我正在尝试分析篮球队的比赛数据
我所做的是将csv文件读入DataFrame对象。

我想在将新属性添加到现有对象时保留DataFrame对象的功能。因此我写了一个叫篮球的课:

from data_math import *
import pandas as pd
class Basketball(pd.DataFrame):
    def __init__(self,*args,**kargs):
        pd.DataFrame.__init__(self,*args,**kargs)
        self.FGM = calculate_FGM(pd.DataFrame)
        self.FGA = calculate_FGA(pd.DateFrame)
        self.FGP = self.FGM / self.FGA
        self.M3  = calculate_3M(pd.DataFrame)
        self.A3  = calcualte_3A(pd.DataFrame)
        self.P3  = self.M3 / self.A3
        self.FTM = calcualte_FTM(pd.DataFrame)
        self.FTA = calculate_FTA(pd.DataFrame)
        self.FTP = self.FTM / self.FTA
    # self.P = score_calculate(pd.DataFrame)


我编写了另一个data_math.py文件,以帮助计算要包含在Basketball类中的不同属性。

from pandas import DataFrame

def score_calculate(df):
    df_pt_scored = df[((df['etype']=='shot') & (df['result']=='made'))]
    df_ft_scored = df[((df['etype']=='free throw') & (df['result']=='made'))]
    return df_pt_scored['points'].sum()+len(df_ft_scored.index)

def calculate_FGM(df):
    cond_pt = (df['etype']=='shots') & (df['results']=='made')
    cond_ft = (df['etype']=='freethrow') & (df['results']=='made')
    return len(df[cond_pt].index)+len(df[cond_ft].index)

def calculate_FGA(df):
    shot_cond= df['etype']=='shot'
    free_throw_cond = df['etype']=='free throw'
    return len(df[shot_cond].index)+len(df[free_throw_cond].index)

def calculate_3M(df):
    cond_3M= (df['etype']=='shot')&(df['type']=='3pt')&(df['result']=='made')
    return len(df[cond_3M].index)

def calcualte_3A(df):
    cond_3A = (df['etype']=='shot')&(df['type']=='3pt')
    return len(df[cond_3A].index)

def calculate_FTM(df):
    cond_FTM =(df['etype']=='free throw') & (df['result']=='made')
    return len(df[cond_FTM].index)

def calcualte_FTA(df):
    cond_FTA =(df['etype']=='free throw')
    return len(df[cond_FTA].index)


最后,我从main.py启动程序,希望可以给我正确的输出。但是,在此行上执行时:

team1= Basketball(tm1)


我收到以下回溯

 Traceback (most recent call last):
  File "/Users/luoyicheng/Developer/STAR-Research/data_analysis/source code/main.py", line 20, in <module>
    team1= Basketball(tm1)
  File "/Users/luoyicheng/Developer/STAR-Research/data_analysis/source code/Basketball.py", line 6, in __init__
    self.FGM = calculate_FGM(pd.DataFrame)
  File "/Users/luoyicheng/Developer/STAR-Research/data_analysis/source code/data_math.py", line 9, in calculate_FGM
    cond_pt = (df['etype']=='shots') & (df['results']=='made')
TypeError: 'type' object has no attribute '__getitem__'


我是python编程的新手,无法弄清楚为什么会发生此错误。据我了解,此错误意味着我无法使用DataFrame的索引功能。但是,如果我尝试在主要函数中进行类似的编码,则可以得到所需的输出。我也不清楚如何扩展现有的DataFrame类,以便在扩展team1对象以具有诸如FGM,FGA等属性的同时,仍可以访问DataFrame类中的方法。

扩展此类的想法是允许我在Basketball()中传递任何DataFrame对象,以便我可以拥有一个具有扩展属性和方法的对象。我想我也缺乏对init和self用法的理解。

请不要怪我没有清楚地描述问题,因为我不熟悉OOP中的所有术语。

非常感谢!

最佳答案

您正在传递类型为type的每个函数pd.DataFrame

In [11]: type(pd.DataFrame)
Out[11]: type


因此,异常消息。

您的意思是传递self(类型为DataFrame):

self.FGM = calculate_FGM(pd.DataFrame)
...


应该读:

self.FGM = calculate_FGM(self)
...

10-07 19:01
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