_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_15900 |
Convert a /-separated pathname to one using the OS’s path separator. | |
doc_15901 |
Transform feature->value dicts to array or sparse matrix. Named features not encountered during fit or fit_transform will be silently ignored. Parameters
XMapping or iterable over Mappings of shape (n_samples,)
Dict(s) or Mapping(s) from feature names (arbitrary Python objects) to feature values (strings or con... | |
doc_15902 |
Read XML document into a DataFrame object. New in version 1.3.0. Parameters
path_or_buffer:str, path object, or file-like object
String, path object (implementing os.PathLike[str]), or file-like object implementing a read() function. The string can be any valid XML string or a path. The string can further be ... | |
doc_15903 |
Return self.tzinfo.tzname(self). | |
doc_15904 | The socket object on which the server will listen for incoming requests. | |
doc_15905 |
Return the mapping parameters. The returned values define a linear map off + scl*x that is applied to the input arguments before the series is evaluated. The map depends on the domain and window; if the current domain is equal to the window the resulting map is the identity. If the coefficients of the series instance... | |
doc_15906 |
Return the array type associated with this dtype. Returns
type | |
doc_15907 |
Alias for set_antialiased. | |
doc_15908 | Return True if running on CPython, not on Windows, and configuration not set with WITH_DOC_STRINGS. | |
doc_15909 | Returns a set of permission strings that the user has, both through group and user permissions. If obj is passed in, only returns the permissions for this specific object. | |
doc_15910 |
Set whether the artist is intended to be used in an animation. If True, the artist is excluded from regular drawing of the figure. You have to call Figure.draw_artist / Axes.draw_artist explicitly on the artist. This appoach is used to speed up animations using blitting. See also matplotlib.animation and Faster rende... | |
doc_15911 |
Bases: matplotlib.patheffects.AbstractPathEffect A simple shadow via a filled patch. Parameters
offset(float, float), default: (2, -2)
The (x, y) offset of the shadow in points.
shadow_rgbFacecolor
The shadow color.
alphafloat, default: 0.3
The alpha transparency of the created shadow patch. http://matp... | |
doc_15912 |
Return the product of array elements over a given axis. Parameters
aarray_like
Input data.
axisNone or int or tuple of ints, optional
Axis or axes along which a product is performed. The default, axis=None, will calculate the product of all the elements in the input array. If axis is negative it counts from... | |
doc_15913 |
Return the horizontal alignment as a string. Will be one of 'left', 'center' or 'right'. | |
doc_15914 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_15915 |
Returns a field of the given array as a certain type. A field is a view of the array data with a given data-type. The values in the view are determined by the given type and the offset into the current array in bytes. The offset needs to be such that the view dtype fits in the array dtype; for example an array of dty... | |
doc_15916 | Yields 2-tuple choices, in the (value, label) format used by ChoiceField.choices. The first value element is a ModelChoiceIteratorValue instance. | |
doc_15917 |
Warning class used if there is an error while fitting the estimator. This Warning is used in meta estimators GridSearchCV and RandomizedSearchCV and the cross-validation helper function cross_val_score to warn when there is an error while fitting the estimator. Changed in version 0.18: Moved from sklearn.cross_valid... | |
doc_15918 |
Get location and sliced index for requested label(s)/level(s). Parameters
key:label or sequence of labels
level:int/level name or list thereof, optional
drop_level:bool, default True
If False, the resulting index will not drop any level. Returns
loc:A 2-tuple where the elements are:
Element 0: int, ... | |
doc_15919 | This doesn’t actually modify the message’s payload, but it does set the Content-Transfer-Encoding header to either 7bit or 8bit as appropriate, based on the payload data. | |
doc_15920 | Return the current ErrorHandler. | |
doc_15921 |
Bases: matplotlib.backend_bases.Event An event triggered by a canvas resize. A ResizeEvent has a number of special attributes in addition to those defined by the parent Event class. Attributes
widthint
Width of the canvas in pixels.
heightint
Height of the canvas in pixels. | |
doc_15922 | Blit directly from a array values blit_array(Surface, array) -> None Directly copy values from an array into a Surface. This is faster than converting the array into a Surface and blitting. The array must be the same dimensions as the Surface and will completely replace all pixel values. Only integer, ASCII character... | |
doc_15923 |
Set the y-axis scale. Parameters
value{"linear"}
The axis scale type to apply. 3D axes currently only support linear scales; other scales yield nonsensical results. **kwargs
Keyword arguments are nominally forwarded to the scale class, but none of them is applicable for linear scales. | |
doc_15924 | Terminate the process. On Unix this is done using the SIGTERM signal; on Windows TerminateProcess() is used. Note that exit handlers and finally clauses, etc., will not be executed. Note that descendant processes of the process will not be terminated – they will simply become orphaned. Warning If this method is used w... | |
doc_15925 | tf.nn.sigmoid_cross_entropy_with_logits(
labels=None, logits=None, name=None
)
Measures the probability error in discrete classification tasks in which each class is independent and not mutually exclusive. For instance, one could perform multilabel classification where a picture can contain both an elephant and a ... | |
doc_15926 | Reached the buffer size limit while looking for a separator. Raised by the asyncio stream APIs.
consumed
The total number of to be consumed bytes. | |
doc_15927 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_15928 | See Migration guide for more details. tf.compat.v1.test.benchmark_config
tf.test.benchmark_config()
Returns A TensorFlow ConfigProto object. | |
doc_15929 | This class can be used to generate HTML calendars. HTMLCalendar instances have the following methods:
formatmonth(theyear, themonth, withyear=True)
Return a month’s calendar as an HTML table. If withyear is true the year will be included in the header, otherwise just the month name will be used.
