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摘要: In [1]: import pandas as pd gl=pd.read_csv('./Titanic_Data-master/Titanic_Data-master/train.csv') gl.head() Out[1]: In [1]: import pandas as pd gl=pd. 阅读全文
posted @ 2019-10-15 17:17 karina512 阅读(331) 评论(2) 推荐(0)
摘要: 1.魔法指令:%matplotlib inline ;数据画图 In [1]: %matplotlib inline import pandas as pd In [2]: import numpy as np s=pd.Series(np.random.randn(10),index=np.ara 阅读全文
posted @ 2019-10-15 17:16 karina512 阅读(168) 评论(0) 推荐(0)
摘要: 1.指定倒序的索引 In [1]: import pandas as pd import numpy as np s=pd.Series(np.arange(5),index=np.arange(5)[::-1],dtype='int64')#index=np.arange(5),指定索引范围;[: 阅读全文
posted @ 2019-10-15 17:15 karina512 阅读(186) 评论(0) 推荐(0)
摘要: In [1]: import pandas as pd import numpy as np s=pd.Series(['A','b','B','gaer','AGER',np.nan]) s Out[1]: 0 A 1 b 2 B 3 gaer 4 AGER 5 NaN dtype: object 阅读全文
posted @ 2019-10-15 17:14 karina512 阅读(169) 评论(0) 推荐(0)
摘要: In [1]: import pandas as pd import numpy as np df=pd.DataFrame({'A':['foo','bar','foo','bar', 'foo','bar','foo','foo'], 'B':['one','one','two','three' 阅读全文
posted @ 2019-10-15 17:13 karina512 阅读(551) 评论(0) 推荐(1)