scipy.sparse.csr_matrix

谁借莪１个温暖的怀抱￠ 2022-05-17 05:35 199阅读 0赞

地址：[https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr\_matrix.html][https_docs.scipy.org_doc_scipy-0.18.1_reference_generated_scipy.sparse.csr_matrix.html]

# scipy.sparse.csr\_matrix #

*class *scipy.sparse.csr\_matrix(*arg1*, *shape=None*, *dtype=None*, *copy=False*)[\[source\]][source]

Compressed Sparse Row matrix

This can be instantiated in several ways:

csr\_matrix(D)

with a dense matrix or rank-2 ndarray D

csr\_matrix(S)

with another sparse matrix S (equivalent to S.tocsr())

csr\_matrix((M, N), \[dtype\])

to construct an empty matrix with shape (M, N) dtype is optional, defaulting to dtype=’d’.

csr\_matrix((data, (row\_ind, col\_ind)), \[shape=(M, N)\])

where data, row\_ind and col\_ind satisfy the relationship a\[row\_ind\[k\], col\_ind\[k\]\] = data\[k\].

csr\_matrix((data, indices, indptr), \[shape=(M, N)\])

is the standard CSR representation where the column indices for row i are stored in indices\[indptr\[i\]:indptr\[i+1\]\] and their corresponding values are stored in data\[indptr\[i\]:indptr\[i+1\]\]. If the shape parameter is not supplied, the matrix dimensions are inferred from the index arrays.

Notes

Sparse matrices can be used in arithmetic operations: they support addition, subtraction, multiplication, division, and matrix power.

Advantages of the CSR format

*  efficient arithmetic operations CSR + CSR, CSR \* CSR, etc.
 *  efficient row slicing
 *  fast matrix vector products

Disadvantages of the CSR format

*  slow column slicing operations (consider CSC)
 *  changes to the sparsity structure are expensive (consider LIL or DOK)

Examples

>>>

>>> import numpy as np
    >>> from scipy.sparse import csr_matrix
    >>> csr_matrix((3, 4), dtype=np.int8).toarray()
    array([[0, 0, 0, 0],
           [0, 0, 0, 0],
           [0, 0, 0, 0]], dtype=int8)

>>>

>>> row = np.array([0, 0, 1, 2, 2, 2])
    >>> col = np.array([0, 2, 2, 0, 1, 2])
    >>> data = np.array([1, 2, 3, 4, 5, 6])
    >>> csr_matrix((data, (row, col)), shape=(3, 3)).toarray()
    array([[1, 0, 2],
           [0, 0, 3],
           [4, 5, 6]])

>>>

>>> indptr = np.array([0, 2, 3, 6])
    >>> indices = np.array([0, 2, 2, 0, 1, 2])
    >>> data = np.array([1, 2, 3, 4, 5, 6])
    >>> csr_matrix((data, indices, indptr), shape=(3, 3)).toarray()
    array([[1, 0, 2],
           [0, 0, 3],
           [4, 5, 6]])

As an example of how to construct a CSR matrix incrementally, the following snippet builds a term-document matrix from texts:

>>>

>>> docs = [["hello", "world", "hello"], ["goodbye", "cruel", "world"]]
    >>> indptr = [0]
    >>> indices = []
    >>> data = []
    >>> vocabulary = {}
    >>> for d in docs:
    ...     for term in d:
    ...         index = vocabulary.setdefault(term, len(vocabulary))
    ...         indices.append(index)
    ...         data.append(1)
    ...     indptr.append(len(indices))
    ...
    >>> csr_matrix((data, indices, indptr), dtype=int).toarray()
    array([[2, 1, 0, 0],
           [0, 1, 1, 1]])

Attributes

<table> 
 <tbody> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.nnz.html#scipy.sparse.csr_matrix.nnz" rel="nofollow">nnz</a></td> 
   <td>Number of stored values, including explicit zeros.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.has_sorted_indices.html#scipy.sparse.csr_matrix.has_sorted_indices" rel="nofollow">has_sorted_indices</a></td> 
   <td>Determine whether the matrix has sorted indices</td> 
  </tr> 
 </tbody> 
</table>

