摘要: import matplotlib.pyplot as pltimport numpy as npdx = 0.01; dy = 0.01x = np.arange(-2.0,2.0,dx)y = np.arange(-2.0,2.0,dy)X,Y = np.meshgrid(x,y)#def f( 阅读全文
posted @ 2020-06-13 22:40 逐梦无惧_数据分析 阅读(141) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as pltlabels = ['Nokia','apple','sumsug','lumai']values = [10,30,45,15]colors = ['yellow','green','red','blue']explode = [0.3 阅读全文
posted @ 2020-06-13 22:17 逐梦无惧_数据分析 阅读(123) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as pltimport numpy as npimport pandas as pddata = {'series1':[1,3,4,3,5], 'series2':[2,4,5,2,4], 'series3':[3,2,3,1,3]}df = p 阅读全文
posted @ 2020-06-13 21:56 逐梦无惧_数据分析 阅读(439) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as pltimport numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]values2 = [6,6,4,5,7]values3 = [5,6,5,4,6]bw = 0.3plt.axis([ 阅读全文
posted @ 2020-06-13 21:46 逐梦无惧_数据分析 阅读(160) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as pltimport numpy as npindex = np.arange(5)values1 = [5,7,3,4,6]std1 = [0.8,1,0.4,0.9,1.3]plt.title('A Bar Chart')plt.barh(i 阅读全文
posted @ 2020-06-13 21:32 逐梦无惧_数据分析 阅读(354) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as plt import numpy as np index = [0,1,2,3,4] #index = np.arange(5) values = [5,7,3,4,6] plt.bar(index,values) plt.xticks(ind 阅读全文
posted @ 2020-06-13 21:11 逐梦无惧_数据分析 阅读(157) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as plt import numpy as np import pandas as pd data = {'series1':[1,3,4,3,5], 'series2':[2,4,5,2,4], 'series3':[3,2,3,1,3]} df 阅读全文
posted @ 2020-06-13 21:01 逐梦无惧_数据分析 阅读(262) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as plt import numpy as np pop = np.random.randint(0,100,100) pop n,bins,patches = plt.hist(pop,bins=20) plt.show() 阅读全文
posted @ 2020-06-13 16:27 逐梦无惧_数据分析 阅读(311) 评论(0) 推荐(0)
摘要: import matplotlib.pyplot as plt import numpy as np pop = np.random.randint(0,100,100) pop n,bins,patches = plt.hist(pop,bins=20) plt.show() 阅读全文
posted @ 2020-06-13 16:02 逐梦无惧_数据分析 阅读(172) 评论(0) 推荐(0)