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系列视频待发布。csv文件内的数据：#数据分析--华夏幸福怀来项目分析import pandas as pdimport numpy as npimport matplotlib.pyplot as pltdf=pd.read_csv('huaxiahouse.csv',encoding='gbk')a=df.info()print(a)#以title为关键字，若标题内容相同，则认为是同一记录b=len(df.title.unique())print(b)#去重,titl

Python数据可视化视频课程网址：https://edu.youkuaiyun.com/course/detail/29085#用饼形图来统计学生成绩等级占比import numpy as npimport pandas as pdimport matplotlib.pyplot as pltlabel=['A','B','C','D']percent=[25,54,16,5]#explode=[0,0.2,0,0]explode=[0,0,0,0.1]plt.axes(aspect=1)

Python数据可视化视频课程网址：https://edu.youkuaiyun.com/course/detail/29085#函数的使用import matplotlib.pyplot as pltimport numpy as npdef my_plotter(ax, data1, data2, param_dict): out = ax.plot(data1, data2, **param_dict) return out#data1, data2, data3, data4

Python数据可视化视频课程网址：https://edu.youkuaiyun.com/course/detail/29085#条形图实例#encoding:utf-8import matplotlib.pyplot as pltplt.rcParams['font.sans-serif'] = ['Microsoft YaHei']a='性别'b='数量占比'c='性别比例分析'plt.xlabel(a)plt.ylabel(b)plt.title(c)d=0e=1plt.

Python数据可视化视频课程网址：https://edu.youkuaiyun.com/course/detail/29085import matplotlib.pyplot as pltimport numpy as npplt.rcParams['font.sans-serif'] = ['Microsoft YaHei'] #识别汉字x = np.linspace(0, 2, 50) #代表当前网线上有的点的number(0,2)代表x方向的起止位置 分为50份plt.plot(x, x