<table> 
 <tbody> 
  <tr> 
   <td>dtype</td> 
   <td>(dtype) Data type of the matrix</td> 
  </tr> 
  <tr> 
   <td>shape</td> 
   <td>(2-tuple) Shape of the matrix</td> 
  </tr> 
  <tr> 
   <td>ndim</td> 
   <td>(int) Number of dimensions (this is always 2)</td> 
  </tr> 
  <tr> 
   <td>data</td> 
   <td>CSR format data array of the matrix</td> 
  </tr> 
  <tr> 
   <td>indices</td> 
   <td>CSR format index array of the matrix</td> 
  </tr> 
  <tr> 
   <td>indptr</td> 
   <td>CSR format index pointer array of the matrix</td> 
  </tr> 
 </tbody> 
</table>

Methods

<table> 
 <tbody> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.arcsin.html#scipy.sparse.csr_matrix.arcsin" rel="nofollow">arcsin</a>()</td> 
   <td>Element-wise arcsin.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.arcsinh.html#scipy.sparse.csr_matrix.arcsinh" rel="nofollow">arcsinh</a>()</td> 
   <td>Element-wise arcsinh.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.arctan.html#scipy.sparse.csr_matrix.arctan" rel="nofollow">arctan</a>()</td> 
   <td>Element-wise arctan.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.arctanh.html#scipy.sparse.csr_matrix.arctanh" rel="nofollow">arctanh</a>()</td> 
   <td>Element-wise arctanh.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.asformat.html#scipy.sparse.csr_matrix.asformat" rel="nofollow">asformat</a>(format)</td> 
   <td>Return this matrix in a given sparse format</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.asfptype.html#scipy.sparse.csr_matrix.asfptype" rel="nofollow">asfptype</a>()</td> 
   <td>Upcast matrix to a floating point format (if necessary)</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.astype.html#scipy.sparse.csr_matrix.astype" rel="nofollow">astype</a>(t)</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.ceil.html#scipy.sparse.csr_matrix.ceil" rel="nofollow">ceil</a>()</td> 
   <td>Element-wise ceil.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.check_format.html#scipy.sparse.csr_matrix.check_format" rel="nofollow">check_format</a>([full_check])</td> 
   <td>check whether the matrix format is valid</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.conj.html#scipy.sparse.csr_matrix.conj" rel="nofollow">conj</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.conjugate.html#scipy.sparse.csr_matrix.conjugate" rel="nofollow">conjugate</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.copy.html#scipy.sparse.csr_matrix.copy" rel="nofollow">copy</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.count_nonzero.html#scipy.sparse.csr_matrix.count_nonzero" rel="nofollow">count_nonzero</a>()</td> 
   <td>Number of non-zero entries, equivalent to</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.deg2rad.html#scipy.sparse.csr_matrix.deg2rad" rel="nofollow">deg2rad</a>()</td> 
   <td>Element-wise deg2rad.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.diagonal.html#scipy.sparse.csr_matrix.diagonal" rel="nofollow">diagonal</a>()</td> 
   <td>Returns the main diagonal of the matrix</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.dot.html#scipy.sparse.csr_matrix.dot" rel="nofollow">dot</a>(other)</td> 
   <td>Ordinary dot product</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.eliminate_zeros.html#scipy.sparse.csr_matrix.eliminate_zeros" rel="nofollow">eliminate_zeros</a>()</td> 
   <td>Remove zero entries from the matrix</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.expm1.html#scipy.sparse.csr_matrix.expm1" rel="nofollow">expm1</a>()</td> 
   <td>Element-wise expm1.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.floor.html#scipy.sparse.csr_matrix.floor" rel="nofollow">floor</a>()</td> 
   <td>Element-wise floor.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.getH.html#scipy.sparse.csr_matrix.getH" rel="nofollow">getH</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.get_shape.html#scipy.sparse.csr_matrix.get_shape" rel="nofollow">get_shape</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.getcol.html#scipy.sparse.csr_matrix.getcol" rel="nofollow">getcol</a>(i)</td> 
