python - tensorflow - 理解assign语句

Question

我正在做基本的tensorflow iris示例，我遇到了以下评论很好的声明：

# 1. Assign the DataFrame's labels (the right-most column) to train_label.
# 2. Delete (pop) the labels from the DataFrame.
# 3. Assign the remainder of the DataFrame to train_features
train_features, train_label = train, train.pop(label_name)

我的理解：这相当于：

train_features = train
train_label = train.pop(label_name)

我的问题：当我们在第一个语句中将dataFrame train分配给train_features时，然后在第二个语句中弹出label_name，是否从train_features中删除label_name？