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doc_2900
pygame module for drawing shapes EXPERIMENTAL!: This API may change or disappear in later pygame releases. If you use this, your code may break with the next pygame release. The pygame package does not import gfxdraw automatically when loaded, so it must imported explicitly to be used. import pygame import pygame....
doc_2901
The minutes of the datetime. Examples >>> datetime_series = pd.Series( ... pd.date_range("2000-01-01", periods=3, freq="T") ... ) >>> datetime_series 0 2000-01-01 00:00:00 1 2000-01-01 00:01:00 2 2000-01-01 00:02:00 dtype: datetime64[ns] >>> datetime_series.dt.minute 0 0 1 1 2 2 dtype: int64
doc_2902
class sklearn.decomposition.SparsePCA(n_components=None, *, alpha=1, ridge_alpha=0.01, max_iter=1000, tol=1e-08, method='lars', n_jobs=None, U_init=None, V_init=None, verbose=False, random_state=None) [source] Sparse Principal Components Analysis (SparsePCA). Finds the set of sparse components that can optimally reco...
doc_2903
The bbox of the character (B) as a tuple (llx, lly, urx, ury).
doc_2904
Return the standard horizontal stem width as float, or None if not specified in AFM file.
doc_2905
Return fillstate (True if filling, False else). >>> turtle.begin_fill() >>> if turtle.filling(): ... turtle.pensize(5) ... else: ... turtle.pensize(3)
doc_2906
Return the Patch's axis-aligned extents as a Bbox.
doc_2907
Return the result of rotating the digits of the first operand by an amount specified by the second operand. The second operand must be an integer in the range -precision through precision. The absolute value of the second operand gives the number of places to rotate. If the second operand is positive then rotation is t...
doc_2908
An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.) Arrays should be con...
doc_2909
Evaluate a 3-D Hermite_e series at points (x, y, z). This function returns the values: \[p(x,y,z) = \sum_{i,j,k} c_{i,j,k} * He_i(x) * He_j(y) * He_k(z)\] The parameters x, y, and z are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars and they must have the same shape a...
doc_2910
Loop over the format_string and return an iterable of tuples (literal_text, field_name, format_spec, conversion). This is used by vformat() to break the string into either literal text, or replacement fields. The values in the tuple conceptually represent a span of literal text followed by a single replacement field. I...
doc_2911
Return a list of the child Artists of this Artist.
doc_2912
draw a filled circle filled_circle(surface, x, y, r, color) -> None Draws a filled circle on the given surface. For an unfilled circle use circle(). Parameters: surface (Surface) -- surface to draw on x (int) -- x coordinate of the center of the circle y (int) -- y coordinate of the center of the circle r ...
doc_2913
tf.experimental.numpy.ones( shape, dtype=float ) Unsupported arguments: order. See the NumPy documentation for numpy.ones.
doc_2914
Helper object to deal with Flask applications. This is usually not necessary to interface with as it’s used internally in the dispatching to click. In future versions of Flask this object will most likely play a bigger role. Typically it’s created automatically by the FlaskGroup but you can also manually create it and ...
doc_2915
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters funccallable The callback function. It must have the signature: def func(artist: Artist) -> Any where artist is the calling Artist. Return values may exist but are ignored. Returns int The observer id ...
doc_2916
Return the effective group id of the current process. This corresponds to the “set id” bit on the file being executed in the current process. Availability: Unix.
doc_2917
Bases: tornado.web.RequestHandler get()[source]
doc_2918
Keep only the elements where filter_fn applied to function name returns True.
doc_2919
The name of a GET field containing the URL to redirect to after log out. Defaults to 'next'. Overrides the next_page URL if the given GET parameter is passed.
doc_2920
Dictionary mapping filename extensions to non-standard, but commonly found MIME types.
doc_2921
Decode the input into a string of unicode symbols. The decoding strategy depends on the vectorizer parameters. Parameters docstr The string to decode. Returns doc: str A string of unicode symbols.
doc_2922
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_2923
Return the event loop associated with the server object. New in version 3.7.
