_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_18700 | The uppercase letters 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'. This value is not locale-dependent and will not change. | |
doc_18701 | Signals the start of an element in namespace mode. The name parameter contains the name of the element type as a (uri,
localname) tuple, the qname parameter contains the raw XML 1.0 name used in the source document, and the attrs parameter holds an instance of the AttributesNS interface (see The AttributesNS Interface)... | |
doc_18702 |
Fit the local outlier factor detector from the training dataset. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features) or (n_samples, n_samples) if metric=’precomputed’
Training data.
yIgnored
Not used, present for API consistency by convention. Returns
selfLocalOutlierFactor
The ... | |
doc_18703 |
Dictionary of global attributes of this dataset. Warning attrs is experimental and may change without warning. See also DataFrame.flags
Global flags applying to this object. | |
doc_18704 |
Alias for set_antialiased. | |
doc_18705 | Create a shared threading.Semaphore object and return a proxy for it. | |
doc_18706 | The paginator class to be used for pagination. By default, django.core.paginator.Paginator is used. If the custom paginator class doesn’t have the same constructor interface as django.core.paginator.Paginator, you will also need to provide an implementation for get_paginator(). | |
doc_18707 |
Make a violin plot. Make a violin plot for each column of dataset or each vector in sequence dataset. Each filled area extends to represent the entire data range, with optional lines at the mean, the median, the minimum, the maximum, and user-specified quantiles. Parameters
datasetArray or a sequence of vectors.
... | |
doc_18708 |
Return whether units are set on any axis. | |
doc_18709 |
Alias for set_linestyle. | |
doc_18710 | types.LambdaType
The type of user-defined functions and functions created by lambda expressions. Raises an auditing event function.__new__ with argument code. The audit event only occurs for direct instantiation of function objects, and is not raised for normal compilation. | |
doc_18711 |
Draw an RGBA image. Parameters
gcGraphicsContextBase
A graphics context with clipping information.
xscalar
The distance in physical units (i.e., dots or pixels) from the left hand side of the canvas.
yscalar
The distance in physical units (i.e., dots or pixels) from the bottom side of the canvas.
im(N... | |
doc_18712 | See Migration guide for more details. tf.compat.v1.raw_ops.MapUnstage
tf.raw_ops.MapUnstage(
key, indices, dtypes, capacity=0, memory_limit=0, container='',
shared_name='', name=None
)
from the underlying container. If the underlying container does not contain this key, the op will block until it does.
... | |
doc_18713 | The HTTP status code for the response. Unless reason_phrase is explicitly set, modifying the value of status_code outside the constructor will also modify the value of reason_phrase. | |
doc_18714 | Signals the end of an element in namespace mode. The name parameter contains the name of the element type, just as with the startElementNS() method, likewise the qname parameter. | |
doc_18715 |
Bases: matplotlib.backend_bases.LocationEvent A mouse event ('button_press_event', 'button_release_event', 'scroll_event', 'motion_notify_event'). A MouseEvent has a number of special attributes in addition to those defined by the parent Event and LocationEvent classes. Examples def on_press(event):
print('you pr... | |
doc_18716 |
Add a centered supxlabel to the figure. Parameters
tstr
The supxlabel text.
xfloat, default: 0.5
The x location of the text in figure coordinates.
yfloat, default: 0.01
The y location of the text in figure coordinates.
horizontalalignment, ha{'center', 'left', 'right'}, default: center
The horizonta... | |
doc_18717 | The URI or URL that triggered the error. | |
doc_18718 |
Bases: matplotlib.patches.Rectangle A cell is a Rectangle with some associated Text. As a user, you'll most likely not creates cells yourself. Instead, you should use either the table factory function or Table.add_cell. Parameters
xy2-tuple
The position of the bottom left corner of the cell.
widthfloat
The ... | |
doc_18719 | See Migration guide for more details. tf.compat.v1.data.experimental.to_variant
tf.data.experimental.to_variant(
dataset
)
Args
dataset A tf.data.Dataset.