   <td>Returns a copy of column i of the matrix, as a (m x 1) CSR matrix (column vector).</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.getformat.html#scipy.sparse.csr_matrix.getformat" rel="nofollow">getformat</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.getmaxprint.html#scipy.sparse.csr_matrix.getmaxprint" rel="nofollow">getmaxprint</a>()</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.getnnz.html#scipy.sparse.csr_matrix.getnnz" rel="nofollow">getnnz</a>([axis])</td> 
   <td>Number of stored values, including explicit zeros.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.getrow.html#scipy.sparse.csr_matrix.getrow" rel="nofollow">getrow</a>(i)</td> 
   <td>Returns a copy of row i of the matrix, as a (1 x n) CSR matrix (row vector).</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.log1p.html#scipy.sparse.csr_matrix.log1p" rel="nofollow">log1p</a>()</td> 
   <td>Element-wise log1p.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.max.html#scipy.sparse.csr_matrix.max" rel="nofollow">max</a>([axis,&nbsp;out])</td> 
   <td>Return the maximum of the matrix or maximum along an axis.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.maximum.html#scipy.sparse.csr_matrix.maximum" rel="nofollow">maximum</a>(other)</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.mean.html#scipy.sparse.csr_matrix.mean" rel="nofollow">mean</a>([axis,&nbsp;dtype,&nbsp;out])</td> 
   <td>Compute the arithmetic mean along the specified axis.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.min.html#scipy.sparse.csr_matrix.min" rel="nofollow">min</a>([axis,&nbsp;out])</td> 
   <td>Return the minimum of the matrix or maximum along an axis.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.minimum.html#scipy.sparse.csr_matrix.minimum" rel="nofollow">minimum</a>(other)</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.multiply.html#scipy.sparse.csr_matrix.multiply" rel="nofollow">multiply</a>(other)</td> 
   <td>Point-wise multiplication by another matrix, vector, or scalar.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.nonzero.html#scipy.sparse.csr_matrix.nonzero" rel="nofollow">nonzero</a>()</td> 
   <td>nonzero indices</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.power.html#scipy.sparse.csr_matrix.power" rel="nofollow">power</a>(n[,&nbsp;dtype])</td> 
   <td>This function performs element-wise power.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.prune.html#scipy.sparse.csr_matrix.prune" rel="nofollow">prune</a>()</td> 
   <td>Remove empty space after all non-zero elements.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.rad2deg.html#scipy.sparse.csr_matrix.rad2deg" rel="nofollow">rad2deg</a>()</td> 
   <td>Element-wise rad2deg.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.reshape.html#scipy.sparse.csr_matrix.reshape" rel="nofollow">reshape</a>(shape[,&nbsp;order])</td> 
   <td>Gives a new shape to a sparse matrix without changing its data.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.rint.html#scipy.sparse.csr_matrix.rint" rel="nofollow">rint</a>()</td> 
   <td>Element-wise rint.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.set_shape.html#scipy.sparse.csr_matrix.set_shape" rel="nofollow">set_shape</a>(shape)</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.setdiag.html#scipy.sparse.csr_matrix.setdiag" rel="nofollow">setdiag</a>(values[,&nbsp;k])</td> 
   <td>Set diagonal or off-diagonal elements of the array.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sign.html#scipy.sparse.csr_matrix.sign" rel="nofollow">sign</a>()</td> 
   <td>Element-wise sign.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sin.html#scipy.sparse.csr_matrix.sin" rel="nofollow">sin</a>()</td> 
   <td>Element-wise sin.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sinh.html#scipy.sparse.csr_matrix.sinh" rel="nofollow">sinh</a>()</td> 
