_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_12300 |
Return a short string version of the tick value. Defaults to the position-independent long value. | |
doc_12301 | By default (when DEBUG is True), the template system reads and compiles your templates every time they’re rendered. While the Django template system is quite fast, the overhead from reading and compiling templates can add up. You configure the cached template loader with a list of other loaders that it should wrap. The... | |
doc_12302 | New in Django 3.2. Property that returns a pathlib.Path representing the absolute filesystem path to a template for rendering the HTML representation of the exception. Defaults to the Django provided template. | |
doc_12303 |
Set the path effects. Parameters
path_effectsAbstractPathEffect | |
doc_12304 | Return the file descriptor number of the control fd. | |
doc_12305 |
Return whether the string s contains math expressions. This is done by checking whether s contains an even number of non-escaped dollar signs. | |
doc_12306 | Return a pretty-printed version of the document. indent specifies the indentation string and defaults to a tabulator; newl specifies the string emitted at the end of each line and defaults to \n. The encoding argument behaves like the corresponding argument of toxml(). The standalone argument behaves exactly as in writ... | |
doc_12307 |
The last colorbar associated with this ScalarMappable. May be None. | |
doc_12308 |
Unsharp masking filter. The sharp details are identified as the difference between the original image and its blurred version. These details are then scaled, and added back to the original image. Parameters
image[P, …, ]M[, N][, C] ndarray
Input image.
radiusscalar or sequence of scalars, optional
If a scal... | |
doc_12309 | Handle a notation declaration event. | |
doc_12310 | The same as fold() if cte_type is 7bit, except that the returned value is bytes. If cte_type is 8bit, non-ASCII binary data is converted back into bytes. Headers with binary data are not refolded, regardless of the refold_header setting, since there is no way to know whether the binary data consists of single byte char... | |
doc_12311 | Returns the mean of the distribution. | |
doc_12312 | The affine transformation matrix used to georeference the source, as a tuple of six coefficients which map pixel/line coordinates into georeferenced space using the following relationship: Xgeo = GT(0) + Xpixel*GT(1) + Yline*GT(2)
Ygeo = GT(3) + Xpixel*GT(4) + Yline*GT(5)
The same values can be retrieved by accessing ... | |
doc_12313 | Current byte index in the parser input. | |
doc_12314 | For common and simple use cases, no other functionality is required. There are, however, some dataclass features that require additional per-field information. To satisfy this need for additional information, you can replace the default field value with a call to the provided field() function. For example: @dataclass
c... | |
doc_12315 |
Return whether units are set on any axis. | |
doc_12316 |
Elastic Net model with iterative fitting along a regularization path. See glossary entry for cross-validation estimator. Read more in the User Guide. Parameters
l1_ratiofloat or list of float, default=0.5
float between 0 and 1 passed to ElasticNet (scaling between l1 and l2 penalties). For l1_ratio = 0 the pena... | |
doc_12317 | Return time object with same hour, minute, second, microsecond, fold, and tzinfo attributes. See also method time(). Changed in version 3.6: The fold value is copied to the returned time object. | |
doc_12318 | Close the gdbm database. | |
doc_12319 |
Mean squared error regression loss. Read more in the User Guide. Parameters
y_truearray-like of shape (n_samples,) or (n_samples, n_outputs)
Ground truth (correct) target values.
y_predarray-like of shape (n_samples,) or (n_samples, n_outputs)
Estimated target values.
sample_weightarray-like of shape (n_s... | |
doc_12320 | Call the system initgroups() to initialize the group access list with all of the groups of which the specified username is a member, plus the specified group id. Availability: Unix. New in version 3.2. | |
doc_12321 |
Observer module for computing the quantization parameters based on the running min and max values. This observer uses the tensor min/max statistics to compute the quantization parameters. The module records the running minimum and maximum of incoming tensors, and uses this statistic to compute the quantization parame... | |
doc_12322 | socket.SOCK_DGRAM
socket.SOCK_RAW
socket.SOCK_RDM
socket.SOCK_SEQPACKET
These constants represent the socket types, used for the second argument to socket(). More constants may be available depending on the system. (Only SOCK_STREAM and SOCK_DGRAM appear to be generally useful.) | |
doc_12323 |
Make a plot with log scaling on the x axis. Call signatures: semilogx([x], y, [fmt], data=None, **kwargs)
semilogx([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
This is just a thin wrapper around plot which additionally changes the x-axis to log scaling. All of the concepts and parameters of plot can be used here ... | |
doc_12324 | The mathematical constant π = 3.141592…, to available precision. | |
doc_12325 |
Predict x- and y-coordinates using the estimated model. Parameters
tarray
Angles in circle in radians. Angles start to count from positive x-axis to positive y-axis in a right-handed system.
