Question

尝试在Databricks-Koalas中复制熊猫功能在熊猫中：

View.OnClickListener onClickListener_button1 = new View.OnClickListener() {
        @Override
        public void onClick(View v) {
            for(int i=1; i<= 5; i++){
                textView.setText("hello " + i);

                try{Thread.sleep(1000);
                } catch(Exception e){
                }
            }
}

在考拉中：

df = pd.DataFrame({'a': [450, 1, 26],
                   'b': [1, 450, 70],
                  })
thresh = [x for x in range(26)] # create a list 1 to 25
df["c"] = np.where((df.a.isin(thresh) | df.b.isin(thresh)), 1, 0) # find the values within the threshold and flag column 'c'
df
# returns
Out[32]: 
     a    b  c
0  450    1  1
1    1  450  1
2   26   70  0

如何按预期正确使用df = ks.DataFrame({'a': [450, 1, 26], 'b': [1, 450, 70], }) thresh = [x for x in range(26)] # create a list 1 to 25 df = df.assign(c=np.where((df.a.isin(thresh) | df.b.isin(thresh)), 1, 0)) # find the values within the threshold and flag column 'c' # returns PandasNotImplementedError: The method `pd.Series.__iter__()` is not implemented. If you want to collect your data as an NumPy array, use 'to_numpy()' instead.或将Numpy结果包装在ks.Series（）中，以便assign（）接受结果？

to_numpy给出与上述相同的错误。

有没有办法在考拉中复制熊猫功能？

Answer 1

要执行此操作，您不需要在ks.DataFrame中进行np.where，但是可以使用astype：

df = df.assign(c= (df.a.isin(thresh) | df.b.isin(thresh)).astype(int) )
df
     a    b  c
0  450    1  1
1    1  450  1
2   26   70  0

从Numpy结果分配考拉列

1 个答案: