一、reset_index方法的作用 reset_index方法是把DateFrame的现在索引变成一列数据。我们先创建一个DateFrame对象df: 对df使用reset_index方法: 可以看到原来的索引变成了数据中的一列,并且系统自动为原来的索引列命名为index,因为在DateFrame中每一列数据必须有列名,而索引列原来是没有列名的,所以在转为数据后需要要...
By the way, if we do want thenamearg or something analogous, then I guess we would also want myabove exampleto work. Currently, the following is broken: df that was a typo. I guess in theory it should work, but what does setting a it mean to set a Multi-Index named column as a...
level: In multi-level DataFrame, it takes alevel name or a positionofRow indexthat needs to be reset. By default, it reset all levels in a row index. drop: It is a boolean flag, True– It does not add the current row index as a new column in DataFrame. False (Default)– It adds...
reset_index()is used to reset the index of a DataFrame, converting it back to a default integer index. By default,reset_index()moves the existing index into a new column in the DataFrame. Usedrop=Trueto reset the index without adding the old index as a new column. Theinplace=Trueparame...
少女frompandasimportDataFrameasDFimportpandasaspddata=pd.DataFrame({'A':[1,2,3,4],'B':[5,6,6,8],'C':[9,9,9,12]})defcolumn_types_table(data):print('Number of each type of columns:')count_dtype=data.dtypes.value_counts().reset_index()#总表每一类别总数,以列为单位count_dtype....
对于巨大的数据集，双T的成本可能是不可接受的，但在简单的情况下，一行返回DataFrame的副本可能有用。
在本示例中,将2列(名字和性别)添加到索引列,然后使用reset_index()方法删除一个级别。 # importing pandas packageimportpandasaspd# making data frame from csv filedata = pd.read_csv("employees.csv")# setting first name as index columndata.set_index(["First Name","Gender"], inplace =True, ...
df=pd.DataFrame({'A':range(3),'B':['one','two','three']})df=df.set_index('B').reset_index()# Output:# B A# 0 one 0# 1 two 1# 2 three 2 Python Copy In this case, we first usedset_index('B')to move column ‘B’ into the index. Then, we usedreset_index()to res...
检查您正在运行的pandas版本是否>= 1.5.0。该参数是在1.5.0中为reset_index()引入的 ...
newdf = df.reset_index() print(newdf) Try it Yourself » Definition and Usage Thereset_index()method allows you reset the index back to the default 0, 1, 2 etc indexes. By default this method will keep the "old" idexes in a column named "index", to avoid this, use thedroppara...