params(3, ) array, optional
Optional custom parameter set. Returns
xy(…, 2) array
Predicted x- and y-coordina... | |
doc_12326 |
An iterable Dataset. All datasets that represent an iterable of data samples should subclass it. Such form of datasets is particularly useful when data come from a stream. All subclasses should overwrite __iter__(), which would return an iterator of samples in this dataset. When a subclass is used with DataLoader, ea... | |
doc_12327 |
Backward fill the new missing values in the resampled data. In statistics, imputation is the process of replacing missing data with substituted values [1]. When resampling data, missing values may appear (e.g., when the resampling frequency is higher than the original frequency). The backward fill will replace NaN va... | |
doc_12328 |
Return the corresponding inverse transformation. It holds x == self.inverted().transform(self.transform(x)). The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy. | |
doc_12329 | class sklearn.discriminant_analysis.LinearDiscriminantAnalysis(solver='svd', shrinkage=None, priors=None, n_components=None, store_covariance=False, tol=0.0001, covariance_estimator=None) [source]
Linear Discriminant Analysis A classifier with a linear decision boundary, generated by fitting class conditional densiti... | |
doc_12330 | The flask object implements a WSGI application and acts as the central object. It is passed the name of the module or package of the application. Once it is created it will act as a central registry for the view functions, the URL rules, template configuration and much more. The name of the package is used to resolve r... | |
doc_12331 |
Raises an AssertionError if two objects are not equal. Given two objects (scalars, lists, tuples, dictionaries or numpy arrays), check that all elements of these objects are equal. An exception is raised at the first conflicting values. When one of actual and desired is a scalar and the other is array_like, the funct... | |
doc_12332 |
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_12333 | Returns the cross product of vectors in dimension dim of input and other. input and other must have the same size, and the size of their dim dimension should be 3. If dim is not given, it defaults to the first dimension found with the size 3. Note that this might be unexpected. Parameters
input (Tensor) – the input... | |
doc_12334 |
Returns the indices that would sort this array. Refer to numpy.argsort for full documentation. See also numpy.argsort
equivalent function | |
doc_12335 |
Return a Path for the unit circle arc from angles theta1 to theta2 (in degrees). theta2 is unwrapped to produce the shortest arc within 360 degrees. That is, if theta2 > theta1 + 360, the arc will be from theta1 to theta2 - 360 and not a full circle plus some extra overlap. If n is provided, it is the number of splin... | |
doc_12336 | Override this in subclasses to use a custom SMTPChannel for managing SMTP clients. | |
doc_12337 |
For image backends - is not required. For GUI backends - show() is usually the last line of a pyplot script and tells the backend that it is time to draw. In interactive mode, this should do nothing. | |
doc_12338 |
Parameters
impulse_responsecallable f(r, c, **filter_params)
Function that yields the impulse response. r and c are 1-dimensional vectors that represent row and column positions, in other words coordinates are (r[0],c[0]),(r[0],c[1]) etc. **filter_params are passed through. In other words, impulse_response woul... | |
doc_12339 |
Perform a diameter closing of the image. Diameter closing removes all dark structures of an image with maximal extension smaller than diameter_threshold. The maximal extension is defined as the maximal extension of the bounding box. The operator is also called Bounding Box Closing. In practice, the result is similar ... | |
doc_12340 |
Return the axis offsetText as a Text instance. | |
doc_12341 | See Migration guide for more details. tf.compat.v1.raw_ops.TPUCompilationResult
tf.raw_ops.TPUCompilationResult(
name=None
)
This operation returns the result of a TPU compilation as a serialized CompilationResultProto, which holds a status and an error message if an error occurred during compilation.
