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doc_16800
Find the intersection of two arrays. Return the sorted, unique values that are in both of the input arrays. Parameters ar1, ar2array_like Input arrays. Will be flattened if not already 1D. assume_uniquebool If True, the input arrays are both assumed to be unique, which can speed up the calculation. If True ...
doc_16801
Construct an IntervalIndex from an array of splits. Parameters breaks:array-like (1-dimensional) Left and right bounds for each interval. closed:{‘left’, ‘right’, ‘both’, ‘neither’}, default ‘right’ Whether the intervals are closed on the left-side, right-side, both or neither. copy:bool, default False ...
doc_16802
Clear the axis. This resets axis properties to their default values: the label the scale locators, formatters and ticks major and minor grid units registered callbacks
doc_16803
Return a shallow mutable copy of this object. Keep in mind that the standard library’s copy() function is a no-op for this class like for any other python immutable type (eg: tuple).
doc_16804
A two-dimensional vector class, used as a helper class for implementing turtle graphics. May be useful for turtle graphics programs too. Derived from tuple, so a vector is a tuple! Provides (for a, b vectors, k number): a + b vector addition a - b vector subtraction a * b inner product k * a and a * k multiplicati...
doc_16805
An int containing the default buffer size used by the module’s buffered I/O classes. open() uses the file’s blksize (as obtained by os.stat()) if possible.
doc_16806
Prints an indented representation of the content types of the message object structure. For example: >>> msg = email.message_from_file(somefile) >>> _structure(msg) multipart/mixed text/plain text/plain multipart/digest message/rfc822 text/plain message/rfc822 text/pl...
doc_16807
Set the property cycle of the Axes. The property cycle controls the style properties such as color, marker and linestyle of future plot commands. The style properties of data already added to the Axes are not modified. Call signatures: set_prop_cycle(cycler) set_prop_cycle(label=values[, label2=values2[, ...]]) set_p...
doc_16808
Return an int representing the number of elements in this object. Return the number of rows if Series. Otherwise return the number of rows times number of columns if DataFrame. See also ndarray.size Number of elements in the array. Examples >>> s = pd.Series({'a': 1, 'b': 2, 'c': 3}) >>> s.size 3 >>> df = p...
doc_16809
Pseudo-Vandermonde matrix of given degrees. Returns the pseudo-Vandermonde matrix of degrees deg and sample points (x, y). The pseudo-Vandermonde matrix is defined by \[V[..., (deg[1] + 1)*i + j] = H_i(x) * H_j(y),\] where 0 <= i <= deg[0] and 0 <= j <= deg[1]. The leading indices of V index the points (x, y) and th...
doc_16810
See Migration guide for more details. tf.compat.v1.keras.layers.UpSampling1D tf.keras.layers.UpSampling1D( size=2, **kwargs ) Repeats each temporal step size times along the time axis. Examples: input_shape = (2, 2, 3) x = np.arange(np.prod(input_shape)).reshape(input_shape) print(x) [[[ 0 1 2] [ 3 4 5]] ...
doc_16811
Create a Series with both index and values equal to the index keys. Useful with map for returning an indexer based on an index. Parameters index:Index, optional Index of resulting Series. If None, defaults to original index. name:str, optional Name of resulting Series. If None, defaults to name of original ...
doc_16812
boolean that is True if the application will be executed only once in a process lifetime. This is the case for CGI for example, but it’s not guaranteed that the execution only happens one time.
doc_16813
Returns a surface with the mask drawn on it to_surface() -> Surface to_surface(surface=None, setsurface=None, unsetsurface=None, setcolor=(255, 255, 255, 255), unsetcolor=(0, 0, 0, 255), dest=(0, 0)) -> Surface Draws this mask on the given surface. Set bits (bits set to 1) and unset bits (bits set to 0) can be drawn ...
doc_16814
Flatpages are represented by a standard Django model, which lives in django/contrib/flatpages/models.py. You can access flatpage objects via the Django database API.
