When you say You are implicitly asking Python to convert (a[‘x’]==1) and (a[‘y’]==10) to Boolean values. NumPy arrays (of length greater than 1) and Pandas objects such as Series do not have a Boolean value — in other words, they raise ValueError: The truth value of an array is ambiguous. Use a.empty, a.any() or a.all(). when used as a … Read more
A few comments: The Nyquist frequency is half the sampling rate. You are working with regularly sampled data, so you want a digital filter, not an analog filter. This means you should not use analog=True in the call to butter, and you should use scipy.signal.freqz (not freqs) to generate the frequency response. One goal of … Read more
There are many fine ways to get this done, which others have already suggestioned. Following along the “get Excel data via SQL track”, here are some pointers. Excel has the “Data Connection Wizard” which allows you to import or link from another data source or even within the very same Excel file. As part of Microsoft Office … Read more
Never ever extend Object.prototype. Horrible things will happen to your code. Things will break. You’re extending all object types, including object literals. Here’s a quick example you can try: Instead create a function that you pass the object.
The or and and python statements require truth-values. For pandas these are considered ambiguous so you should use “bitwise” | (or) or & (and) operations: These are overloaded for these kind of datastructures to yield the element-wise or (or and). Just to add some more explanation to this statement: The exception is thrown when you want to get the bool of a pandas.Series: What you hit was a place where the operator implicitly converted … Read more
The or and and python statements require truth-values. For pandas these are considered ambiguous so you should use “bitwise” | (or) or & (and) operations: These are overloaded for these kind of datastructures to yield the element-wise or (or and). Just to add some more explanation to this statement: The exception is thrown when you want to get the bool of a pandas.Series: What you hit was a place where the operator implicitly converted … Read more