You can use a list comprehension: The iterator enumerate(my_list) yields pairs (index, item) for each item in the list. Using i, x as loop variable target unpacks these pairs into the index i and the list item x. We filter down to all x that match our criterion, and select the indices i of these elements.
You are just supposed to provide the predict method with the same 2D array, but with one value that you want to process (or more). In short, you can just replace With And it should work. EDIT: This answer became popular so I thought I’d add a little more explanation about ML. The short version: we can … Read more
I am a beginner programmer and im not sure what this means… Index Error: list index out of range
Luckily, Python has this built-in 🙂 Update:Following your comment:
Unofficial Windows Binaries for Python Extension Packages you can find any python libs from here
Python tries to convert a byte-array (a bytes which it assumes to be a utf-8-encoded string) to a unicode string (str). This process of course is a decoding according to utf-8 rules. When it tries this, it encounters a byte sequence which is not allowed in utf-8-encoded strings (namely this 0xff at position 0). Since you did … Read more
From an efficiency perspective, you’re not going to beat For higher versions of Python use the following code: It’s performing raw string operations in C with a lookup table – there’s not much that will beat that but writing your own C code. If speed isn’t a worry, another option though is: This is faster … Read more
For identifying NaN values use boolean indexing: Then for removing all non-numeric values use to_numeric with parameter errors=’coerce’ – to replace non-numeric values to NaNs: And for remove all rows with NaNs in column x use dropna: Last convert values to ints:
I’m trying to loop over elements of an input string, and get them from a dictionary. What am I doing wrong?
To use np.concatenate, we need to extend the second array to 2D and then concatenate along axis=1 – Alternatively, we can use np.column_stack that takes care of it – Sample run – If b is such that its a 1D array of dtype=object with a shape of (1,), most probably all of the data is contained in the only element in it, we need to flatten it out before concatenating. For … Read more