笔记|使用matplotlib绘制简单图表大数据|python

使用matplotlib绘制简单图表：
1，使用plot()绘制折线图：

# _maximum_minimum_temperatures import matplotlib.pyplot as plt import numpy as np x = np.arange(4,19) y_max = np.array([32,33,34,34,33,31,30,29,30,29,26,23,21,25,31]) y_min = np.array([19,19,20,22,22,21,16,18,18,17,14,15,16,16,16]) plt.plot(x,y_max) plt.plot(x,y_min) plt.title("41") plt.show()

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2，使用bar()绘制柱形图或堆积柱形图：

import matplotlib.pyplot as plt import numpy as np x = np.arange(5) y1 = np.array([10,8,7,11,13]) bar_width = 0.3 plt.bar(x,y1,tick_label=['a','b','c','d','e'], width=bar_width) plt.title("41") plt.show()

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x = np.arange(5) y1 = np.array([10,8,7,11,13]) y2 = np.array([9,6,5,10,12]) bar_width = 0.3 plt.bar(x,y1,tick_label=['a','b','c','d','e'], width=bar_width) plt.bar(x,y2,bottom=y1, width=bar_width) plt.title("41") plt.show()

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3，使用barh()绘制条形图或堆积条形图：

import matplotlib.pyplot as plt import numpy as np y = np.arange(5) x1 = np.array([10,8,7,11,13]) bar_height=0.3 plt.barh(y,x1,tick_label=['a','b','c','d','e'], height=bar_height) plt.title("41") plt.show()

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y = np.arange(5) x1 = np.array([10,8,7,11,13]) x2 = np.array([9,7,6,10,12]) bar_height=0.3 plt.barh(y,x1,tick_label=['a','b','c','d','e'], height=bar_height) plt.barh(y+bar_height,x2,height=bar_height) plt.title("41") plt.show()

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4，使用stackplot绘制堆积面积图：

import numpy as np import matplotlib.pyplot as plt x=np.arange(6) y1= np.array([1,4,3,5,6,7]) y2=np.array([1,3,4,2,7,6]) y3=np.array([3,4,3,6,5,5]) plt.stackplot(x,y1,y2,y3) plt.title("41") plt.show()

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5，使用hist()绘制直方图：

scores=np.random.randint(0,100,50) plt.hist(scores,bins=8,histtype='stepfilled') plt.title('41') plt.show()

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6，使用pie()绘制饼图或圆环图：

data =https://www.it610.com/article/np.array([20,50,10,15,30,55]) pie_labels=np.array(['A','B','C','D','E','F']) plt.pie(data,radius=1.5,labels=pie_labels,autopct='%3.1f%%') plt.title('41') plt.show()

【笔记|使用matplotlib绘制简单图表】

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data =https://www.it610.com/article/np.array([20,50,10,15,30,55]) pie_labels=np.array(['A','B','C','D','E','F']) plt.pie(data,radius=1.5,wedgeprops={'width': 0.7},labels=pie_labels,autopct='%3.1f%%',pctdistance=0.75) plt.title('41') plt.show()

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7，使用scatter()绘制散点图或气泡图：

num=50 x=np.random.rand(num) y=np.random.rand(num) plt.title('41') plt.scatter(x,y)

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num=50 x=np.random.rand(num) y=np.random.rand(num) area=(30*np.random.rand(num))**2 plt.title('41') plt.scatter(x,y,s=area)

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8，使用boxplot()绘制箱型图：

data =https://www.it610.com/article/np.random.randn(100) plt.boxplot(data,meanline=True,widths=0.3,patch_artist=True,showfliers=False) plt.title('41') plt.show()

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9，使用polar()绘制雷达图：

plt.rcParams['font.family']= 'SimHei' plt.rcParams['axes.unicode_minus']=False dim_num=6 data=https://www.it610.com/article/np.array([[0.40,0.32,0.35,0.30,0.30,0.88], [0.85,0.35,0.30,0.40,0.40,0.30], [0.43,0.89,0.30,0.28,0.22,0.30], [0.30,0.25,0.48,0.85,0.45,0.40], [0.20,0.38,0.87,0.45,0.32,0.28], [0.34,0.31,0.38,0.40,0.92,0.28]]) angles=np.linspace(0, 2 * np.pi, dim_num, endpoint=False) angles=np.concatenate((angles,[angles[0]])) data=np.concatenate((data,[data[0]])) radar_labels=['研究型(I)','艺术型(A)','社会型(S)','企业型(E)','传统型(C)','现实型(R)'] radar_labels=np.concatenate((radar_labels, [radar_labels[0]])) plt.polar(angles, data) plt.thetagrids(angles * 180/np.pi, labels=radar_labels) plt.fill(angles, data, alpha=0.25) plt.title('41') plt.show()