出错转换的元组到大熊猫数据帧

Question

当我尝试转换的元组到大熊猫数据帧我得到以下错误：

DataFrame constructor not properly called!

我使用下面的代码

columnlist=["Timestamp","Price","Month","Day","DayofWeek","tDaysleftMonth","tDayinMonth","tDayinWeek"] 
tickerData=pd.DataFrame(tickerDataRaw,columns=columnlist) 

的数据加载到来自MySQL数据库的元组，

请找到数据的屏幕截图。 Data I am trying to convert

Answer 1

我认为你可以使用DataFrame.from_records与转换tuples到list：

import pandas as pd 

tuples = ((1,2,3),(4,6,7),(7,3,6),(8,2,7),(4,6,3),(7,3,6)) 

columnlist = ['a','b','c'] 
df = pd.DataFrame.from_records(list(tuples), columns=columnlist) 
print (df) 
    a b c 
0 1 2 3 
1 4 6 7 
2 7 3 6 
3 8 2 7 
4 4 6 3 
5 7 3 6 

只有DataFrame构造另一种解决方案：

import pandas as pd 

tuples = ((1,2,3),(4,6,7),(7,3,6),(8,2,7),(4,6,3),(7,3,6)) 

columnlist = ['a','b','c'] 
df = pd.DataFrame(list(tuples), columns=columnlist) 
print (df) 
    a b c 
0 1 2 3 
1 4 6 7 
2 7 3 6 
3 8 2 7 
4 4 6 3 
5 7 3 6 

编辑：

如果检查DataFrame和参数data ：

data : numpy ndarray (structured or homogeneous), dict, or DataFrame

Dict can contain Series, arrays, constants, or list-like objects

Answer 2

按照Dataframe documentation page，数据要求是

numpy ndarray (structured or homogeneous), dict, or DataFrame

最简单的方法来解决你的问题是simplty在numpy的阵列加载数据，它应该工作的罚款。

>>> tuples = ((1,2,3),(1,2,3),(1,2,3)) 
>>> columns = ["A", "B", "C"] 
>>> pd.DataFrame(tuples, columns=columns) 
PandasError: DataFrame constructor not properly called! 

>>> pd.DataFrame(np.array(tuples), columns=columns) 
    A B C 
0 1 2 3 
1 1 2 3 
2 1 2 3