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doc_17800
ax.axis["bottom"].major_ticks.set_color("red") However, things like the locations of ticks, and their ticklabels need to be changed from the side of the grid_helper. axis_direction AxisArtist, AxisLabel, TickLabels have an axis_direction attribute, which adjusts the location, angle, etc. The axis_direction must be on...
doc_17801
Filename of default file in which to keep cookies. This attribute may be assigned to.
doc_17802
Bases: matplotlib.transforms._BlendedMixin, matplotlib.transforms.Affine2DBase A "blended" transform uses one transform for the x-direction, and another transform for the y-direction. This version is an optimization for the case where both child transforms are of type Affine2DBase. Create a new "blended" transform us...
doc_17803
tf.compat.v1.losses.get_regularization_loss( scope=None, name='total_regularization_loss' ) Args scope An optional scope name for filtering the losses to return. name The name of the returned tensor. Returns A scalar regularization loss.
doc_17804
sklearn.utils.extmath.weighted_mode(a, w, *, axis=0) [source] Returns an array of the weighted modal (most common) value in a. If there is more than one such value, only the first is returned. The bin-count for the modal bins is also returned. This is an extension of the algorithm in scipy.stats.mode. Parameters ...
doc_17805
Add one Legendre series to another. Returns the sum of two Legendre series c1 + c2. The arguments are sequences of coefficients ordered from lowest order term to highest, i.e., [1,2,3] represents the series P_0 + 2*P_1 + 3*P_2. Parameters c1, c2array_like 1-D arrays of Legendre series coefficients ordered from ...
doc_17806
See Migration guide for more details. tf.compat.v1.train.experimental.disable_mixed_precision_graph_rewrite tf.compat.v1.mixed_precision.disable_mixed_precision_graph_rewrite() After this is called, the mixed precision graph rewrite will no longer run for new Sessions, and so float32 operations will no longer be con...
doc_17807
Height of the image in pixels.
doc_17808
Return True if the IntervalArray is non-overlapping (no Intervals share points) and is either monotonic increasing or monotonic decreasing, else False.
doc_17809
Return the Figure instance the artist belongs to.
doc_17810
A subclass of SSLError raised when certificate validation has failed. New in version 3.7. verify_code A numeric error number that denotes the verification error. verify_message A human readable string of the verification error.
doc_17811
This converter only accepts integer values: Rule("/page/<int:page>") By default it only accepts unsigned, positive values. The signed parameter will enable signed, negative values. Rule("/page/<int(signed=True):page>") Parameters map (Map) – The Map. fixed_digits (int) – The number of fixed digits in the URL. If...
doc_17812
Construct Python bytes containing the raw data bytes in the array. Constructs Python bytes showing a copy of the raw contents of data memory. The bytes object is produced in C-order by default. This behavior is controlled by the order parameter. New in version 1.9.0. Parameters order{‘C’, ‘F’, ‘A’}, optional ...
doc_17813
rotates a vector around the y-axis by the angle in radians. rotate_y_rad(angle) -> Vector3 Returns a vector which has the same length as self but is rotated counterclockwise around the y-axis by the given angle in radians. New in pygame 2.0.0.
doc_17814
Makes a PATCH request on the provided path and returns a Response object. Useful for testing RESTful interfaces. The follow, secure and extra arguments act the same as for Client.get().
doc_17815
Set the zaxis' labels with list of string labels. Warning This method should only be used after fixing the tick positions using Axes3D.set_zticks. Otherwise, the labels may end up in unexpected positions. Parameters labelslist of str The label texts. fontdictdict, optional A dictionary controlling the app...
doc_17816
See Migration guide for more details. tf.compat.v1.raw_ops.IgnoreErrorsDataset tf.raw_ops.IgnoreErrorsDataset( input_dataset, output_types, output_shapes, log_warning=False, name=None ) Args input_dataset A Tensor of type variant. output_types A list of tf.DTypes that has length >= 1. output_s...
doc_17817
Get resources information. Return information (from system_info.get_info) for all of the names in the argument list in a single dictionary.
doc_17818
Find the intersection of the Bezier curve with a closed path. The intersection point t is approximated by two parameters t0, t1 such that t0 <= t <= t1. Search starts from t0 and t1 and uses a simple bisecting algorithm therefore one of the end points must be inside the path while the other doesn't. The search stops ...