Returns A scalar tf.variant tensor representing the given dataset. | |
doc_18720 |
Set the artist offset transform. Parameters
transOffsetTransform | |
doc_18721 |
Returns a copy of the calling offset object with n=1 and all other attributes equal. | |
doc_18722 |
Find artist objects. Recursively find all Artist instances contained in the artist. Parameters
match
A filter criterion for the matches. This can be
None: Return all objects contained in artist. A function with signature def match(artist: Artist) -> bool. The result will only contain artists for which the funct... | |
doc_18723 | Renders a template from the given template source string with the given context. Template variables will be autoescaped. Parameters
source (str) – the source code of the template to be rendered
context (Any) – the variables that should be available in the context of the template. Return type
str | |
doc_18724 |
dist_autograd_ctx_id (int, optional) – The distributed autograd context id for which we should retrieve the gradients (default: -1).
retain_graph (bool, optional) – If False, the graph used to compute the grad will be freed. Note that in nearly all cases setting this option to True is not needed and often can be wor... | |
doc_18725 | Sent with a preflight request to indicate which method will be used for the cross origin request. Set access_control_allow_methods on the response to indicate which methods are allowed. | |
doc_18726 |
Set the artist transform. Parameters
tTransform | |
doc_18727 |
Compute indexer and mask for new index given the current index. The indexer should be then used as an input to ndarray.take to align the current data to the new index. Parameters
target:Index
Returns
indexer:np.ndarray[np.intp]
Integers from 0 to n - 1 indicating that the index at these positions matches ... | |
doc_18728 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_18729 |
Return the decision path in the tree. New in version 0.18. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is provided to a sparse csr_matrix.
check_inputbool, default=True
Allow to bypa... | |
doc_18730 |
Return a default list of artists that are used for the bounding box calculation. Artists are excluded either by not being visible or artist.set_in_layout(False). | |
doc_18731 | Get additional version information from the Windows Registry and return a tuple (release, version, csd, ptype) referring to OS release, version number, CSD level (service pack) and OS type (multi/single processor). As a hint: ptype is 'Uniprocessor Free' on single processor NT machines and 'Multiprocessor Free' on mult... | |
doc_18732 | Casts this storage to char type | |
doc_18733 |
Return self>value. | |
doc_18734 |
Number of array dimensions. Examples >>> x = np.array([1, 2, 3])
>>> x.ndim
1
>>> y = np.zeros((2, 3, 4))
>>> y.ndim
3 | |
doc_18735 | tf.distribute.experimental.partitioners.MaxSizePartitioner(
max_shard_bytes, max_shards=None, bytes_per_string=16
)
This partitioner ensures each shard has at most max_shard_bytes, and tries to allocate as few shards as possible, i.e., keeping shard size as large as possible. If the partitioner hits the max_shards... | |
doc_18736 |
Return True if any value in the group is truthful, else False. Parameters
skipna:bool, default True
Flag to ignore nan values during truth testing. Returns
Series or DataFrame
DataFrame or Series of boolean values, where a value is True if any element is True within its respective group, False otherwise. ... | |
doc_18737 |
The imaginary part of the scalar. | |
doc_18738 | Fill the main diagonal of a tensor that has at least 2-dimensions. When dims>2, all dimensions of input must be of equal length. This function modifies the input tensor in-place, and returns the input tensor. Parameters
fill_value (Scalar) – the fill value
wrap (bool) – the diagonal ‘wrapped’ after N columns for t... | |
doc_18739 | Return the object that should be used as the wsgi.errors stream. The default implementation just returns sys.stderr. | |
doc_18740 |
Mixin class for all classifiers in scikit-learn. Methods
score(X, y[, sample_weight]) Return the mean accuracy on the given test data and labels.
score(X, y, sample_weight=None) [source]
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy whic... | |
doc_18741 | The string passed to match() or search(). | |
doc_18742 | A message with MH-specific behaviors. Parameter message has the same meaning as with the Message constructor. MH messages do not support marks or flags in the traditional sense, but they do support sequences, which are logical groupings of arbitrary messages. Some mail reading programs (although not the standard mh and... | |
doc_18743 |
Return the url. | |
doc_18744 | A comparison of two or more values. left is the first value in the comparison, ops the list of operators, and comparators the list of values after the first element in the comparison. >>> print(ast.dump(ast.parse('1 <= a < 10', mode='eval'), indent=4))
Expression(
body=Compare(
left=Constant(value=1),
... | |
doc_18745 | Convert the path component path from a percent-encoded URL to the local syntax for a path. This does not accept a complete URL. This function uses unquote() to decode path. | |
doc_18746 |
Return the values (min, max) that are mapped to the colormap limits. | |
doc_18747 |
Return a legend handler from legend_handler_map that corresponds to orig_handler. legend_handler_map should be a dictionary object (that is returned by the get_legend_handler_map method). It first checks if the orig_handle itself is a key in the legend_handler_map and return the associated value. Otherwise, it checks... | |
doc_18748 | Create and return an attribute node. This method does not associate the attribute node with any particular element. You must use setAttributeNode() on the appropriate Element object to use the newly created attribute instance. | |
doc_18749 | Read until a given byte string, expected, is encountered or until timeout seconds have passed. When no match is found, return whatever is available instead, possibly empty bytes. Raise EOFError if the connection is closed and no cooked data is available. | |
doc_18750 | See Migration guide for more details. tf.compat.v1.raw_ops.AssertCardinalityDataset
tf.raw_ops.AssertCardinalityDataset(
input_dataset, cardinality, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
cardinality A Tensor of type int64.
