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
Since yesterday I’ve had this error when I try to import packages on anaconda : ImportError: Missing required dependencies [‘numpy’] I have tried un-installing Anaconda and Python, switching to Python 2.7 but nothing works it’s still the same error, here is the code I get : Any help is really appreciated thanks !
I am trying to multiply a vector(3 by 1) by its transpose(1 by 3). I get a (3 by 3) array but I cannot get its inverse. Any idea why?
This is called the “shape” in NumPy, and can be requested via the .shape attribute: If you prefer a function, you could also use numpy.shape(a).
Non-numpy way: Use collections.Counter;
I’m trying to run this program But I’m having a problem with numpy, I’m using pyschopy along with opencv. The problem I keep getting is this error report: RuntimeError: module compiled against API version 7 but this version of numpy is 6 Traceback (most recent call last): File “C:\Users\John\Documents\EyeTracking\Programs\GetImage.py”, line 1, in ImportError: numpy.core.multiarray failed … Read more
You are stacking 1D arrays as columns to make a 2D array. So, all of the arrays passed to concatenate must have shape (n, ), where the value of n must be the same for all your arguments. Clearly, in your case this does not happen. Find which argument(s) doesn’t fit and remove it.
np.arange(2) gives array([0, 1]), so only two values. If you try to plot three values (in y1 or y2) against this, that won’t work and it will throw the ValueError (telling you exactly this): Try using np.arange(3).
I got this issue on Rasberry PI and found that the root cause was missing library: Then it takes few minute to google the required library source: I have not checked the solution on any other Linux-es but likely the same method should be applicable. So try to import the faulty library first and see … Read more
df.to_numpy() is better than df.values, here’s why.* It’s time to deprecate your usage of values and as_matrix(). pandas v0.24.0 introduced two new methods for obtaining NumPy arrays from pandas objects: to_numpy(), which is defined on Index, Series, and DataFrame objects, and array, which is defined on Index and Series objects only. If you visit the v0.24 docs for .values, you will see a big red warning that says: Warning: We recommend … Read more