Args
... | |
doc_12342 |
Return the yaxis' scale (as a str). | |
doc_12343 | The value of the stop parameter | |
doc_12344 |
Detect non-missing values for an array-like object. This function takes a scalar or array-like object and indicates whether values are valid (not missing, which is NaN in numeric arrays, None or NaN in object arrays, NaT in datetimelike). Parameters
obj:array-like or object value
Object to check for not null or... | |
doc_12345 | Read the pickled representation of an object from the open file object given in the constructor, and return the reconstituted object hierarchy specified therein. Bytes past the pickled representation of the object are ignored. | |
doc_12346 |
Update solid patches, lines, etc. This is meant to be called when the norm of the image or contour plot to which this colorbar belongs changes. If the norm on the mappable is different than before, this resets the locator and formatter for the axis, so if these have been customized, they will need to be customized ag... | |
doc_12347 |
Reorder categories as specified in new_categories. new_categories need to include all old categories and no new category items. Parameters
new_categories:Index-like
The categories in new order.
ordered:bool, optional
Whether or not the categorical is treated as a ordered categorical. If not given, do not ch... | |
doc_12348 | Return True if the node has any child nodes. | |
doc_12349 | Should return True if displaying the module on the admin index page and accessing the module’s index page is permitted, False otherwise. Uses User.has_module_perms() by default. Overriding it does not restrict access to the view, add, change, or delete views, has_view_permission(), has_add_permission(), has_change_perm... | |
doc_12350 |
Return the day of the year. This attribute returns the day of the year on which the particular date occurs. The return value ranges between 1 to 365 for regular years and 1 to 366 for leap years. Returns
int
The day of year. See also Period.day
Return the day of the month. Period.day_of_week
Return the d... | |
doc_12351 | The CSS class for the table head for the whole year (used by formatyear()). The default value is "year". New in version 3.7. | |
doc_12352 | Execute the code at the named filesystem location and return the resulting module globals dictionary. As with a script name supplied to the CPython command line, the supplied path may refer to a Python source file, a compiled bytecode file or a valid sys.path entry containing a __main__ module (e.g. a zipfile containin... | |
doc_12353 | Compile the file with path fullname. Return a true value if the file compiled successfully, and a false value otherwise. If ddir is given, it is prepended to the path to the file being compiled for use in compilation time tracebacks, and is also compiled in to the byte-code file, where it will be used in tracebacks and... | |
doc_12354 | tf.size(
input, out_type=tf.dtypes.int32, name=None
)
See also tf.shape. Returns a 0-D Tensor representing the number of elements in input of type out_type. Defaults to tf.int32. For example:
t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.size(t)
<tf.Tensor: shape=(), dtype=int32, numpy=12>
... | |
doc_12355 |
Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just like with hstack. 1-D arrays are turned into 2-D columns first. Parameters
tupsequence of 1-D or 2-D arrays.