doc_16815
Create and return a new GridlineCollection instance. which : "major" or "minor" axis : "both", "x" or "y"
doc_16816
See Migration guide for more details. tf.compat.v1.raw_ops.DepthwiseConv2dNativeBackpropInput tf.raw_ops.DepthwiseConv2dNativeBackpropInput( input_sizes, filter, out_backprop, strides, padding, explicit_paddings=[], data_format='NHWC', dilations=[1, 1, 1, 1], name=None ) Args input_sizes A Tensor of...
doc_16817
Returns the variance of the data in the provided expression. Default alias: <field>__variance Return type: float if input is int, otherwise same as input field, or output_field if supplied Has one optional argument: sample By default, Variance returns the population variance. However, if sample=True, the return ...
doc_16818
Send a command cmd to the server. The optional argument args is simply concatenated to the command, separated by a space. This returns a 2-tuple composed of a numeric response code and the actual response line (multiline responses are joined into one long line.) In normal operation it should not be necessary to call th...
doc_16819
Returns an iterator over immediate children modules. Yields Module – a child module
doc_16820
Set the spine bounds. Parameters lowfloat or None, optional The lower spine bound. Passing None leaves the limit unchanged. The bounds may also be passed as the tuple (low, high) as the first positional argument. highfloat or None, optional The higher spine bound. Passing None leaves the limit unchanged.
doc_16821
Return whether the Artist has an explicitly set transform. This is True after set_transform has been called.
doc_16822
Return a string describing the encoding of the device associated with fd if it is connected to a terminal; else return None.
doc_16823
Cast a pandas object to a specified dtype dtype. Parameters dtype:data type, or dict of column name -> data type Use a numpy.dtype or Python type to cast entire pandas object to the same type. Alternatively, use {col: dtype, …}, where col is a column label and dtype is a numpy.dtype or Python type to cast one o...
doc_16824
Do quantization aware training and output a quantized model Parameters model – input model run_fn – a function for evaluating the prepared model, can be a function that simply runs the prepared model or a training loop run_args – positional arguments for run_fn Returns Quantized model.
doc_16825
Return key in self.
doc_16826
operator.__ipow__(a, b) a = ipow(a, b) is equivalent to a **= b.
doc_16827
Return a fixed frequency IntervalIndex. Parameters start:numeric or datetime-like, default None Left bound for generating intervals. end:numeric or datetime-like, default None Right bound for generating intervals. periods:int, default None Number of periods to generate. freq:numeric, str, or DateOffse...
doc_16828
This is a straightforward interface to the Unix select() system call. The first three arguments are iterables of ‘waitable objects’: either integers representing file descriptors or objects with a parameterless method named fileno() returning such an integer: rlist: wait until ready for reading wlist: wait until rea...
doc_16829
Returns the number closest to x, in direction towards y.
doc_16830
Returns a bytestring version of arbitrary object s, encoded as specified in encoding. If strings_only is True, don’t convert (some) non-string-like objects.
doc_16831
The database that will be used if this query is executed now.
doc_16832
See Migration guide for more details. tf.compat.v1.estimator.SummarySaverHook, tf.compat.v1.train.SummarySaverHook tf.estimator.SummarySaverHook( save_steps=None, save_secs=None, output_dir=None, summary_writer=None, scaffold=None, summary_op=None ) Args save_steps int, save summaries every N steps....
doc_16833
Applies a 3D adaptive max pooling over an input signal composed of several input planes. See AdaptiveMaxPool3d for details and output shape. Parameters output_size – the target output size (single integer or triple-integer tuple) return_indices – whether to return pooling indices. Default: False
doc_16834
Permutes the dimensions of the self tensor to match the dimension order in the other tensor, adding size-one dims for any new names. This operation is useful for explicit broadcasting by names (see examples). All of the dims of self must be named in order to use this method. The resulting tensor is a view on the origin...
doc_16835
Return a new Affine2D object that is the identity transform. Unless this transform will be mutated later on, consider using the faster IdentityTransform class instead.
doc_16836
This exception is raised when the server unexpectedly disconnects, or when an attempt is made to use the SMTP instance before connecting it to a server.
doc_16837
Clear the Axes.
