How to read an array of integers from single line of input in python3
I want to read an array of integers from single line of input in python3.
For example: Read this array to a variable/list
arrays
NumPy chained comparison with two predicates
In NumPy, I can generate a boolean array like this:
Preserve custom attributes when pickling subclass of numpy array
I’ve created a subclass of numpy ndarray following the numpy documentation. In particular, I have added a custom attribute by modifying the code provided.
Formatting floats in a numpy array
If I have a numpy array like this: [2.15295647e+01, 8.12531501e+00, 3.97113829e+00, 1.00777250e+01] how can I move the decimal point and format the numbers so I end up with a numpy array like this: [21.53, 8.13, 3.97, 10.08] np.around(a, decimals=2) only gives me [2.15300000e+01, 8.13000000e+00, 3.97000000e+00, 1.00800000e+01] Which I don’t want and I haven’t found another … Read more
Fastest save and load options for a numpy array
I have a script that generates two-dimensional numpy arrays with dtype=float and shape on the order of (1e3, 1e6). Right now I’m using np.save and np.load to perform IO operations with the arrays. However, these functions take several seconds for each array. Are there faster methods for saving and loading the entire arrays (i.e., without making assumptions about their contents and reducing them)? I’m open to converting the arrays to another type before saving as long as the data are retained exactly.
Efficiently sorting a numpy array in descending order?
I am surprised this specific question hasn’t been asked before, but I really didn’t find it on SO nor on the documentation of np.sort.
load csv into 2D matrix with numpy for plotting
Given this CSV file:
What does dtype=object mean while creating a numpy array?
I was experimenting with numpy arrays and created a numpy array of strings:
Flattening a list of NumPy arrays?
It appears that I have data in the format of a list of NumPy arrays (type() = np.ndarray):
How to find the index of a value in 2d array in Python?
I need to figure out how I can find all the index of a value in a 2d numpy array.