df.set_index()：设置列为行索引 创建一个DataFrame：import pandas as pd Student_dict = {'姓名...
Example: Set New Column Names when Importing CSV File The following code illustrates how to adjust the header of a pandas DataFrame that has been loaded from a CSV file. For this task, we have to set theskiprows argumentto 1, and we have to assign a list of new column names to the n...
#simplifyfornot necessarysetnewcolumnsnames by list df=df.groupby(['company'])['rating'].agg([...
from_tuples(tuples, names=['first', 'last']) df = pd.DataFrame(np.random.randn(8, 2), index=index, columns=['A', 'B' ]) df2 = df[: 4] print(df2) stacked = df2.stack() print(stacked) stacked.unstack() #括号中可以填数字,表示对第几个索引进行unstack,不加数字默认为最后的...
set_index(keys,drop=True) keys:可以为值也可以为列表,为列表时会产生Multindex 查看索引的方法:DataFrame.index 可以查看索引的名字和值:DataFrame.index.names DataFrame.index.levels Panel:DataFrame的容器(弃用) items -axis 0,每个项目对应于内部包含的数据帧(DataFrame) ...
我们可以通过MultiIndex类的相关方法,预先创建一个MultiIndex对象,然后作为Series与DataFrame中的index(或columns)参数值。同时,可以通过names参数指定多层索引的名称。 from_arrays:接收一个多维数组参数,高维指定高层索引,低维指定底层索引。 from_tuples:接收一个元组的列表,每个元组指定每个索引(高维索引,低维索引)。
names={'First_name':['Jon','Bill','Maria','Emma']}df=pd.DataFrame(names,columns=['First_name'])df.loc[df['First_name']=='Bill','name_match']='Match'df.loc[df['First_name']!='Bill','name_match']='Mismatch'print(df) ...
classDataFrame(NDFrame,OpsMixin):_internal_names_set={"columns","index"}|NDFrame._internal_names_set _typ="dataframe"_HANDLED_TYPES=(Series,Index,ExtensionArray,np.ndarray)_accessors:set[str]={"sparse"}_hidden_attrs:frozenset[str]=NDFrame._hidden_attrs|frozenset([])_mgr:BlockManager|ArrayManager...
DataFrame.rename_axis(mapper[, axis, copy, …])Alter index and / or columns using input function or functions. DataFrame.reset_index([level, drop, …])For DataFrame with multi-level index, return new DataFrame with labeling information in the columns under the index names, defaulting to ‘le...
GroupColumnValues<TKey>(HashSet<Int64>) Groups the rows of this column by their value. HasDescription() Used to exclude columns from the Description method Info() Returns a StringDataFrameColumn containing the DataType and Length of this column IsNumericColumn() Determines if the column is...