Hi I am getting the following error
'numpy.ndarray' object is not callable
when performing the calculation in the following manner
rolling_means = pd.rolling_mean(prices,20,min_periods=20)`
rolling_std = pd.rolling_std(prices, 20)`
#print rolling_means.head(20)
upper_band = rolling_means + (rolling_std)* 2
lower_band = rolling_means - (rolling_std)* 2
I am not sure how to resolve, can someone point me in right direction....
This question is related to
pandas
The error TypeError: 'numpy.ndarray' object is not callable means that you tried to call a numpy array as a function. We can reproduce the error like so in the repl:
In [16]: import numpy as np
In [17]: np.array([1,2,3])()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/home/user/<ipython-input-17-1abf8f3c8162> in <module>()
----> 1 np.array([1,2,3])()
TypeError: 'numpy.ndarray' object is not callable
If we are to assume that the error is indeed coming from the snippet of code that you posted (something that you should check,) then you must have reassigned either pd.rolling_mean or pd.rolling_std to a numpy array earlier in your code.
What I mean is something like this:
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: pd.rolling_mean(np.array([1,2,3]), 20, min_periods=5) # Works
Out[3]: array([ nan, nan, nan])
In [4]: pd.rolling_mean = np.array([1,2,3])
In [5]: pd.rolling_mean(np.array([1,2,3]), 20, min_periods=5) # Doesn't work anymore...
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/home/user/<ipython-input-5-f528129299b9> in <module>()
----> 1 pd.rolling_mean(np.array([1,2,3]), 20, min_periods=5) # Doesn't work anymore...
TypeError: 'numpy.ndarray' object is not callable
So, basically you need to search the rest of your codebase for pd.rolling_mean = ... and/or pd.rolling_std = ... to see where you may have overwritten them.
reload(pd) just before your snippet, which should make it run by restoring the value of pd to what you originally imported it as, but I still highly recommend that you try to find where you may have reassigned the given functions.
Source: Stackoverflow.com