Arrays to stack. All of them must have... | |
doc_12356 |
Set the facecolor(s) of the collection. c can be a color (all patches have same color), or a sequence of colors; if it is a sequence the patches will cycle through the sequence. If c is 'none', the patch will not be filled. Parameters
ccolor or list of colors | |
doc_12357 |
Applies a 1D average 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,L)(N, C, L) , output (N,C,Lout)(N, C, L_{out}) and kernel_size kk can be precisely described as: out(Ni,Cj,l)=1k∑m=0k−1input(Ni,Cj,stride×l+m)\text{out}(N_i, ... | |
doc_12358 | tf.image.resize_with_pad(
image, target_height, target_width, method=ResizeMethod.BILINEAR,
antialias=False
)
Resizes an image to a target width and height by keeping the aspect ratio the same without distortion. If the target dimensions don't match the image dimensions, the image is resized and then padded wi... | |
doc_12359 | The main configuration parser. When defaults is given, it is initialized into the dictionary of intrinsic defaults. When dict_type is given, it will be used to create the dictionary objects for the list of sections, for the options within a section, and for the default values. When delimiters is given, it is used as th... | |
doc_12360 | Return disk usage statistics about the given path as a named tuple with the attributes total, used and free, which are the amount of total, used and free space, in bytes. path may be a file or a directory. New in version 3.3. Changed in version 3.8: On Windows, path can now be a file or directory. Availability: Uni... | |
doc_12361 |
Return the zaxis' grid lines as a list of Line2Ds. | |
doc_12362 |
nd_grid instance which returns an open multi-dimensional “meshgrid”. An instance of numpy.lib.index_tricks.nd_grid which returns an open (i.e. not fleshed out) mesh-grid when indexed, so that only one dimension of each returned array is greater than 1. The dimension and number of the output arrays are equal to the nu... | |
doc_12363 | See Migration guide for more details. tf.compat.v1.raw_ops.FakeParam
tf.raw_ops.FakeParam(
dtype, shape, name=None
)
valid output when run, so must either be removed (e.g. replaced with a function input) or guaranteed not to be used (e.g. if mirroring an intermediate output needed for the gradient computation of... | |
doc_12364 | A behavioral change was requested after parsing started that can only be changed before parsing has started. This is (currently) only raised by UseForeignDTD(). | |
doc_12365 | Copies parameters and buffers from state_dict into this module and its descendants. If strict is True, then the keys of state_dict must exactly match the keys returned by this module’s state_dict() function. Parameters
state_dict (dict) – a dict containing parameters and persistent buffers.
strict (bool, optional)... | |
doc_12366 |
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_12367 | See torch.round() | |
doc_12368 | class sklearn.model_selection.ParameterSampler(param_distributions, n_iter, *, random_state=None) [source]
Generator on parameters sampled from given distributions. Non-deterministic iterable over random candidate combinations for hyper- parameter search. If all parameters are presented as a list, sampling without re... | |
doc_12369 | Expansion field data. The PKZIP Application Note contains some comments on the internal structure of the data contained in this bytes object. | |
doc_12370 |
Return the bbox that the box is anchored to. | |
doc_12371 | Insert x in a in sorted order. This is equivalent to a.insert(bisect.bisect_left(a, x, lo, hi), x) assuming that a is already sorted. Keep in mind that the O(log n) search is dominated by the slow O(n) insertion step. | |
doc_12372 |
Bases: matplotlib.collections.PathCollection A collection of 3D paths. Create a collection of flat 3D paths with its normal vector pointed in zdir direction, and located at zs on the zdir axis. 'zs' can be a scalar or an array-like of the same length as the number of paths in the collection. Constructor arguments are... | |
doc_12373 | operator.__pow__(a, b)
Return a ** b, for a and b numbers. | |
doc_12374 |
Prefix labels with string prefix. For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed. Parameters
prefix:str
The string to add before each label. Returns
Series or DataFrame
New Series or DataFrame with updated labels. See also Series.add_suffix
Suffix row labels ... | |
doc_12375 |
Return boolean if values in the object are unique. Returns
bool | |
doc_12376 |
Set how the Axes adjusts to achieve the required aspect ratio. Parameters
adjustable{'box', 'datalim'}
If 'box', change the physical dimensions of the Axes. If 'datalim', change the x or y data limits.
