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NumPy
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Articles
- NumPy: Read and write CSV files (np.loadtxt, np.genfromtxt, np.savetxt)
- Convert between NumPy array and Python list
- NumPy: astype() to change dtype of an array
- Matrix operations with NumPy in Python
- NumPy: Get the number of dimensions, shape, and size of ndarray
- NumPy: reshape() to change the shape of an array
- NumPy: Get and set values in an array using various indexing
- NumPy: Slicing ndarray
- NumPy: Split an array with np.split, np.vsplit, np.hsplit, etc.
- NumPy: Concatenate arrays with np.concatenate, np.stack, etc.
- NumPy: arange() and linspace() to generate evenly spaced values
- NumPy: Broadcasting rules and examples
- NumPy: Delete rows/columns from an array with np.delete()
- numpy.where(): Manipulate elements depending on conditions
- NumPy: Insert elements, rows, and columns into an array with np.insert()
- NumPy: append() to add values to an array
- NumPy: Create an array with the same value (np.zeros, np.ones, np.full)
- NumPy: Create an empty array (np.empty, np.empty_like)
- NumPy: Generate random numbers with np.random
- NumPy: Sum, mean, max, min for entire array, column/row-wise
- NumPy: Meaning of the axis parameter (0, 1, -1)
- NumPy: Functions ignoring NaN (np.nansum, np.nanmean, etc.)
- NumPy: Replace NaN (np.nan) using np.nan_to_num() and np.isnan()
- NumPy: Remove NaN (np.nan) from an array
- NumPy: Set the display format for ndarray
- NumPy: Set whether to print full or truncated ndarray
- NumPy: Count values in an array with conditions
- NumPy: Extract or delete elements, rows, and columns that satisfy the conditions
- NumPy: Save and load arrays in npy and npz files
- Check NumPy version: np.version
- NumPy: Round array elements (np.round, np.around, np.rint)
- NumPy: Round up/down array elements (np.floor, np.trunc, np.ceil)
- NumPy: Calculate the absolute value element-wise (np.abs, np.fabs)
- NumPy: Make arrays immutable (read-only) with the WRITEABLE attribute
- NumPy: Add new dimensions to an array (np.newaxis, np.expand_dims)
- NumPy: clip() to limit array values to min and max
- NumPy: Ellipsis (...) for ndarray
- NumPy: Transpose ndarray (swap rows and columns, rearrange axes)
- NumPy: Rotate array (np.rot90)
- NumPy: Flip array (np.flip, flipud, fliplr)
- NumPy: Views and copies of arrays
- NumPy: np.sign(), np.signbit(), np.copysign()
- NumPy: Flatten an array with ravel() and flatten()
- NumPy: squeeze() to remove dimensions of size 1 from an array
- NumPy: Compare two arrays element-wise
- NumPy: Calculate cumulative sum and product (np.cumsum, np.cumprod)
- How to fix "ValueError: The truth value ... is ambiguous" in NumPy, pandas
- Image processing with Python, NumPy
- Generate gradient image with Python, NumPy
- NumPy: Arrange ndarray in tiles with np.tile()
- NumPy: Trigonometric functions (sin, cos, tan, arcsin, arccos, arctan)
- Convert 1D array to 2D array in Python (numpy.ndarray, list)
- Method chaining across multiple lines in Python
- List vs. array vs. numpy.ndarray in Python
- Alpha blending and masking of images with Python, OpenCV, NumPy
- OpenCV, NumPy: Rotate and flip image
- Convert between pandas DataFrame/Series and NumPy array
- Binarize image with Python, NumPy, OpenCV
- Get image size (width, height) with Python, OpenCV, Pillow (PIL)
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