doc_2924
The HTTP reason phrase for the response. It uses the HTTP standard’s default reason phrases. Unless explicitly set, reason_phrase is determined by the value of status_code.
doc_2925
Construct an array from a text file, using regular expression parsing. The returned array is always a structured array, and is constructed from all matches of the regular expression in the file. Groups in the regular expression are converted to fields of the structured array. Parameters filepath or file Filenam...
doc_2926
See Migration guide for more details. tf.compat.v1.raw_ops.DatasetToGraph tf.raw_ops.DatasetToGraph( input_dataset, stateful_whitelist=[], allow_stateful=False, strip_device_assignment=False, name=None ) Returns a graph representation for input_dataset. Args input_dataset A Tensor of type variant. A...
doc_2927
Scalar method identical to the corresponding array attribute. Please see ndarray.ravel.
doc_2928
os.spawnle(mode, path, ..., env) os.spawnlp(mode, file, ...) os.spawnlpe(mode, file, ..., env) os.spawnv(mode, path, args) os.spawnve(mode, path, args, env) os.spawnvp(mode, file, args) os.spawnvpe(mode, file, args, env) Execute the program path in a new process. (Note that the subprocess module provides ...
doc_2929
tf.gradients( ys, xs, grad_ys=None, name='gradients', gate_gradients=False, aggregation_method=None, stop_gradients=None, unconnected_gradients=tf.UnconnectedGradients.NONE ) tf.gradients is only valid in a graph context. In particular, it is valid in the context of a tf.function wrapper, where code is exe...
doc_2930
Set all fields of the record to 0, through MsiRecordClearData().
doc_2931
Project the data by using matrix product with the random matrix Parameters X{ndarray, sparse matrix} of shape (n_samples, n_features) The input data to project into a smaller dimensional space. Returns X_new{ndarray, sparse matrix} of shape (n_samples, n_components) Projected array.
doc_2932
Return the picking behavior of the artist. The possible values are described in set_picker. See also set_picker, pickable, pick
doc_2933
Return a copy of the array. Parameters order{‘C’, ‘F’, ‘A’, ‘K’}, optional Controls the memory layout of the copy. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible. (Note that this function and numpy.copy are ve...
doc_2934
os.O_NOINHERIT os.O_SHORT_LIVED os.O_TEMPORARY os.O_RANDOM os.O_SEQUENTIAL os.O_TEXT The above constants are only available on Windows.
doc_2935
Returns the (complex) conjugate transpose of self. Equivalent to np.transpose(self) if self is real-valued. Parameters None Returns retmatrix object complex conjugate transpose of self Examples >>> x = np.matrix(np.arange(12).reshape((3,4))) >>> z = x - 1j*x; z matrix([[ 0. +0.j, 1. -1.j, 2. -2.j, ...
doc_2936
ipaddress.ip_address(address) Return an IPv4Address or IPv6Address object depending on the IP address passed as argument. Either IPv4 or IPv6 addresses may be supplied; integers less than 2**32 will be considered to be IPv4 by default. A ValueError is raised if address does not represent a valid IPv4 or IPv6 address....
doc_2937
The SMTP server refused to accept the message data.
doc_2938
Alias for get_facecolor.
doc_2939
Calls flush(), sets the target to None and clears the buffer.
doc_2940
class sklearn.ensemble.VotingClassifier(estimators, *, voting='hard', weights=None, n_jobs=None, flatten_transform=True, verbose=False) [source] Soft Voting/Majority Rule classifier for unfitted estimators. Read more in the User Guide. New in version 0.17. Parameters estimatorslist of (str, estimator) tuples ...
doc_2941
Returns the Well-Known Text of the geometry (an OGC standard).
doc_2942
Define the picking behavior of the artist. Parameters pickerNone or bool or float or callable This can be one of the following: None: Picking is disabled for this artist (default). A boolean: If True then picking will be enabled and the artist will fire a pick event if the mouse event is over the artist. A fl...
