DataFrame对象的dtype而不是int

Question

如何获取数据框来解释构造器中的类型？截至目前，它让一切都为 “对象”

这里是我的代码现在：

arr = list(range(120)) + [21]*100 
cat = ["A"]*20 + ["B"]*40 + ["C", "D"] * 20 + ["E", "F" ,"G"] * 30 
df = pd.DataFrame([arr]*3 + [cat], index = ["a1", "a2", "a3", "cat"]).T 
print(df.a1.dtype.name) 
print(df.a3.dtype.name) 
print(df.cat.dtype.name) 

object 
object 
object 

Answer 1

试试这个：

np_array = np.array([arr]*3 + [cat]) 
dict = {"a1":np_array[0], "a2":np_array[1], "a3":np_array[2]} 
df = pd.concat([pd.DataFrame({"cat":np_array[3]}), pd.DataFrame(dict, dtype = 'int64')], names = ["a1", "a2", "a3", "cat"], axis = 1)