类型错误：mean() 得到了一个意外的关键字参数“dtype”#Pandas.DataFrame
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TypeError: mean() got an unexpected keyword argument 'dtype' # Pandas.DataFrame
提问by Michael
I want to get the numpy.meanof each column of my pandas.DataFrame.
我想获得numpy.mean我的pandas.DataFrame.
Here is my code:
这是我的代码：
import pandas as pd
import numpy as np
prices = pd.DataFrame([[-0.33333333, -0.25343423, -0.1666666667],
[+0.23432323, +0.14285714, -0.0769230769],
[+0.42857143, +0.07692308, +0.1818181818]])
print(np.mean(prices, axis=0))
If I run this code, I'll get the following error:
如果我运行此代码，我将收到以下错误：
Traceback (most recent call last):
File "C:\Users\*****\Documents\Python\******\****.py", line 8, in <module>
print(np.mean(new, axis=0))
File "C:\Python33\lib\site-packages\numpy\core\fromnumeric.py", line 2711, in mean
return mean(axis=axis, dtype=dtype, out=out)
TypeError: mean() got an unexpected keyword argument 'dtype'
How can I fix that?
我该如何解决？
NOTE:here is an expected output: pd.DataFrame([0.1098537767, -0.0112180033, -0.0205905206])
注意：这是预期的输出：pd.DataFrame([0.1098537767, -0.0112180033, -0.0205905206])
回答by mechanical_meat
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html
>>> prices.mean(axis=0)
0 0.109854
1 -0.011218
2 -0.020591
dtype: float64
>>> type(prices.mean(axis=0))
<class 'pandas.core.series.Series'>
If you wanted a DataFrame instead of a Series:
如果你想要一个 DataFrame 而不是一个系列：
price_means = pd.DataFrame(prices.mean(axis=0))