doc_2943
Draw a Path instance using the given affine transform.
doc_2944
Return an image showing the differences between two images. New in version 0.16. Parameters image1, image22-D array Images to process, must be of the same shape. methodstring, optional Method used for the comparison. Valid values are {‘diff’, ‘blend’, ‘checkerboard’}. Details are provided in the note sect...
doc_2945
Returns an aware datetime that represents the same point in time as value in timezone, value being a naive datetime. If timezone is set to None, it defaults to the current time zone. Deprecated since version 4.0: When using pytz, the pytz.AmbiguousTimeError exception is raised if you try to make value aware during a D...
doc_2946
Returns a list of strings ready for printing. Each string in the resulting list corresponds to a single frame from the stack. Each string ends in a newline; the strings may contain internal newlines as well, for those items with source text lines. For long sequences of the same frame and line, the first few repetitions...
doc_2947
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedResizeBilinear tf.raw_ops.QuantizedResizeBilinear( images, size, min, max, align_corners=False, half_pixel_centers=False, name=None ) Input images and output images must be quantized types. Args images A Tensor. Must be one of the follo...
doc_2948
Return dict of savefig file formats supported by this backend.
doc_2949
Called when the incoming data stream matches the termination condition set by set_terminator(). The default method, which must be overridden, raises a NotImplementedError exception. The buffered input data should be available via an instance attribute.
doc_2950
set the overlay pixel data display((y, u, v)) -> None display() -> None Display the YUV data in SDL's overlay planes. The y, u, and v arguments are strings of binary data. The data must be in the correct format used to create the Overlay. If no argument is passed in, the Overlay will simply be redrawn with the curren...
doc_2951
Example: fav_color = request.session.get('fav_color', 'red')
doc_2952
turtle.pos() Return the turtle’s current location (x,y) (as a Vec2D vector). >>> turtle.pos() (440.00,-0.00)
doc_2953
Apply map_fn to all of the function names. This can be used to regularize function names (e.g. stripping irrelevant parts of the file path), coalesce entries by mapping multiple functions to the same name (in which case the counts are added together), etc.
doc_2954
Set storage-indexed locations to corresponding values. Sets self._data.flat[n] = values[n] for each n in indices. If values is shorter than indices then it will repeat. If values has some masked values, the initial mask is updated in consequence, else the corresponding values are unmasked. Parameters indices1-D a...
doc_2955
Register a custom accessor on Series objects. Parameters name:str Name under which the accessor should be registered. A warning is issued if this name conflicts with a preexisting attribute. Returns callable A class decorator. See also register_dataframe_accessor Register a custom accessor on DataF...
doc_2956
See torch.minimum()
doc_2957
All arguments are optional, and all except for m should be specified in keyword form. Test examples in docstrings in functions and classes reachable from module m (or module __main__ if m is not supplied or is None), starting with m.__doc__. Also test examples reachable from dict m.__test__, if it exists and is not Non...
doc_2958
Fills self tensor with elements samples from the normal distribution parameterized by mean and std.
doc_2959
Leave-P-Out cross-validator Provides train/test indices to split data in train/test sets. This results in testing on all distinct samples of size p, while the remaining n - p samples form the training set in each iteration. Note: LeavePOut(p) is NOT equivalent to KFold(n_splits=n_samples // p) which creates non-overl...
doc_2960
Add a colorbar to a plot. Parameters mappable The matplotlib.cm.ScalarMappable (i.e., AxesImage, ContourSet, etc.) described by this colorbar. This argument is mandatory for the Figure.colorbar method but optional for the pyplot.colorbar function, which sets the default to the current image. Note that one can cre...
doc_2961
Raise a Hermite series to a power. Returns the Hermite series c raised to the power pow. The argument c is a sequence of coefficients ordered from low to high. i.e., [1,2,3] is the series P_0 + 2*P_1 + 3*P_2. Parameters carray_like 1-D array of Hermite series coefficients ordered from low to high. powinteger ...
