如何遍历 pandas 数据框 [英] How to loop through a Pandas dataframe

问题描述

我正在尝试遍历Pandas数据框.列表L包含用于指定X或Y应该从哪个行开始的值，即(1 :, 2 :, 3 ::).

I am trying to loop through a Pandas dataframe. The list L includes values that are used to specify what row X or Y should begin from i.e., (1:, 2:, 3:).

list = [1,2,3]

for L in list:
    X = data.ix[L:, 'X':]
    Y = data.ix[L:, 'Y']     
    regressor = LinearRegression()
    regressor.fit(X, Y)
    prediction = regressor.predict([[Variable]])

尝试上述操作时的错误是:

The error when attempting the above is:

TypeError: 'type' object is not iterable

推荐答案

IIUC，您可以执行以下操作:

IIUC you can do something like the following:

l = [1,2,3]
results = []

for idx in l:
    X = data.ix[idx:, 'X':]
    Y = data.ix[idx:, 'Y']     
    regressor = LinearRegression()
    regressor.fit(X, Y)
    results.append(regressor.predict([[Variable]]))

但是，我不知道这里的Variable是什么，您也可以执行以下操作:

However, I don't know what Variable is here, you could also just do the following:

for df in data.iloc[::1]:
    regressor = LinearRegression()
    regressor.fit(df['X'], df['Y'])
    results.append(regressor.predict([[Variable]]))

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