随笔分类 -  python数据分析

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AttributeError: module 'pandas' has no attribute 'scatter_matrix'
摘要：pd.scatter_matrix(trans_data,diagonal='kde',color='k',alpha=0.3)报错，改为pd.plotting.scatter_matrix(trans_data,diagonal='kde',color='k',alpha=0.3) 阅读全文
posted @ 2021-09-01 14:19 OTAKU_nicole 阅读(319) 评论(0) 推荐(0)
AttributeError: 'Rectangle' object has no property 'normed'
摘要：values.hist(bins=100,alpha=0.3,color='g',normed=True)报错改为density=Truevalues.hist(bins=100,alpha=0.3,color='g',density=True) 阅读全文
posted @ 2021-09-01 11:35 OTAKU_nicole 阅读(1500) 评论(0) 推荐(0)
matplotlib中文标题
摘要：fig, ax = plt.subplots() ax.plot(2, 3) plt.rcParams['font.sans-serif'] = ['SimHei'] # 正常显示中文 ax.set_title('中文标题') plt.show 阅读全文
posted @ 2021-08-31 11:39 OTAKU_nicole 阅读(298) 评论(0) 推荐(0)
正则表达式 Python for Data Analysis 笔记
摘要：import re # 描述一个或多个空白符的regex是\s+ text = "foo bar\t baz \tqux" regex = re.compile('\s+') print(regex.split(text)) # 等于 re.split('\s+',text) # ['foo', ' 阅读全文
posted @ 2021-08-30 10:25 OTAKU_nicole 阅读(48) 评论(0) 推荐(0)
计算指标/哑变量
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np # 如果一个DataFrame的某一列中含有K个不同值，则可以派生出一个K列矩阵 df = DataFrame({'key':['b','b','a' 阅读全文
posted @ 2021-08-27 17:29 OTAKU_nicole 阅读(152) 评论(0) 推荐(0)
ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators
摘要：pd.read_table('movies.dat', sep='::') ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (sep 阅读全文
posted @ 2021-08-26 17:58 OTAKU_nicole 阅读(1931) 评论(0) 推荐(0)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 3114: invalid continuation byte
摘要：pd.read_table('movies.dat', sep='::') 增加 encoding='ISO-8859-1' 可解决 pd.read_table('movies.dat', sep='::',encoding='ISO-8859-1') 阅读全文
posted @ 2021-08-26 17:39 OTAKU_nicole 阅读(914) 评论(0) 推荐(0)
DataFrame随机采样
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np # 使用numpy.random.permutation可实现对Series或DataFrame的列排列 df = DataFrame(np.aran 阅读全文
posted @ 2021-07-01 16:34 OTAKU_nicole 阅读(287) 评论(0) 推荐(0)
检测和过滤异常值
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np np.random.seed(12345) data = DataFrame(np.random.randn(1000,4)) # 找出某列中绝对值大 阅读全文
posted @ 2021-07-01 16:16 OTAKU_nicole 阅读(101) 评论(0) 推荐(0)
离散化和面元划分
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np ages = [20, 22, 25, 27, 21, 23, 37, 31, 61, 45, 41, 32] bins = [18,25,35,60 阅读全文
posted @ 2021-07-01 16:00 OTAKU_nicole 阅读(69) 评论(0) 推荐(0)
AttributeError: 'Categorical' object has no attribute 'levels'
摘要：Categorical.levels属性停止使用，现在为Categorical.categories 阅读全文
posted @ 2021-07-01 15:31 OTAKU_nicole 阅读(313) 评论(0) 推荐(0)
AttributeError: 'Categorical' object has no attribute 'labels'
摘要：Categorical.labels属性停止使用，现在为Categorical.codes 阅读全文
posted @ 2021-07-01 15:30 OTAKU_nicole 阅读(671) 评论(0) 推荐(0)
重命名轴索引
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np data = DataFrame(np.arange(12).reshape((3,4)), index=["Aa","Bb","Cc"], colu 阅读全文
posted @ 2021-07-01 15:17 OTAKU_nicole 阅读(61) 评论(0) 推荐(0)
替换值replace
摘要：from pandas import Series import numpy as np data = Series([1,-999,2,-999,-1000,3]) print(data) ''' 0 1 1 -999 2 2 3 -999 4 -1000 5 3 dtype: int64 ''' 阅读全文
posted @ 2021-07-01 15:03 OTAKU_nicole 阅读(94) 评论(0) 推荐(0)
DataFrame利用函数或映射进行数据转换map
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np data = DataFrame({'k1':['A']*3+['B']*4, 'k2':[1,1,2,3,3,4,4]}) print(data) 阅读全文
posted @ 2021-03-15 14:50 OTAKU_nicole 阅读(658) 评论(0) 推荐(0)
TypeError: drop_duplicates() got an unexpected keyword argument 'take_last'
摘要：将 take_last=True 改为 keep='last' 阅读全文
posted @ 2021-03-15 14:26 OTAKU_nicole 阅读(510) 评论(0) 推荐(0)
DataFrame合并：合并重叠数据combine_first
摘要：from pandas import DataFrame,Series import numpy as np a = Series([np.nan,2.5,np.nan,3.5,4.5,np.nan], index=['f','e','d','c','b','a']) print(a) ''' f 阅读全文
posted @ 2021-03-15 10:50 OTAKU_nicole 阅读(456) 评论(0) 推荐(0)
DataFrame合并：轴向链接concat
摘要：from pandas import DataFrame,Series import pandas as pd import numpy as np arr = np.arange(12).reshape((3,4)) print(arr) ''' [[ 0 1 2 3] [ 4 5 6 7] [ 阅读全文
posted @ 2021-03-04 17:08 OTAKU_nicole 阅读(154) 评论(0) 推荐(0)
DataFrame索引合并 join
摘要：from pandas import DataFrame left = DataFrame([[1,2],[3,4],[5,6]],index=['a','c','e'],columns=['item1','item2']) right = DataFrame([[7,8],[9,10],[11,1 阅读全文
posted @ 2021-02-25 15:35 OTAKU_nicole 阅读(753) 评论(0) 推荐(0)
DataFrame合并数据集 pandas.merge
摘要：from pandas import DataFrame import pandas as pd df1 = DataFrame({'key':['b','b','a','c','a','a','b'], 'data1':range(7)}) df2 = DataFrame({'key':['a', 阅读全文
posted @ 2021-02-25 14:32 OTAKU_nicole 阅读(88) 评论(0) 推荐(0)

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