2 = 0.5*np.abs(np.random.randn(len(data2)))
locs = np.arange(1, len(data1)+1)
width = 0.27
plt.bar(locs+width, data2, yerr=e2, width=width, color='red')
plt.bar(locs+2*width, data3, width=width, color='green')
plt.show()
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