python可視化編程實例(matplotlib)_1

使用matplotlib對下面的圖進行繪製 

# 直線圖
import numpy as np
from matplotlib import pyplot as plt
x = np.arange(1, 4)
y = 6 - x
plt.title("Straight line graph")
plt.xlabel("x")
plt.ylabel("y")
plt.plot(x, y)
plt.show()

# 條形圖
from matplotlib import pyplot as plt
x =  [1,2,3,4]
y =  [5,4,3,2]
plt.bar(x, y, align =  'center')
plt.title('Bar graph')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.show()

# 橫條形圖
import matplotlib.pyplot as plt
import matplotlib
x = [1,2,3,4]
y = [5,4,3,2]
plt.barh(range(len(y)), y, tick_label=x)
plt.show()
plt.show()


# 顏色條形圖
from matplotlib.pyplot import  *
x =  [1,2,3,4]
y =  [5,4,3,2]
figure()
bar(x,y)
y1 = [7,8,5,3]
bar(x,y1,bottom  = y ,color = 'r')
show()


# 箱線圖
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
data = {
'1': [1, 2, 3, 4]
}
df = pd.DataFrame(data)
df.plot.box(title="picture")
plt.grid(linestyle="--", alpha=0.3)
plt.show()


# 散點圖
import numpy as np
from matplotlib import pyplot as plt
x = np.arange(1, 10)
y = 6 - x
plt.title("Scatter plot")
plt.xlabel("x")
plt.ylabel("y")
plt.plot(x, y, "ob")
plt.show()