doc_2962
Return the coefficient of determination \(R^2\) of the prediction. The coefficient \(R^2\) is defined as \((1 - \frac{u}{v})\), where \(u\) is the residual sum of squares ((y_true - y_pred) ** 2).sum() and \(v\) is the total sum of squares ((y_true - y_true.mean()) ** 2).sum(). The best possible score is 1.0 and it c...
doc_2963
Read at most size bytes from the chunk (less if the read hits the end of the chunk before obtaining size bytes). If the size argument is negative or omitted, read all data until the end of the chunk. An empty bytes object is returned when the end of the chunk is encountered immediately.
doc_2964
Set the width of the rectangle.
doc_2965
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_2966
Sets the current object instance (self.object).
doc_2967
Called when this tool gets used. This method is called by ToolManager.trigger_tool. Parameters eventEvent The canvas event that caused this tool to be called. senderobject Object that requested the tool to be triggered. dataobject Extra data.
doc_2968
TransformerEncoderLayer is made up of self-attn and feedforward network. This standard encoder layer is based on the paper “Attention Is All You Need”. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advan...
doc_2969
Create a circle level set with binary values. Parameters image_shapetuple of positive integers Shape of the image centertuple of positive integers, optional Coordinates of the center of the circle given in (row, column). If not given, it defaults to the center of the image. radiusfloat, optional Radius ...
doc_2970
See class documentation.
doc_2971
Draws binary random numbers (0 or 1) from a Bernoulli distribution. The input tensor should be a tensor containing probabilities to be used for drawing the binary random number. Hence, all values in input have to be in the range: 0≤inputi≤10 \leq \text{input}_i \leq 1 . The ith\text{i}^{th} element of the output tenso...
doc_2972
See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatMul tf.raw_ops.SparseMatMul( a, b, transpose_a=False, transpose_b=False, a_is_sparse=False, b_is_sparse=False, name=None ) The inputs must be two-dimensional matrices and the inner dimension of "a" must match the outer dimension of "b". Both...
doc_2973
Process a single command keystroke. Here are the supported special keystrokes: Keystroke Action Control-A Go to left edge of window. Control-B Cursor left, wrapping to previous line if appropriate. Control-D Delete character under cursor. Control-E Go to right edge (stripspaces off) or end of line (stripspa...
doc_2974
Checks whether there is a global language file for the given language code (e.g. ‘fr’, ‘pt_BR’). This is used to decide whether a user-provided language is available.
doc_2975
closes a midi stream, flushing any pending buffers. close() -> None PortMidi attempts to close open streams when the application exits. Note This is particularly difficult under Windows.
doc_2976
bytearray.lower() Return a copy of the sequence with all the uppercase ASCII characters converted to their corresponding lowercase counterpart. For example: >>> b'Hello World'.lower() b'hello world' Lowercase ASCII characters are those byte values in the sequence b'abcdefghijklmnopqrstuvwxyz'. Uppercase ASCII charac...
doc_2977
Apply this transformation on the given array of values. Parameters valuesarray The input values as NumPy array of length input_dims or shape (N x input_dims). Returns array The output values as NumPy array of length input_dims or shape (N x output_dims), depending on the input.
doc_2978
A non-recursive lock object: a close analog of threading.Lock. Once a process or thread has acquired a lock, subsequent attempts to acquire it from any process or thread will block until it is released; any process or thread may release it. The concepts and behaviors of threading.Lock as it applies to threads are repli...
doc_2979
Return the topmost SubplotSpec instance associated with the subplot.
doc_2980
The epilogue attribute acts the same way as the preamble attribute, except that it contains text that appears between the last boundary and the end of the message. As with the preamble, if there is no epilog text this attribute will be None.
doc_2981
Base class for creating enumerated constants that can be combined using the bitwise operators without losing their IntFlag membership. IntFlag members are also subclasses of int.
doc_2982
Return a string object containing two hexadecimal digits for each byte in the instance. >>> bytearray(b'\xf0\xf1\xf2').hex() 'f0f1f2' New in version 3.5. Changed in version 3.8: Similar to bytes.hex(), bytearray.hex() now supports optional sep and bytes_per_sep parameters to insert separators between bytes in the h...
