View source for Convert other data into numpy arrays e.g. asarray

== The goal ==
Questions to [mailto:davrot@uni-bremen.de David Rotermund]

== [https://numpy.org/doc/stable/reference/generated/numpy.asarray.html numpy.asarray] ==
<syntaxhighlight lang="python">numpy.asarray(a, dtype=None, order=None, *, like=None)</syntaxhighlight>The importance of '''asarray''':<blockquote>Convert the input to an array.</blockquote><syntaxhighlight lang="python">import numpy as np


a_list = [[1, 2], [3, 4]]
a_np = np.asarray(a_list)

w = np.asarray(1)

print(w.sum())  # -> 1
print(a_np.sum())  # -> 10
print(a_np > 2)

print(1.sum()) # SyntaxError: invalid decimal literal
print(a_list.sum())  # AttributeError: 'list' object has no attribute 'sum'
print(a_list > 2) # TypeError: '>' not supported between instances of 'list' and 'int'</syntaxhighlight>Output:<syntaxhighlight lang="python">[[False False]
 [ True  True]]</syntaxhighlight>

== [https://numpy.org/doc/stable/reference/generated/numpy.fromiter.html numpy.fromiter] ==
'''This is an optional topic!'''<syntaxhighlight lang="python">numpy.fromiter(iter, dtype, count=-1, *, like=None)</syntaxhighlight><blockquote>Create a new 1-dimensional array from an iterable object.</blockquote>

== [https://numpy.org/doc/stable/reference/generated/numpy.fromfunction.html numpy.fromfunction] ==
'''This is an optional topic!'''<syntaxhighlight lang="python">numpy.fromfunction(function, shape, *, dtype=<class 'float'>, like=None, **kwargs)[source]</syntaxhighlight><blockquote>Construct an array by executing a function over each coordinate.

The resulting array therefore has a value fn(x, y, z) at coordinate (x, y, z).</blockquote>

== [https://numpy.org/doc/stable/reference/generated/numpy.array.html numpy.array] ==
'''This is an optional topic!'''

Don’t confuse '''asarray''' with '''array'''. '''array''' can be used to put a numpy structure around data. '''asarray''' converts the data into a numpy array. (As far as I understand…). Thus normally you don’t need to touch '''array'''.<syntaxhighlight lang="python">numpy.array(object, dtype=None, *, copy=True, order='K', subok=False, ndmin=0, like=None)</syntaxhighlight><blockquote>Create an array.</blockquote>