doc_17819
Write a prompt and read a line. The returned line does not include the trailing newline. When the user enters the EOF key sequence, EOFError is raised. The base implementation reads from sys.stdin; a subclass may replace this with a different implementation.
doc_17820
Bases: matplotlib.ticker.Locator Determines the tick locations when plotting dates. This class is subclassed by other Locators and is not meant to be used on its own. Parameters tzdatetime.tzinfo datalim_to_dt()[source] Convert axis data interval to datetime objects. hms0d={'byhour': 0, 'byminute': 0,...
doc_17821
Visit a node. The default implementation calls the method called self.visit_classname where classname is the name of the node class, or generic_visit() if that method doesn’t exist.
doc_17822
Check if an etag is strong.
doc_17823
tf.compat.v1.layers.max_pooling3d( inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None ) volumes). Arguments inputs The tensor over which to pool. Must have rank 5. pool_size An integer or tuple/list of 3 integers: (pool_depth, pool_height, pool_width) specifying ...
doc_17824
Packs the double-precision floating point number value.
doc_17825
See Migration guide for more details. tf.compat.v1.keras.layers.Softmax tf.keras.layers.Softmax( axis=-1, **kwargs ) Example without mask: inp = np.asarray([1., 2., 1.]) layer = tf.keras.layers.Softmax() layer(inp).numpy() array([0.21194157, 0.5761169 , 0.21194157], dtype=float32) mask = np.asarray([True, False...
doc_17826
Creates a new distributed group. This function requires that all processes in the main group (i.e. all processes that are part of the distributed job) enter this function, even if they are not going to be members of the group. Additionally, groups should be created in the same order in all processes. Warning Using m...
doc_17827
Remove and return a (key, value) pair from the dictionary. Pairs are returned in LIFO order. popitem() is useful to destructively iterate over a dictionary, as often used in set algorithms. If the dictionary is empty, calling popitem() raises a KeyError. Changed in version 3.7: LIFO order is now guaranteed. In prior v...
doc_17828
Attempt to find the loader to handle fullname within path.
doc_17829
Controls whether or not constraints should be created in the database for the foreign keys in the intermediary table. The default is True, and that’s almost certainly what you want; setting this to False can be very bad for data integrity. That said, here are some scenarios where you might want to do this: You have le...
doc_17830
Round an array to the given number of decimals. See also around equivalent function; see for details.
doc_17831
Checks for ASCII any printable character except space.
doc_17832
Class which loads shared libraries. dlltype should be one of the CDLL, PyDLL, WinDLL, or OleDLL types. __getattr__() has special behavior: It allows loading a shared library by accessing it as attribute of a library loader instance. The result is cached, so repeated attribute accesses return the same library each time....
doc_17833
urllib.parse.urlparse(urlstring, scheme='', allow_fragments=True) Parse a URL into six components, returning a 6-item named tuple. This corresponds to the general structure of a URL: scheme://netloc/path;parameters?query#fragment. Each tuple item is a string, possibly empty. The components are not broken up into smal...
doc_17834
class sklearn.semi_supervised.LabelPropagation(kernel='rbf', *, gamma=20, n_neighbors=7, max_iter=1000, tol=0.001, n_jobs=None) [source] Label Propagation classifier Read more in the User Guide. Parameters kernel{‘knn’, ‘rbf’} or callable, default=’rbf’ String identifier for kernel function to use or the kernel...
doc_17835
Applies a 2D adaptive average pooling over an input signal composed of several input planes. See AdaptiveAvgPool2d for details and output shape. Parameters output_size – the target output size (single integer or double-integer tuple)
doc_17836
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_17837
find an unused channel find_channel(force=False) -> Channel This will find and return an inactive Channel object. If there are no inactive Channels this function will return None. If there are no inactive channels and the force argument is True, this will find the Channel with the longest running Sound and return it....
doc_17838
Rectified stereo image pair with ground-truth disparities. The two images are rectified such that every pixel in the left image has its corresponding pixel on the same scanline in the right image. That means that both images are warped such that they have the same orientation but a horizontal spatial offset (baseline...
doc_17839
draw many images onto another blits(blit_sequence=(source, dest), ...), doreturn=1) -> [Rect, ...] or None blits((source, dest, area), ...)) -> [Rect, ...] blits((source, dest, area, special_flags), ...)) -> [Rect, ...] Draws many surfaces onto this Surface. It takes a sequence as input, with each of the elements cor...