doc_16838
See Migration guide for more details. tf.compat.v1.signal.mdct tf.signal.mdct( signals, frame_length, window_fn=tf.signal.vorbis_window, pad_end=False, norm=None, name=None ) Implemented with TPU/GPU-compatible ops and supports gradients. Args signals A [..., samples] float32/float64 Tensor of real-...
doc_16839
Return boolean flag, True if artist is included in layout calculations. E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight').
doc_16840
Remove (delete) the file path. If path is a directory, an IsADirectoryError is raised. Use rmdir() to remove directories. If the file does not exist, a FileNotFoundError is raised. This function can support paths relative to directory descriptors. On Windows, attempting to remove a file that is in use causes an excepti...
doc_16841
See Migration guide for more details. tf.compat.v1.keras.layers.experimental.preprocessing.RandomContrast tf.keras.layers.experimental.preprocessing.RandomContrast( factor, seed=None, name=None, **kwargs ) Contrast is adjusted independently for each channel of each image during training. For each channel, this l...
doc_16842
The warning used by Werkzeug to signal a broken filesystem. Will only be used once per runtime.
doc_16843
Applies a 1D adaptive average pooling over an input signal composed of several input planes. See AdaptiveAvgPool1d for details and output shape. Parameters output_size – the target output size (single integer)
doc_16844
Map Python objects to PDF syntax.
doc_16845
Try to choose the view limits intelligently.
doc_16846
Return whether this bounding box overlaps with the other bounding box. Parameters otherBboxBase
doc_16847
A class attribute, as a format string, that describes the SQL that is generated for this function. Defaults to '%(function)s(%(expressions)s)'. If you’re constructing SQL like strftime('%W', 'date') and need a literal % character in the query, quadruple it (%%%%) in the template attribute because the string is interpol...
doc_16848
Check whether the provided array or dtype is of a numeric dtype. Parameters arr_or_dtype:array-like or dtype The array or dtype to check. Returns boolean Whether or not the array or dtype is of a numeric dtype. Examples >>> is_numeric_dtype(str) False >>> is_numeric_dtype(int) True >>> is_numeric_dty...
doc_16849
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_16850
Generalized Linear Model with a Poisson distribution. Read more in the User Guide. New in version 0.23. Parameters alphafloat, default=1 Constant that multiplies the penalty term and thus determines the regularization strength. alpha = 0 is equivalent to unpenalized GLMs. In this case, the design matrix X mus...
doc_16851
You can change the HttpResponse classes used by the middleware by creating a subclass of RedirectFallbackMiddleware and overriding response_gone_class and/or response_redirect_class. response_gone_class The HttpResponse class used when a Redirect is not found for the requested path or has a blank new_path value. De...
doc_16852
Returns True if all elements evaluate to True. The output array is masked where all the values along the given axis are masked: if the output would have been a scalar and that all the values are masked, then the output is masked. Refer to numpy.all for full documentation. See also numpy.ndarray.all corresponding f...
doc_16853
The type of coroutine objects, created by async def functions. New in version 3.5.
doc_16854
Return the visibility.
doc_16855
Return the submatrix corresponding to bicluster i. Parameters iint The index of the cluster. dataarray-like of shape (n_samples, n_features) The data. Returns submatrixndarray of shape (n_rows, n_cols) The submatrix corresponding to bicluster i. Notes Works with sparse matrices. Only works if ro...
doc_16856
Return the current ContentHandler.
doc_16857
Create a LinearSegmentedColormap from a list of colors. Parameters namestr The name of the colormap. colorsarray-like of colors or array-like of (value, color) If only colors are given, they are equidistantly mapped from the range \([0, 1]\); i.e. 0 maps to colors[0] and 1 maps to colors[-1]. If (value, col...
doc_16858
Return True if all characters in the string are alphanumeric and there is at least one character, False otherwise. A character c is alphanumeric if one of the following returns True: c.isalpha(), c.isdecimal(), c.isdigit(), or c.isnumeric().
doc_16859
Represent an address as 16 packed bytes in network (big-endian) order. address is an integer representation of an IPv6 IP address. A ValueError is raised if the integer is negative or too large to be an IPv6 IP address.