doc_2983
Bases: matplotlib.scale.LogScale Provide an arbitrary scale with user-supplied function for the axis and then put on a logarithmic axes. Parameters axismatplotlib.axis.Axis The axis for the scale. functions(callable, callable) two-tuple of the forward and inverse functions for the scale. The forward functio...
doc_2984
The maximum size (in bytes) of the swap space that may be reserved or used by all of this user id’s processes. This limit is enforced only if bit 1 of the vm.overcommit sysctl is set. Please see tuning(7) for a complete description of this sysctl. Availability: FreeBSD 9 or later. New in version 3.4.
doc_2985
Returns a compression object, to be used for compressing data streams that won’t fit into memory at once. level is the compression level – an integer from 0 to 9 or -1. A value of 1 (Z_BEST_SPEED) is fastest and produces the least compression, while a value of 9 (Z_BEST_COMPRESSION) is slowest and produces the most. 0 ...
doc_2986
Alias for get_markerfacecolor.
doc_2987
bytearray.strip([chars]) Return a copy of the sequence with specified leading and trailing bytes removed. The chars argument is a binary sequence specifying the set of byte values to be removed - the name refers to the fact this method is usually used with ASCII characters. If omitted or None, the chars argument defa...
doc_2988
Returns the east asian width assigned to the character chr as string.
doc_2989
Return indices that are non-zero in the flattened version of a. This is equivalent to np.nonzero(np.ravel(a))[0]. Parameters aarray_like Input data. Returns resndarray Output array, containing the indices of the elements of a.ravel() that are non-zero. See also nonzero Return the indices of the n...
doc_2990
See Migration guide for more details. tf.compat.v1.raw_ops.ZerosLike tf.raw_ops.ZerosLike( x, name=None ) Args x A Tensor. a tensor of type T. name A name for the operation (optional). Returns A Tensor. Has the same type as x.
doc_2991
display various pixelarray generated effects pixelarray.main() -> None Display various pixelarray generated effects.
doc_2992
def make_variables(k, initializer): return (tf.Variable(initializer(shape=[k], dtype=tf.float32)), tf.Variable(initializer(shape=[k, k], dtype=tf.float32))) v1, v2 = make_variables(3, tf.zeros_initializer()) v1 <tf.Variable ... shape=(3,) ... numpy=array([0., 0., 0.], dtype=float32)> v2 <tf.Variable ... sha...
doc_2993
Remove artists that are connected to the image viewer.
doc_2994
@abc.abstractmethod @tf_contextlib.contextmanager as_default( step=None ) Returns a context manager that enables summary writing. For convenience, if step is not None, this function also sets a default value for the step parameter used in summary-writing functions elsewhere in the API so that it need not be explic...
doc_2995
Add a new action at the beginning. See append() for explanations of the arguments.
doc_2996
Returns a tensor with the same size as input filled with fill_value. torch.full_like(input, fill_value) is equivalent to torch.full(input.size(), fill_value, dtype=input.dtype, layout=input.layout, device=input.device). Parameters input (Tensor) – the size of input will determine size of the output tensor. fill_va...
doc_2997
A Grouper allows the user to specify a groupby instruction for an object. This specification will select a column via the key parameter, or if the level and/or axis parameters are given, a level of the index of the target object. If axis and/or level are passed as keywords to both Grouper and groupby, the values pass...
doc_2998
Draw a border around the edges of the window. Each parameter specifies the character to use for a specific part of the border; see the table below for more details. Note A 0 value for any parameter will cause the default character to be used for that parameter. Keyword parameters can not be used. The defaults are list...
doc_2999
Bind bye() method to mouse clicks on the Screen. If the value “using_IDLE” in the configuration dictionary is False (default value), also enter mainloop. Remark: If IDLE with the -n switch (no subprocess) is used, this value should be set to True in turtle.cfg. In this case IDLE’s own mainloop is active also for the cl...