sharebool, default: False
If True, apply the settings to all shared Axes. See also matplotlib.axes.A... | |
doc_12377 |
Return a new Timestamp representing UTC day and time. Examples
>>> pd.Timestamp.utcnow()
Timestamp('2020-11-16 22:50:18.092888+0000', tz='UTC') | |
doc_12378 | Returns the top panel in the panel stack. | |
doc_12379 | Creates a subkey under the specified key and stores registration information from a specified file into that subkey. key is a handle returned by ConnectRegistry() or one of the constants HKEY_USERS or HKEY_LOCAL_MACHINE. sub_key is a string that identifies the subkey to load. file_name is the name of the file to load r... | |
doc_12380 |
Alias for set_antialiased. | |
doc_12381 | Set the scheduling policy for the process with PID pid. A pid of 0 means the calling process. policy is one of the scheduling policy constants above. param is a sched_param instance. | |
doc_12382 | tf.compat.v1.expand_dims(
input, axis=None, name=None, dim=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (dim). They will be removed in a future version. Instructions for updating: Use the axis argument instead Given a tensor input, this operation inserts a dimension of length 1 at the dimension index axis of inp... | |
doc_12383 | Pops the request context and unbinds it by doing that. This will also trigger the execution of functions registered by the teardown_request() decorator. Changelog Changed in version 0.9: Added the exc argument. Parameters
exc (Optional[BaseException]) – Return type
None | |
doc_12384 | Exception raised on various occasions; argument is a string describing what is wrong. | |
doc_12385 | Called once after all tests are executed. New in version 3.1. | |
doc_12386 | Bootstraps pip into the current or designated environment. root specifies an alternative root directory to install relative to. If root is None, then installation uses the default install location for the current environment. upgrade indicates whether or not to upgrade an existing installation of an earlier version of ... | |
doc_12387 | Change the current working directory to the directory represented by the file descriptor fd. The descriptor must refer to an opened directory, not an open file. As of Python 3.3, this is equivalent to os.chdir(fd). Raises an auditing event os.chdir with argument path. Availability: Unix. | |
doc_12388 | Hamming window function. w[n]=α−βcos(2πnN−1),w[n] = \alpha - \beta\ \cos \left( \frac{2 \pi n}{N - 1} \right),
where NN is the full window size. The input window_length is a positive integer controlling the returned window size. periodic flag determines whether the returned window trims off the last duplicate valu... | |
doc_12389 | See Migration guide for more details. tf.compat.v1.raw_ops.IteratorFromStringHandleV2
tf.raw_ops.IteratorFromStringHandleV2(
string_handle, output_types=[], output_shapes=[], name=None
)
Args
string_handle A Tensor of type string.
output_types An optional list of tf.DTypes. Defaults to [].
out... | |
doc_12390 | Represent the C bool datatype (more accurately, _Bool from C99). Its value can be True or False, and the constructor accepts any object that has a truth value. | |
doc_12391 |
Use axis view limits to control which ticks are labeled. The locs parameter is ignored in the present algorithm. | |
doc_12392 |
Calculate the rolling standard deviation. Parameters
ddof:int, default 1
Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. *args
For NumPy compatibility and will not have an effect on the result.
engine:str, default None
'cython' : Runs the... | |
doc_12393 | This class is an abstract subclass of asyncore.dispatcher. To make practical use of the code you must subclass async_chat, providing meaningful collect_incoming_data() and found_terminator() methods. The asyncore.dispatcher methods can be used, although not all make sense in a message/response context. Like asyncore.di... | |
doc_12394 | sklearn.tree.export_text(decision_tree, *, feature_names=None, max_depth=10, spacing=3, decimals=2, show_weights=False) [source]
Build a text report showing the rules of a decision tree. Note that backwards compatibility may not be supported. Parameters
decision_treeobject
The decision tree estimator to be expo... | |
doc_12395 |
Peak to peak (maximum - minimum) value along a given axis. Refer to numpy.ptp for full documentation. See also numpy.ptp
equivalent function | |
doc_12396 |
backward(self: torch._C._distributed_rpc.PyRRef, dist_autograd_ctx_id: int = -1, retain_graph: bool = False) → None Runs the backward pass using the RRef as the root of the backward pass. If dist_autograd_ctx_id is provided, we perform a distributed backward pass using the provided ctx_id starting from the owner ... | |
doc_12397 | Parse a query string and return it as a MultiDict. Parameters
s (AnyStr) – The query string to parse.
charset (str) – Decode bytes to string with this charset. If not given, bytes are returned as-is.
include_empty (bool) – Include keys with empty values in the dict.
errors (str) – Error handling behavior when de... | |
doc_12398 |
Get the current Axes. If there is currently no Axes on this Figure, a new one is created using Figure.add_subplot. (To test whether there is currently an Axes on a Figure, check whether figure.axes is empty. To test whether there is currently a Figure on the pyplot figure stack, check whether pyplot.get_fignums() is ... | |
doc_12399 | Finds the first subelement matching match. match may be a tag name or a path. Returns an element instance or None. namespaces is an optional mapping from namespace prefix to full name. Pass '' as prefix to move all unprefixed tag names in the expression into the given namespace. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.