doc_16860
See Migration guide for more details. tf.compat.v1.Module tf.Module( name=None ) A module is a named container for tf.Variables, other tf.Modules and functions which apply to user input. For example a dense layer in a neural network might be implemented as a tf.Module: class Dense(tf.Module): def __init__(sel...
doc_16861
Returns True if obj is a PyTorch tensor. Note that this function is simply doing isinstance(obj, Tensor). Using that isinstance check is better for typechecking with mypy, and more explicit - so it’s recommended to use that instead of is_tensor. Parameters obj (Object) – Object to test
doc_16862
Return a new Path with vertices and codes cleaned according to the parameters. See also Path.iter_segments for details of the keyword arguments.
doc_16863
Return the font family name for math text rendered by Matplotlib. The default value is rcParams["mathtext.fontset"] (default: 'dejavusans'). See also set_math_fontfamily
doc_16864
Get the debug mode (bool) of the event loop. The default value is True if the environment variable PYTHONASYNCIODEBUG is set to a non-empty string, False otherwise.
doc_16865
Generate polynomial and interaction features. Generate a new feature matrix consisting of all polynomial combinations of the features with degree less than or equal to the specified degree. For example, if an input sample is two dimensional and of the form [a, b], the degree-2 polynomial features are [1, a, b, a^2, a...
doc_16866
A parenthesized number followed by a comma denotes a tuple with one element. The trailing comma distinguishes a one-element tuple from a parenthesized n. -1 In a dimension entry, instructs NumPy to choose the length that will keep the total number of array elements the same. >>> np.arange(12).reshape(4, -1).shape ...
doc_16867
Date ticklabels often overlap, so it is useful to rotate them and right align them. Also, a common use case is a number of subplots with shared x-axis where the x-axis is date data. The ticklabels are often long, and it helps to rotate them on the bottom subplot and turn them off on other subplots, as well as turn of...
doc_16868
Called when Expat begins parsing the document type declaration (<!DOCTYPE ...). The doctypeName is provided exactly as presented. The systemId and publicId parameters give the system and public identifiers if specified, or None if omitted. has_internal_subset will be true if the document contains and internal document ...
doc_16869
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_16870
Return True if the IntervalIndex has overlapping intervals, else False. Two intervals overlap if they share a common point, including closed endpoints. Intervals that only have an open endpoint in common do not overlap. Returns bool Boolean indicating if the IntervalIndex has overlapping intervals. See also ...
doc_16871
Default widget: Select Empty value: None Normalizes to: A model instance. Validates that the given id exists in the queryset. Error message keys: required, invalid_choice The invalid_choice error message may contain %(value)s, which will be replaced with the selected choice. Allows the selection of a single model ...
doc_16872
Alias for get_linestyle.
doc_16873
Return the data for the specified year ready for formatting. The return value is a list of month rows. Each month row contains up to width months (defaulting to 3). Each month contains between 4 and 6 weeks and each week contains 1–7 days. Days are datetime.date objects.
doc_16874
Set the value array from array-like A. Parameters Aarray-like or None The values that are mapped to colors. The base class ScalarMappable does not make any assumptions on the dimensionality and shape of the value array A.
doc_16875
Construct a ZipInfo instance for a file on the filesystem, in preparation for adding it to a zip file. filename should be the path to a file or directory on the filesystem. If arcname is specified, it is used as the name within the archive. If arcname is not specified, the name will be the same as filename, but with an...
doc_16876
Compute data covariance with the generative model. cov = components_.T * S**2 * components_ + sigma2 * eye(n_features) where S**2 contains the explained variances, and sigma2 contains the noise variances. Returns covarray, shape=(n_features, n_features) Estimated covariance of data.
doc_16877
Set how floating-point errors are handled. Note that operations on integer scalar types (such as int16) are handled like floating point, and are affected by these settings. Parameters all{‘ignore’, ‘warn’, ‘raise’, ‘call’, ‘print’, ‘log’}, optional Set treatment for all types of floating-point errors at once: ...
doc_16878
Display the panel (which might have been hidden).
doc_16879
Update the values in the Morsel dictionary with the values in the dictionary values. Raise an error if any of the keys in the values dict is not a valid RFC 2109 attribute. Changed in version 3.5: an error is raised for invalid keys.
