id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
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scipy_io/7510_130_0.txt | This makes a lot of sense to me. In fact, for our project, we've tried to
avoid using ` matrix ` at all. Primarily because we sometimes have to do
elementwise multiplication. The separate operators for dot product and
elementwise multiplication is helpful. However, ` scipy.sparse ` seems pretty
committed to the matrix ... | |
scipy_io/844_96_0.txt | > xstr <- "/testdata/X.npz"
> Xscp <- scipy$sparse$load_npz(xstr)
Error in validObject(.Object) :
invalid class "dgCMatrix" object: invalid object for slot "Dim" in class "dgCMatrix": got class "numeric", should be or extend class "integer
```" | |
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scipy_io/7510_31_0.txt | # Saved searches | |
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scipy_io/7510_69_0.txt | It is confusing because different operations return either numpy arrays or
numpy matrices, and since [ we are working with
](https://github.com/greenelab/hetmech) arrays that are often inter-converted
between sparse and dense, it would be very helpful to have consistency in
output array type (ie. operations between spa... | |
scipy_io/7510_147_0.txt | * 👍 1 reaction | |
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scipy_io/844_65_0.txt | xstr <- "/keep/by_id/su92l-4zz18-jq2eftdx22eow6s/X.npz"
Xscp <- scipy$sparse$load_npz(xstr)
Xscp <- scipy$sparse$load_npz(xstr) | |
scipy_io/844_131_0.txt | Labels | |
scipy_io/sparsesavenpzhtml_7_0.txt | # save_npz | |
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scipy_io/844_1_0.txt | ## Navigation Menu | |
scipy_io/scipysparsesavenpzht_19_0.txt | **compressed** bool, optional | |
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scipy_io/7510_123_0.txt | array = numpy.array(data)
matrix = numpy.matrix(data)
sparse = csc_matrix(data) | |
scipy_io/7510_72_0.txt | import numpy as np
from scipy.sparse import csc_matrix | |
scipy_io/7510_90_0.txt | * ` numpy.array + scipy.sparse ` returns a ` numpy.array `
* ` numpy.matrix + scipy.sparse ` returns a ` numpy.matrix ` | |
scipy_io/844_59_0.txt | [
](/swzCuroverse) | |
scipy_io/844_108_0.txt | Sorry, something went wrong. | |
scipy_io/7510_155_0.txt | > array -= sparse converting to matrix is certainly a bug | |
scipy_io/7510_85_0.txt | Copy link | |
scipy_io/844_69_0.txt | locale:
[1] C | |
scipy_io/7510_34_0.txt | Query | |
scipy_io/7510_78_0.txt |
sp_mat == mat
>>> matrix([[ True, True],
[ True, True]], dtype=bool) | |
scipy_io/844_58_0.txt | ## Comments | |
scipy_io/scipysparsesavenpzht_17_0.txt | **matrix: spmatrix or sparray** | |
scipy_io/scipysparsesavenpzht_18_0.txt | The sparse matrix or array to save. Supported formats: ` csc ` , ` csr ` , `
bsr ` , ` dia ` or ` coo ` . | |
scipy_io/scipysparsesavenpzht_35_0.txt | [ __ | |
scipy_io/scipysparsesavenpzht_33_0.txt | >>> sparse_matrix
<2x3 sparse matrix of type '<class 'numpy.int64'>'
with 2 stored elements in Compressed Sparse Column format>
>>> sparse_matrix.toarray()
array([[0, 0, 3],
[4, 0, 0]], dtype=int64) | |
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scipy_io/7510_174_0.txt | --- | |
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scipy_io/sparsesavenpzhtml_8_0.txt | sparse. save_npz ( _ filename _ , _ matrix _ , _ compressed = True _ )
[ [source] ](../_modules/sparse/_io.html#save_npz) | |
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scipy_io/7510_135_0.txt | [ 
](/perimosocordiae) | |
scipy_io/7510_84_0.txt | [
](/dhimmel) | |
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scipy_io/7510_71_0.txt | ### Reproducing code example: | |
scipy_io/scipysparsesavenpzht_29_0.txt | Try it in your browser! | |
scipy_io/7510_41_0.txt | [ scipy ](/scipy) / **[ scipy ](/scipy/scipy) ** Public | |
scipy_io/7510_141_0.txt | We determine if the output is sparse without considering the contents of the
operands, based on the worst-case behavior. Thus, ` sparse - dense ` is always
dense, even if the particular dense operand happens to be mostly zeros. In the
case of dot products, the worst-case is that the dense operand has no zeros
and the s... | |
scipy_io/7510_49_0.txt | By clicking “Sign up for GitHub”, you agree to our [ terms of service
](https://docs.github.com/terms) and [ privacy statement
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related emails. | |
scipy_io/7510_120_0.txt | [ @perimosocordiae ](https://github.com/perimosocordiae) so it sounds like
goal is to imitate the type behavior of ` numpy.matrix ` . Let's work with the
following definitions: | |
scipy_io/7510_70_0.txt | It makes sense that operations between like types return the same type as the
input type. However, it would be nice if operations between numpy.arrays and
scipy.sparse matrices would return always the same array type. | |
scipy_io/844_134_0.txt | None yet | |
scipy_io/7510_5_0.txt | * Product | |
scipy_io/7510_57_0.txt | [ zietzm ](/zietzm) opened this issue Jun 20, 2017 · 7 comments | |
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scipy_io/7510_144_0.txt | --- | |
scipy_io/scipy_io_19_0.txt | [ SciPy v1.12.0 Manual ](../../index.html)
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scipy_io/7510_1_0.txt | ## Navigation Menu | |
scipy_io/scipysparsesavenpzht_13_0.txt | Save a sparse matrix or array to a file using ` .npz ` format. | |
scipy_io/844_35_0.txt | To see all available qualifiers, see our [ documentation
](https://docs.github.com/search-github/github-code-search/understanding-
github-code-search-syntax) . | |
scipy_io/7510_110_0.txt | * 👍 1 reaction | |
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scipy_io/844_139_0.txt | 2 participants | |
scipy_io/844_64_0.txt | library(reticulate)
scipy <- import("scipy")
np <- import("numpy") | |
scipy_io/7510_54_0.txt | [ zietzm ](/zietzm) opened this issue Jun 20, 2017 · 7 comments | |
scipy_io/844_51_0.txt | Jump to bottom | |
scipy_io/scipysparsesavenpzht_15_0.txt | **file** str or file-like object | |
scipy_io/7510_165_0.txt | As far as I know there aren't any open PRs along those lines yet. | |
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scipy_io/7510_125_0.txt | For the dot product case, I will use ` @ ` rather than ` * ` for clarity. `
array @ matrix ` and ` matrix @ array ` both return a matrix. Hence, ` array @
sparse ` and ` sparse @ array ` should return a matrix, but instead they
return an array. | |
scipy_io/844_125_0.txt | --- | |
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