doc_17840
See Migration guide for more details. tf.compat.v1.signal.irfft, tf.compat.v1.spectral.irfft tf.signal.irfft( input_tensor, fft_length=None, name=None ) Computes the inverse 1-dimensional discrete Fourier transform of a real-valued signal over the inner-most dimension of input. The inner-most dimension of input ...
doc_17841
Display a standardized deprecation. Parameters sincestr The release at which this API became deprecated. messagestr, optional Override the default deprecation message. The %(since)s, %(name)s, %(alternative)s, %(obj_type)s, %(addendum)s, and %(removal)s format specifiers will be replaced by the values of th...
doc_17842
Which methods can be used for the cross origin request.
doc_17843
Adjust subplot parameters to give specified padding. Parameters padfloat Padding between the figure edge and the edges of subplots, as a fraction of the font-size. h_pad, w_padfloat, optional Padding (height/width) between edges of adjacent subplots. Defaults to pad. recttuple of 4 floats, default: (0, 0,...
doc_17844
switches the sprites from layer1 to layer2 switch_layer(layer1_nr, layer2_nr) -> None The layers number must exist, it is not checked.
doc_17845
Creates a URL adapter for the given request. The URL adapter is created at a point where the request context is not yet set up so the request is passed explicitly. Changelog Changed in version 1.0: SERVER_NAME no longer implicitly enables subdomain matching. Use subdomain_matching instead. Changed in version 0.9: Th...
doc_17846
Return the current signal handler for the signal signalnum. The returned value may be a callable Python object, or one of the special values signal.SIG_IGN, signal.SIG_DFL or None. Here, signal.SIG_IGN means that the signal was previously ignored, signal.SIG_DFL means that the default way of handling the signal was pre...
doc_17847
Bases: matplotlib.dates.RRuleLocator Make ticks on occurrences of each second. Mark every second in bysecond; bysecond can be an int or sequence. Default is to tick every second: bysecond = range(60) interval is the interval between each iteration. For example, if interval=2, mark every second occurrence.
doc_17848
Return this Axis' minor tick lines as a list of Line2Ds.
doc_17849
Add an Axes to the figure. Call signatures: add_axes(rect, projection=None, polar=False, **kwargs) add_axes(ax) Parameters rectsequence of float The dimensions [left, bottom, width, height] of the new Axes. All quantities are in fractions of figure width and height. projection{None, 'aitoff', 'hammer', 'lamb...
doc_17850
Return the control character corresponding to the given character (the character bit value is bitwise-anded with 0x1f).
doc_17851
The line number within the string containing this example where the example begins. This line number is zero-based with respect to the beginning of the containing string.
doc_17852
tf.compat.v1.metrics.false_negatives( labels, predictions, weights=None, metrics_collections=None, updates_collections=None, name=None ) If weights is None, weights default to 1. Use weights of 0 to mask values. Args labels The ground truth values, a Tensor whose dimensions must match predictions. Wil...
doc_17853
Returns the orientation of the set bits angle() -> theta Finds the approximate orientation (from -90 to 90 degrees) of the set bits in the mask. This works best if performed on a mask with only one connected component. Returns: the orientation of the set bits in the mask, it will return 0.0 if the mask has no bi...
doc_17854
'blogs.blog': lambda o: "/blogs/%s/" % o.slug, 'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug), } The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti...
doc_17855
Fetch an attribute from the Module hierarchy of self.module. Parameters target (str) – The fully-qualfiied name of the attribute to fetch Returns The value of the attribute. Return type Any
doc_17856
Takes either a QueryDict or a dictionary. Like dict.update(), except it appends to the current dictionary items rather than replacing them. For example: >>> q = QueryDict('a=1', mutable=True) >>> q.update({'a': '2'}) >>> q.getlist('a') ['1', '2'] >>> q['a'] # returns the last '2'
doc_17857
Return an output stream object suitable for use as the wsgi.errors of the request currently being processed.
doc_17858
Returns the standard-deviation of all elements in the input tensor. If unbiased is False, then the standard-deviation will be calculated via the biased estimator. Otherwise, Bessel’s correction will be used. Parameters input (Tensor) – the input tensor. unbiased (bool) – whether to use the unbiased estimation or n...
doc_17859
tkinter.font.BOLD tkinter.font.ITALIC tkinter.font.ROMAN
doc_17860
actual time used in the previous tick get_rawtime() -> milliseconds Similar to Clock.get_time(), but does not include any time used while Clock.tick() was delaying to limit the framerate.