doc_16880
Return the first element of the underlying data as a Python scalar. Returns scalar The first element of %(klass)s. Raises ValueError If the data is not length-1.
doc_16881
Return the snap setting. See set_snap for details.
doc_16882
See Migration guide for more details. tf.compat.v1.raw_ops.MapPeek tf.raw_ops.MapPeek( key, indices, dtypes, capacity=0, memory_limit=0, container='', shared_name='', name=None ) underlying container does not contain this key this op will block until it does. Args key A Tensor of type int64. ind...
doc_16883
Return the string right justified in a string of length width. Padding is done using the specified fillchar (default is an ASCII space). The original string is returned if width is less than or equal to len(s).
doc_16884
Set the norm limits for image scaling. Parameters vmin, vmaxfloat The limits. The limits may also be passed as a tuple (vmin, vmax) as a single positional argument.
doc_16885
View inputs as arrays with at least three dimensions. Parameters arys1, arys2, …array_like One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved. Returns res1, res2, …ndarray An array, or list of arrays, each with a.nd...
doc_16886
The top level container for all the plot elements. The Figure instance supports callbacks through a callbacks attribute which is a CallbackRegistry instance. The events you can connect to are 'dpi_changed', and the callback will be called with func(fig) where fig is the Figure instance. Attributes patch The Recta...
doc_16887
If used, this function should be called before initscr() or newterm are called. When flag is False, the values of lines and columns specified in the terminfo database will be used, even if environment variables LINES and COLUMNS (used by default) are set, or if curses is running in a window (in which case default behav...
doc_16888
Draw samples from the noncentral F distribution. Samples are drawn from an F distribution with specified parameters, dfnum (degrees of freedom in numerator) and dfden (degrees of freedom in denominator), where both parameters > 1. nonc is the non-centrality parameter. Note New code should use the noncentral_f method...
doc_16889
Lower triangle of an array. Return a copy of an array with elements above the k-th diagonal zeroed. For arrays with ndim exceeding 2, tril will apply to the final two axes. Parameters marray_like, shape (…, M, N) Input array. kint, optional Diagonal above which to zero elements. k = 0 (the default) is the m...
doc_16890
Traceback where the memory blocks were allocated, Traceback instance.
doc_16891
Bases: matplotlib.backend_tools.ZoomPanBase Pan axes with left mouse, zoom with right. cursor=4[source] Cursor to use when the tool is active. default_keymap=['p'] Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas. ...
doc_16892
Set multiple properties at once. Supported properties are Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha array-like or scalar or None animated bool antialiased or aa or antialiaseds bool or list of bools array a...
doc_16893
The response of the server if available, as a str object.
doc_16894
Bases: object Sankey diagram. Sankey diagrams are a specific type of flow diagram, in which the width of the arrows is shown proportionally to the flow quantity. They are typically used to visualize energy or material or cost transfers between processes. Wikipedia (6/1/2011) Create a new Sankey instance. The optional...
doc_16895
Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones. One is returned for slices that are all-NaN or empty. New in version 1.10.0. Parameters aarray_like Array containing numbers whose product is desired. If a is not an array, a conversion is attempted. axis{int, tupl...
doc_16896
input_type: 'checkbox' template_name: 'django/forms/widgets/checkbox.html' Renders as: <input type="checkbox" ...> Takes one optional argument: check_test A callable that takes the value of the CheckboxInput and returns True if the checkbox should be checked for that value.
doc_16897
Compute variance of groups, excluding missing values. For multiple groupings, the result index will be a MultiIndex. Parameters ddof:int, default 1 Degrees of freedom. engine:str, default None 'cython' : Runs the operation through C-extensions from cython. 'numba' : Runs the operation through JIT compiled ...
doc_16898
See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingFTRLParameters tf.raw_ops.RetrieveTPUEmbeddingFTRLParameters( num_shards, shard_id, table_id=-1, table_name='', config='', name=None ) An op that retrieves optimization parameters from embedding to host memory. Must be preceded by...
doc_16899
Exception raised when errors occur attempting to parse a file. Changed in version 3.2: The filename attribute and __init__() argument were renamed to source for consistency.