   <td>Element-wise sinh.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sort_indices.html#scipy.sparse.csr_matrix.sort_indices" rel="nofollow">sort_indices</a>()</td> 
   <td>Sort the indices of this matrix&nbsp;<em>in place</em></td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sorted_indices.html#scipy.sparse.csr_matrix.sorted_indices" rel="nofollow">sorted_indices</a>()</td> 
   <td>Return a copy of this matrix with sorted indices</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sqrt.html#scipy.sparse.csr_matrix.sqrt" rel="nofollow">sqrt</a>()</td> 
   <td>Element-wise sqrt.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sum.html#scipy.sparse.csr_matrix.sum" rel="nofollow">sum</a>([axis,&nbsp;dtype,&nbsp;out])</td> 
   <td>Sum the matrix elements over a given axis.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.sum_duplicates.html#scipy.sparse.csr_matrix.sum_duplicates" rel="nofollow">sum_duplicates</a>()</td> 
   <td>Eliminate duplicate matrix entries by adding them together</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tan.html#scipy.sparse.csr_matrix.tan" rel="nofollow">tan</a>()</td> 
   <td>Element-wise tan.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tanh.html#scipy.sparse.csr_matrix.tanh" rel="nofollow">tanh</a>()</td> 
   <td>Element-wise tanh.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.toarray.html#scipy.sparse.csr_matrix.toarray" rel="nofollow">toarray</a>([order,&nbsp;out])</td> 
   <td>See the docstring for&nbsp;<a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.spmatrix.toarray.html#scipy.sparse.spmatrix.toarray" rel="nofollow">spmatrix.toarray</a>.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tobsr.html#scipy.sparse.csr_matrix.tobsr" rel="nofollow">tobsr</a>([blocksize,&nbsp;copy])</td> 
   <td>Convert this matrix to Block Sparse Row format.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tocoo.html#scipy.sparse.csr_matrix.tocoo" rel="nofollow">tocoo</a>([copy])</td> 
   <td>Convert this matrix to COOrdinate format.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tocsc.html#scipy.sparse.csr_matrix.tocsc" rel="nofollow">tocsc</a>([copy])</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tocsr.html#scipy.sparse.csr_matrix.tocsr" rel="nofollow">tocsr</a>([copy])</td> 
   <td>Convert this matrix to Compressed Sparse Row format.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.todense.html#scipy.sparse.csr_matrix.todense" rel="nofollow">todense</a>([order,&nbsp;out])</td> 
   <td>Return a dense matrix representation of this matrix.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.todia.html#scipy.sparse.csr_matrix.todia" rel="nofollow">todia</a>([copy])</td> 
   <td>Convert this matrix to sparse DIAgonal format.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.todok.html#scipy.sparse.csr_matrix.todok" rel="nofollow">todok</a>([copy])</td> 
   <td>Convert this matrix to Dictionary Of Keys format.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.tolil.html#scipy.sparse.csr_matrix.tolil" rel="nofollow">tolil</a>([copy])</td> 
   <td>Convert this matrix to LInked List format.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.transpose.html#scipy.sparse.csr_matrix.transpose" rel="nofollow">transpose</a>([axes,&nbsp;copy])</td> 
   <td>Reverses the dimensions of the sparse matrix.</td> 
  </tr> 
  <tr> 
   <td><a href="https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.trunc.html#scipy.sparse.csr_matrix.trunc" rel="nofollow">trunc</a>()</td> 
   <td>Element-wise trunc.</td> 
  </tr> 
 </tbody> 
</table>

[https_docs.scipy.org_doc_scipy-0.18.1_reference_generated_scipy.sparse.csr_matrix.html]: https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.sparse.csr_matrix.html
[source]: http://github.com/scipy/scipy/blob/v0.18.1/scipy/sparse/csr.py#L23-L456

scipy.sparse.csr_matrix

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