output_types A list o... | |
doc_18751 | This is identical to m.group(g). This allows easier access to an individual group from a match: >>> m = re.match(r"(\w+) (\w+)", "Isaac Newton, physicist")
>>> m[0] # The entire match
'Isaac Newton'
>>> m[1] # The first parenthesized subgroup.
'Isaac'
>>> m[2] # The second parenthesized subgroup.
'New... | |
doc_18752 | An asynchronous context manager, similar to ExitStack, that supports combining both synchronous and asynchronous context managers, as well as having coroutines for cleanup logic. The close() method is not implemented, aclose() must be used instead.
enter_async_context(cm)
Similar to enter_context() but expects an a... | |
doc_18753 | Represents entries in the Binary table; inserting such an object using add_data() reads the file named filename into the table. | |
doc_18754 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_18755 |
Create a quantized embedding_bag module from a float module Parameters
mod (Module) – a float module, either produced by torch.quantization utilities or provided by user | |
doc_18756 | Returns None as extension modules lack a code object. | |
doc_18757 | alias of flask.json.JSONDecoder | |
doc_18758 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceSparseApplyAdagradV2
tf.raw_ops.ResourceSparseApplyAdagradV2(
var, accum, lr, epsilon, grad, indices, use_locking=False, update_slots=True,
name=None
)
That is for rows we have grad for, we update var and accum as follows: accum += grad * gra... | |
doc_18759 |
Return the font full name, e.g., 'Times-Roman'. | |
doc_18760 | This is a nonstandard shortcut that creates a cursor object by calling the cursor() method, calls the cursor’s executescript() method with the given sql_script, and returns the cursor. | |
doc_18761 | Remove attribute attr from the “background” set applied to all writes to the current window. | |
doc_18762 |
Set whether the artist uses clipping. When False artists will be visible outside of the axes which can lead to unexpected results. Parameters
bbool | |
doc_18763 | Return the process group associated with the terminal given by fd (an open file descriptor as returned by os.open()). Availability: Unix. | |
doc_18764 | Something other than whitespace occurred after the document element. | |
doc_18765 |
Alias for get_linestyle. | |
doc_18766 |
Remove a callback based on its observer id. See also add_callback | |
doc_18767 | Copy message_set messages onto end of new_mailbox. | |
doc_18768 |
Return a Path for the alternate part of the marker. For unfilled markers, this is None; for filled markers, this is the area to be drawn with markerfacecoloralt. | |
doc_18769 |
Default NA value to use for this type. This is used in e.g. ExtensionArray.take. This should be the user-facing “boxed” version of the NA value, not the physical NA value for storage. e.g. for JSONArray, this is an empty dictionary. | |
doc_18770 |
Apply transforms, and predict_log_proba of the final estimator Parameters
Xiterable
Data to predict on. Must fulfill input requirements of first step of the pipeline. Returns
y_scorearray-like of shape (n_samples, n_classes) | |
doc_18771 |
Display an array as a matrix in a new figure window. The origin is set at the upper left hand corner and rows (first dimension of the array) are displayed horizontally. The aspect ratio of the figure window is that of the array, unless this would make an excessively short or narrow figure. Tick labels for the xaxis a... | |
doc_18772 |
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_18773 | Set the window’s background. A window’s background consists of a character and any combination of attributes. The attribute part of the background is combined (OR’ed) with all non-blank characters that are written into the window. Both the character and attribute parts of the background are combined with the blank char... | |
doc_18774 |
Get the name of the character, i.e., ';' is 'semicolon'. | |
doc_18775 | Warn if cookie headers are larger than this many bytes. Defaults to 4093. Larger cookies may be silently ignored by browsers. Set to 0 to disable the warning. | |
doc_18776 |
Create a new DataFrame from a scipy sparse matrix. New in version 0.25.0. Parameters
data:scipy.sparse.spmatrix
Must be convertible to csc format.
index, columns:Index, optional
Row and column labels to use for the resulting DataFrame. Defaults to a RangeIndex. Returns
DataFrame
Each column of the D... | |
doc_18777 | Returns a list of all hyperparameter specifications. | |
doc_18778 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_18779 | See Migration guide for more details. tf.compat.v1.raw_ops.OptionalFromValue
tf.raw_ops.OptionalFromValue(
components, name=None
)
Args
components A list of Tensor objects.
name A name for the operation (optional).
