摘要: import numpy as np import pandas as pd index=[("beijing",2007),("beijing", 2017), ("beijing", 2027),("shenzhen",2007), ("shenzhen",2017),("shenzhen",2 阅读全文
posted @ 2020-03-08 16:07 胡辣汤王子 阅读(314) 评论(0) 推荐(0) 编辑
摘要: import numpy as np import pandas as pd index=[("beijing",2007),("beijing", 2017), ("beijing", 2027),("shenzhen",2007), ("shenzhen",2017),("shenzhen",2 阅读全文
posted @ 2020-03-08 16:05 胡辣汤王子 阅读(600) 评论(0) 推荐(0) 编辑
摘要: import numpy as np import pandas as pd #1.风格1 df=pd.DataFrame(np.random.rand(4,2), columns=["A","B"], index=[["1","1","2","2"], ["a","b","a","b"]]) pr 阅读全文
posted @ 2020-03-08 16:03 胡辣汤王子 阅读(291) 评论(0) 推荐(0) 编辑
摘要: import numpy as np import pandas as pd from matplotlib import pyplot as plt nasa=pd.read_table(r"Y:\Workplace\BigData\percent-bachelors-degrees-women- 阅读全文
posted @ 2020-03-08 13:13 胡辣汤王子 阅读(319) 评论(0) 推荐(0) 编辑
摘要: import numpy as np import pandas as pd #1.数据筛选 arr1=np.array([1,None,3,4]) print(arr1)#None不能参与计算 arr2=np.arange(1000,dtype=int).sum() print(arr2)#叠加计 阅读全文
posted @ 2020-03-08 11:54 胡辣汤王子 阅读(140) 评论(0) 推荐(0) 编辑
摘要: import pandas as pdimport pymysql #1.处理数据格式csvpath=r"Y:\Workplace\BigData\percent-bachelors-degrees-women-usa.csv" food=pd.read_csv(csvpath)#路径必须全英文 p 阅读全文
posted @ 2020-03-08 11:53 胡辣汤王子 阅读(211) 评论(0) 推荐(0) 编辑