Python Data Analysis - TypeError: 'Int' Object Is Not iTerable

This article is mainly to record a small problem I have encountered in the process of knocking the code. After the code is written, I don't pay attention to the small mistakes made. In fact, this problem should not be written (manually shameful expression), why writing What? Because I feel correct when I first started. . . Specially write down to wake yourself.

Question: Cycate the type of element of the DataFrame, then do the wrong time to clean it, the report of the For loop.

I will guess what I have to do if I look at the code below. . . It's so simple ~

a = pd.DataFrame({'one':[1,2,3,4,5],'two':['q','','e','','t'],'three':['','ss','',11,'gg']})
# b = []
for i in len(a):
    print(i)

Then report an error:
Here INT is an integer variable, so it cannot be iterated. . .
Therefore, the code is changed:

a = pd.DataFrame({'one':[1,2,3,4,5],'two':['q','','e','','t'],'three':['','ss','',11,'gg']})
# b = []
for i in range(len(a)):
    print(i)

OK is OK. . .

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