doc_17861
A dictionary of the various implementation-specific flags passed through the -X command-line option. Option names are either mapped to their values, if given explicitly, or to True. Example: $ ./python -Xa=b -Xc Python 3.2a3+ (py3k, Oct 16 2010, 20:14:50) [GCC 4.4.3] on linux2 Type "help", "copyright", "credits" or "li...
doc_17862
>>> param = Parameter('foo', Parameter.KEYWORD_ONLY, default=42) >>> str(param) 'foo=42' >>> str(param.replace()) # Will create a shallow copy of 'param' 'foo=42' >>> str(param.replace(default=Parameter.empty, annotation='spam')) "foo:'spam'" Changed in version 3.4: In Python 3.3 Parameter objects were allowed to h...
doc_17863
Allow: GET, POST, HEAD, OPTIONS Content-Type: application/json { "name": "To Do List", "description": "List existing 'To Do' items, or create a new item.", "renders": [ "application/json", "text/html" ], "parses": [ "application/json", "application/x-www-form-urlenco...
doc_17864
Raise unittest.SkipTest on TLS certification validation failures.
doc_17865
Bases: torch.distributions.exp_family.ExponentialFamily Creates a Gamma distribution parameterized by shape concentration and rate. Example: >>> m = Gamma(torch.tensor([1.0]), torch.tensor([1.0])) >>> m.sample() # Gamma distributed with concentration=1 and rate=1 tensor([ 0.1046]) Parameters concentration (floa...
doc_17866
Raised when a Unicode-related error occurs during encoding. It is a subclass of UnicodeError.
doc_17867
Run score function on (X, y) and get the appropriate features. Parameters Xarray-like of shape (n_samples, n_features) The training input samples. yarray-like of shape (n_samples,) The target values (class labels in classification, real numbers in regression). Returns selfobject
doc_17868
Moves all model parameters and buffers to the GPU. This also makes associated parameters and buffers different objects. So it should be called before constructing optimizer if the module will live on GPU while being optimized. Parameters device (int, optional) – if specified, all parameters will be copied to that dev...
doc_17869
Applies a 3D max pooling over an input signal composed of several input planes. In the simplest case, the output value of the layer with input size (N,C,D,H,W)(N, C, D, H, W) , output (N,C,Dout,Hout,Wout)(N, C, D_{out}, H_{out}, W_{out}) and kernel_size (kD,kH,kW)(kD, kH, kW) can be precisely described as: out(Ni,...
doc_17870
The part of the URL after the “?”. This is the raw value, use args for the parsed values.
doc_17871
Set whether to use locale settings for decimal sign and positive sign. Parameters valbool or None None resets to rcParams["axes.formatter.use_locale"] (default: False).
doc_17872
os.CLD_KILLED os.CLD_DUMPED os.CLD_TRAPPED os.CLD_STOPPED os.CLD_CONTINUED These are the possible values for si_code in the result returned by waitid(). Availability: Unix. New in version 3.3. Changed in version 3.9: Added CLD_KILLED and CLD_STOPPED values.
doc_17873
See Migration guide for more details. tf.compat.v1.raw_ops.RaggedTensorToVariant tf.raw_ops.RaggedTensorToVariant( rt_nested_splits, rt_dense_values, batched_input, name=None ) Encodes the given RaggedTensor and returns a variant Tensor. If batched_input is True, then input RaggedTensor is unbatched along the ze...
doc_17874
Use LaTeX to compile a pgf figure to pdf and convert it to png.
doc_17875
Return the PDF operator to paint a path. Parameters fillbool Fill the path with the fill color. strokebool Stroke the outline of the path with the line color.
doc_17876
Dict {group name -> group indices}.
doc_17877
This is a sequential container which calls the Conv 1d and Batch Norm 1d modules. During quantization this will be replaced with the corresponding fused module.
doc_17878
Process a chunk of data.
doc_17879
Return the name of the user owning the file. KeyError is raised if the file’s uid isn’t found in the system database.
doc_17880
Send data to the socket. The socket must be connected to a remote socket. The optional flags argument has the same meaning as for recv() above. Unlike send(), this method continues to send data from bytes until either all data has been sent or an error occurs. None is returned on success. On error, an exception is rais...
