import pandas as pd # 定义一个函数,该函数将在每一行中应用 def my_function(row): return pd.Series([row['column1'] * 2, row['column2'] * 3]) # 创建一个DataFrame data = {'column1': [1, 2, 3], 'column2': [4, 5, 6]} df = pd.DataFrame(data) # 使用apply函数将my_fu...
在操作DataFrame的函数中,通常有沿着轴来进行操作,沿着axis=0,表示对一列(column)的数据进行操作;沿着axis=1,表示对一行(row)的数据进行操作。 axis{0 or ‘index’, 1 or ‘columns’}, default 0 Axis along which the function is applied:• 0 or ‘index’: apply function to each column. • 1...
DataFrame, apply_func: callable, window: int, return_col_num: int, **kwargs): """ rolling with multiple columns on 2 dim pd.Dataframe * the result can apply the function which can return pd.Series with multiple columns call apply function with numpy ndarray :param return_col_num: 返回...
{'c':5,'d':6,'e':7}]}])print(df)df1=pd.concat([df.drop(['b'],axis=1),df['b'].apply(pd.Series)],axis=1)print(df1)df2=pd.concat([df1.drop([2],axis=1),df1[2].apply(pd.Series)],axis=
Use .apply with axis=1 to send every single row to a function You can also send an entire row at a time instead of just a single column. Use this if you need to use multiple columns to get a result. # Create a dataframe from a list of dictionaries rectangles = [...
call() 和 apply() 是预定义的函数方法。 两个方法可用于调用函数,两个方法的第一个参数必须是对象本身。 function myFunction(a, b) { ... 我的腹肌不见了 0 411 Select rows from Dataframe - 从Dataframe中选择行 2019-12-05 15:22 − How to select rows from a DataFrame based on column...
)。其中apply()方法是针对某些行或列进行操作的，而applymap()方法则是针对所有元素进行操作的。
DataFrame.applymap(func) #Apply a function to a DataFrame that is intended to operate elementwise, i.e. DataFrame.aggregate(func[, axis]) #Aggregate using callable, string, dict, or list of string/callables DataFrame.transform(func, *args, **kwargs) #Call function producing a like-indexed...
DataFrame.combine_first(other)Combine two DataFrame objects and default to non-null values in frame calling the method. 函数应用&分组&窗口 方法描述 DataFrame.apply(func[, axis, broadcast, …])应用函数 DataFrame.applymap(func)Apply a function to a DataFrame that is intended to operate elementwise...
A function to apply to the DataFrame. axis 01'index''columns' Optional, Which axis to apply the function to. default 0. raw TrueFalse Optional, default False. Set to true if the row/column should be passed as an ndarray object result_type 'expand''reduce''broadcast'None Optional, ...