Returns A Tensor of type variant. | |
doc_18780 | Return the socket’s own address. This is useful to find out the port number of an IPv4/v6 socket, for instance. (The format of the address returned depends on the address family — see above.) | |
doc_18781 | Specify which protocols the socket should advertise during the SSL/TLS handshake. It should be a list of ASCII strings, like ['http/1.1',
'spdy/2'], ordered by preference. The selection of a protocol will happen during the handshake, and will play out according to RFC 7301. After a successful handshake, the SSLSocket.s... | |
doc_18782 | Returns a new GEOSGeometry, simplified to the specified tolerance using the Douglas-Peucker algorithm. A higher tolerance value implies fewer points in the output. If no tolerance is provided, it defaults to 0. By default, this function does not preserve topology. For example, Polygon objects can be split, be collapsed... | |
doc_18783 |
Multiply arguments element-wise. Parameters
x1, x2array_like
Input arrays to be multiplied. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If p... | |
doc_18784 | This exception is derived from RuntimeError. It is raised when the interpreter detects that the maximum recursion depth (see sys.getrecursionlimit()) is exceeded. New in version 3.5: Previously, a plain RuntimeError was raised. | |
doc_18785 |
Fit the model from data in X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vector, where n_samples is the number of samples and n_features is the number of features. If affinity is “precomputed” X : {array-like, sparse matrix}, shape (n_samples, n_samples), Interpret X as pr... | |
doc_18786 |
Bases: matplotlib.path.Path Create a path from the text. Create a path from the text. Note that it simply is a path, not an artist. You need to use the PathPatch (or other artists) to draw this path onto the canvas. Parameters
xytuple or array of two float values
Position of the text. For no offset, use xy=(0, ... | |
doc_18787 | Represents the C long double datatype. The constructor accepts an optional float initializer. On platforms where sizeof(long double) ==
sizeof(double) it is an alias to c_double. | |
doc_18788 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseFillEmptyRowsGrad
tf.raw_ops.SparseFillEmptyRowsGrad(
reverse_index_map, grad_values, name=None
)
Takes vectors reverse_index_map, shaped [N], and grad_values, shaped [N_full], where N_full >= N and copies data into either d_values or d_default_val... | |
doc_18789 | Handle an unparsed entity declaration event. | |
doc_18790 |
Combine an rgb image with an intensity map using "overlay" blending. Parameters
rgbndarray
An MxNx3 RGB array of floats ranging from 0 to 1 (color image).
intensityndarray
An MxNx1 array of floats ranging from 0 to 1 (grayscale image). Returns
ndarray
An MxNx3 RGB array representing the combined image... | |
doc_18791 |
Compute the qth percentile of the data along the specified axis, while ignoring nan values. Returns the qth percentile(s) of the array elements. New in version 1.9.0. Parameters
aarray_like
Input array or object that can be converted to an array, containing nan values to be ignored.
qarray_like of float
P... | |
doc_18792 |
Call self as a function. | |
doc_18793 | Return the difference between x and y. | |
doc_18794 |
Return this Axis' tick locations in data coordinates.
Examples using matplotlib.axis.Axis.get_ticklocs
Artist tutorial | |
doc_18795 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_18796 |
Function that returns True when in compilation and False otherwise. This is useful especially with the @unused decorator to leave code in your model that is not yet TorchScript compatible. .. testcode: import torch
@torch.jit.unused
def unsupported_linear_op(x):
return x
def linear(x):
if not torch.jit.is_sc... | |
doc_18797 | Push the value item onto the heap, maintaining the heap invariant. | |
doc_18798 | stat.FILE_ATTRIBUTE_COMPRESSED
stat.FILE_ATTRIBUTE_DEVICE
stat.FILE_ATTRIBUTE_DIRECTORY
stat.FILE_ATTRIBUTE_ENCRYPTED
stat.FILE_ATTRIBUTE_HIDDEN
stat.FILE_ATTRIBUTE_INTEGRITY_STREAM
stat.FILE_ATTRIBUTE_NORMAL
stat.FILE_ATTRIBUTE_NOT_CONTENT_INDEXED
stat.FILE_ATTRIBUTE_NO_SCRUB_DATA
stat.FILE_ATTRIBUTE... | |
doc_18799 |
Set the patch edge color. Parameters
colorcolor or None |
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