doc_17881
Load and return the boston house-prices dataset (regression). Samples total 506 Dimensionality 13 Features real, positive Targets real 5. - 50. Read more in the User Guide. Parameters return_X_ybool, default=False If True, returns (data, target) instead of a Bunch object. See below for more informatio...
doc_17882
Apply trees in the forest to X, return leaf indices. Parameters X{array-like, sparse matrix} of shape (n_samples, n_features) The input samples. Internally, its dtype will be converted to dtype=np.float32. If a sparse matrix is provided, it will be converted into a sparse csr_matrix. Returns X_leavesndarr...
doc_17883
The context data to be used when rendering the template. It must be a dict. Example: {'foo': 123}
doc_17884
Applies the element-wise function: Sigmoid(x)=σ(x)=11+exp⁡(−x)\text{Sigmoid}(x) = \sigma(x) = \frac{1}{1 + \exp(-x)} Shape: Input: (N,∗)(N, *) where * means, any number of additional dimensions Output: (N,∗)(N, *) , same shape as the input Examples: >>> m = nn.Sigmoid() >>> input = torch.randn(2) >>> outpu...
doc_17885
Like Artist.get_window_extent, but includes any clipping. Parameters rendererRendererBase subclass renderer that will be used to draw the figures (i.e. fig.canvas.get_renderer()) Returns Bbox The enclosing bounding box (in figure pixel coordinates).
doc_17886
Copies the elements from tensor into the positions specified by indices. For the purpose of indexing, the self tensor is treated as if it were a 1-D tensor. If accumulate is True, the elements in tensor are added to self. If accumulate is False, the behavior is undefined if indices contain duplicate elements. Paramete...
doc_17887
POSIX.1-2001 (pax) format.
doc_17888
See Migration guide for more details. tf.compat.v1.raw_ops.PopulationCount tf.raw_ops.PopulationCount( x, name=None ) For each entry in x, calculates the number of 1 (on) bits in the binary representation of that entry. Note: It is more efficient to first tf.bitcast your tensors into int32 or int64 and perform ...
doc_17889
Raised when a mailbox is not empty but is expected to be, such as when deleting a folder that contains messages.
doc_17890
See Migration guide for more details. tf.compat.v1.sparse.segment_sqrt_n tf.compat.v1.sparse_segment_sqrt_n( data, indices, segment_ids, name=None, num_segments=None ) N is the size of the segment being reduced. Args data A Tensor with data that will be assembled in the output. indices A 1-D Tenso...
doc_17891
Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with FigureCanvasBase.draw_idle. Call relim to update the axes limits if desired. Note: relim will not see collections even if the collection was added to the axes with autolim = True. Note: there is no su...
doc_17892
Remove a callback based on its observer id. See also add_callback
doc_17893
Set the colormap to 'nipy_spectral'. This changes the default colormap as well as the colormap of the current image if there is one. See help(colormaps) for more information.
doc_17894
Pass a KeyEvent to all functions connected to key_release_event.
doc_17895
See Migration guide for more details. tf.compat.v1.raw_ops.BiasAdd tf.raw_ops.BiasAdd( value, bias, data_format='NHWC', name=None ) This is a special case of tf.add where bias is restricted to be 1-D. Broadcasting is supported, so value may have any number of dimensions. Args value A Tensor. Must be one...
doc_17896
Remove the observer with connection id cid.
doc_17897
mmap.MADV_RANDOM mmap.MADV_SEQUENTIAL mmap.MADV_WILLNEED mmap.MADV_DONTNEED mmap.MADV_REMOVE mmap.MADV_DONTFORK mmap.MADV_DOFORK mmap.MADV_HWPOISON mmap.MADV_MERGEABLE mmap.MADV_UNMERGEABLE mmap.MADV_SOFT_OFFLINE mmap.MADV_HUGEPAGE mmap.MADV_NOHUGEPAGE mmap.MADV_DONTDUMP mmap.MADV_DODUMP m...
doc_17898
Convert 16-bit positive integers from host to network byte order. On machines where the host byte order is the same as network byte order, this is a no-op; otherwise, it performs a 2-byte swap operation. Deprecated since version 3.7: In case x does not fit in 16-bit unsigned integer, but does fit in a positive C int, ...
doc_17899
Extend the dataLim Bbox to include the given points. If no data is set currently, the Bbox will ignore its limits and set the bound to be the bounds of the xydata (xys). Otherwise, it will compute the bounds of the union of its current data and the data in xys. Parameters xys2D array-like The points to include ...