File "D:\workplace\Python\ML_Python\venv\lib\site-packages\pandas\core\indexes\base.py", line 3938, in __setitem__ raise TypeError("Index does not support mutable operations") TypeError: Index does not support mutable operations 1. 2. 3. 4. 5. 6. 常见的Index种类 Index,索引 Int64Index...
BkgdLt218non-null int64 BkgdLt_b218non-nullobjectExpNum218non-nullobjectdtypes: float64(9), int64(3),object(3) memory usage:25.6+ KBNonedf_new:None<class'pandas.core.frame.DataFrame'> Int64Index:7043entries,0to7839Data columns (total15columns): File7043non-nullobjectThreshold7043no...
Pandas drop_duplicates - TypeError: type object argument after * must be a sequence, not map 2 Python / Pandas - drop_duplicates ValueError 2 TypeError: unhashable type: 'Int64Index' 0 Pandas: drop_duplicates not working correctly 0 Duplicates, drop_duplicates malfunction 2 Attrib...
print(type(ser_obj.index)) print(type(df_obj2.index)) print(df_obj2.index) 1. 2. 3. 4. 运行结果: <class 'pandas.indexes.range.RangeIndex'> <class 'pandas.indexes.numeric.Int64Index'> Int64Index([0, 1, 2, 3], dtype='int64') 1. 2. 3. 2. 索引对象不可变,保证了数据的安...
<class 'pandas.core.indexes.numeric.Int64Index'> Int64Index([2001, 2002, 2003], dtype='int64') 预览数据(head()不加参数则显示全部) 代码语言:javascript 复制 print(ser_obj2.head()) 代码语言:javascript 复制 2001 17.8 2002 20.1 2003 16.5 dtype: float64 通过索引获取数据 代码语言:javascript 复制...
(一)Pandas基本操作 1.导入Pandas库 2.数据结构 2.1 Series 2.2 DataFrame 3.查看数据 4.选择列 5.选择行 (二)Pandas索引 1.设置索引 2.重置索引 3.多级索引 4.访问索引 (三)groupby操作 1.基本概念 2.创建示例数据 3. 使用groupby进行分组 3.1 基本的分组操作 ...
ndarray可以使用标准的pythonx[obj]x[obj]方式来访问和切片,这里xx是数组本身,而objobj是相应的选择表达式。ndarray支持3中不同的index方式:field access, basic slicing, advanced indexing,具体使用哪一种取决于objobj本身。 注意: $x[(exp1,exp2,...,expN)] 等价于x[exp1,exp2,...,expN]$ ...
import pandas as pd a = [1, 2, 3] myvar = pd.Series(a) print(myvar) 输出: 0 1 1 2 2 3 dtype: int64 指定索引值: import pandas as pd a = ["Google", "Runoob", "Wiki"] myvar = pd.Series(a, index = ["x", "y", "z"]) ...
sum()) 数据缺失值情况为: Emoji 0 Context 0 Platform 0 User Age 0 User Gender 0 dtype: int64 数据重复值情况为: 82 数据重复值情况为: 0 数据异常值处理 data.info() <class 'pandas.core.frame.DataFrame'> Int64Index: 4918 entries, 0 to 4999 Data columns (total 5 columns): Emoji 4918 ...
price int64 dtype: object 五、更改列名称 修改city为area。 importpandasaspddf=pd.DataFrame(pd.read_excel('test1.xlsx',engine='openpyxl'))print(df.dtypes)df.rename(columns={'city':'area'},inplace=True)print(df.dtypes)df.to_excel('test1.xlsx',index=False) ...