NumPy-Personal-Archive

NumPy learning and sharing

np_creation.py contains,

1. np array creation
2. type finding (type(array))

np_feature.py contains,

1. dimension finding (array.ndim)
2. shape finding (array.shape)
3. size funding (array.size)
4. datatype object finding (array.dtype)

np_typecast.py contains,

1. changing type of np array

np_predefined_matrix.py contains,

1. to create a initialization array of zeros(np.zeros)
2. to create an array of desired constant values (np.full)

np_arange_linspace.py contains,

1. implementing range in array (np.arange)
2. print desired number of values within a limit (np.linspace)

np_shaping.py contains,

1. reshaping array (np.reshape)
2. flattening array (np.flatten)

np_list.py contains,

1. conversion of list to np array

np_tuple.py contains,

1. conversion of tuple to np array

np_random.py contains,

1. np.random.rand implementation
2. np.random.random implementation

transpose.py contains,

1. to find transpose of matrix

np_data_strides.py contains,

1. explains regarding memory allocation

np_ones_empty.py contains,

1. to create an empty multi dimensional array
2. to create an array full of ones

np_uniform.py contains,

1. to check uniform distribution over random samples for weight matrix in neural networks

np_binomial.py contains,

1. to check binomial distribution over random samples for weight matrix in neural networks

np_id.py contains,

1. use of np.identity

np_eye.py contains,

1. use of np.eye

np_load.py contains,

1. to load data from a file as np array

np_genfromtxt contains,

1. the main usage of genfromtxt

np_saving.ipynb contains,

1. how to save np array to different file formats

np_sin.ipynb contains,

1. sin value angle operations

np_itemsize.py contains,

1. how itemsize works on different types in byte format

np_cos.ipynb contains,

1. cos value angle operations

np_tan.ipynb contains,

1. tan operations in numpy

np_geomspace.ipynb contains,

1. geomspace operations and parameters

np_logspace.ipynb contains,

1. logspace operations and parameters

np_max_min.ipynb contains,

1. max and min on np arrays

np_slice.ipynb contains,

1. how to slice an array

np_2d_slice.ipynb contains,

1. how to do 2d slicing

np_round.ipynb contains,

1. around in numpy
2. round in numpy

np_rad_deg.ipynb contains,

1. radians usage
2. degrees usage

np_rad2deg.ipynb contains,

1. rad2deg in numpy
2. deg2rad in numpy

np_datetime.ipynb contains,

1. date time operations in numpy

np_isnan.ipynb contains,

1. checking values with infinity using nan

np_pad.ipynb contains,

1. padding operations and modes in arrays

np_repeat.ipynb contains,

1. repitition of arrays

np_tile.ipynb contains,

1. tiling an array

np_verstack.ipynb contains,

1. vertical stack creation using arrays

np_horstack.ipynb contains,

1. horizontal stack creation using arrays

np_rev_row_col.ipynb contains,

1. reversing rows and reversing columns

np_setops.ipynb contains,

1. union,intersection,set difference of numpy arrays