formatyear(they... | |
doc_15930 | See Migration guide for more details. tf.compat.v1.image.rgb_to_grayscale
tf.image.rgb_to_grayscale(
images, name=None
)
Outputs a tensor of the same DType and rank as images. The size of the last dimension of the output is 1, containing the Grayscale value of the pixels.
original = tf.constant([[[1.0, 2.0, 3.0... | |
doc_15931 |
Converts a flat index or array of flat indices into a tuple of coordinate arrays. Parameters
indicesarray_like
An integer array whose elements are indices into the flattened version of an array of dimensions shape. Before version 1.6.0, this function accepted just one index value.
shapetuple of ints
The sha... | |
doc_15932 | Check if child process has terminated. Set and return returncode attribute. Otherwise, returns None. | |
doc_15933 | Return True if the locals in this table can be optimized. | |
doc_15934 |
Return the position of the Axes within the figure as a Bbox. Parameters
originalbool
If True, return the original position. Otherwise return the active position. For an explanation of the positions see set_position. Returns
Bbox
Examples using matplotlib.axes.Axes.get_position
Contour Demo | |
doc_15935 | Return an instance of a dict subclass that has methods specialized for rearranging dictionary order. New in version 3.1.
popitem(last=True)
The popitem() method for ordered dictionaries returns and removes a (key, value) pair. The pairs are returned in LIFO order if last is true or FIFO order if false.
move_t... | |
doc_15936 | An integer giving the maximum value a variable of type Py_ssize_t can take. It’s usually 2**31 - 1 on a 32-bit platform and 2**63 - 1 on a 64-bit platform. | |
doc_15937 | Set the file pointer to the specified position. | |
doc_15938 |
Run a specific node n and return the result. Calls into placeholder, get_attr, call_function, call_method, call_module, or output depending on node.op Parameters
n (Node) – The Node to execute Returns
The result of executing n Return type
Any | |
doc_15939 |
Bases: matplotlib.widgets._SelectorWidget Visually select a min/max range on a single axis and call a function with those values. To guarantee that the selector remains responsive, keep a reference to it. In order to turn off the SpanSelector, set span_selector.active to False. To turn it back on, set it to True. Pre... | |
doc_15940 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalSlidingWindowDataset
tf.raw_ops.ExperimentalSlidingWindowDataset(
input_dataset, window_size, window_shift, window_stride, output_types,
output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
window_size A ... | |
doc_15941 |
Return the cursor data for a given event. Note This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. Cursor data can be used by Artists to provide additional context information for a given event. The default implementation ju... | |
doc_15942 |
Get parameters for this estimator. Returns the parameters given in the constructor as well as the estimators contained within the steps of the Pipeline. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsmapp... | |
doc_15943 | See Migration guide for more details. tf.compat.v1.raw_ops.GatherNd
tf.raw_ops.GatherNd(
params, indices, name=None
)
indices is a K-dimensional integer tensor, best thought of as a (K-1)-dimensional tensor of indices into params, where each element defines a slice of params: output[\\(i_0, ..., i_{K-2}\\)] = pa... | |
doc_15944 | See Migration guide for more details. tf.compat.v1.train.JobDef
Attributes
name string name
tasks repeated TasksEntry tasks Child Classes class TasksEntry | |
doc_15945 |
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_15946 | Add all the tests from an iterable of TestCase and TestSuite instances to this test suite. This is equivalent to iterating over tests, calling addTest() for each element. | |
doc_15947 |
Convert continuous line to pre-steps. Given a set of N points, convert to 2N - 1 points, which when connected linearly give a step function which changes values at the beginning of the intervals. Parameters
xarray
The x location of the steps. May be empty.
y1, ..., yparray
y arrays to be turned into steps; ... | |
doc_15948 | Try to find a library and return a pathname. name is the library name without any prefix like lib, suffix like .so, .dylib or version number (this is the form used for the posix linker option -l). If no library can be found, returns None. The exact functionality is system dependent. | |
doc_15949 | The equivalent to the built-in repr() that uses the formatting imposed by the instance. | |
doc_15950 | skimage.exposure.adjust_gamma(image[, …]) Performs Gamma Correction on the input image.
skimage.exposure.adjust_log(image[, gain, inv]) Performs Logarithmic correction on the input image.
skimage.exposure.adjust_sigmoid(image[, …]) Performs Sigmoid Correction on the input image.
skimage.exposure.cumulative_distri... | |
doc_15951 | Casts all floating point parameters and buffers to half datatype. Returns
self Return type
Module | |
doc_15952 | Callable object that constructs a test suite from a list of tests. No methods on the resulting object are needed. The default value is the TestSuite class. This affects all the loadTestsFrom*() methods. | |
doc_15953 | class sklearn.preprocessing.Normalizer(norm='l2', *, copy=True) [source]
Normalize samples individually to unit norm. Each sample (i.e. each row of the data matrix) with at least one non zero component is rescaled independently of other samples so that its norm (l1, l2 or inf) equals one. This transformer is able to ... | |
doc_15954 |
Set the tilt angle of the annulus. Parameters
anglefloat | |
doc_15955 | See torch.abs() | |
doc_15956 |
Generate coordinates of pixels within ellipse. Parameters
r, cdouble
Centre coordinate of ellipse.
r_radius, c_radiusdouble
Minor and major semi-axes. (r/r_radius)**2 + (c/c_radius)**2 = 1.
shapetuple, optional
Image shape which is used to determine the maximum extent of output pixel coordinates. This i... | |
doc_15957 | Return a human-readable message describing the error condition. | |
doc_15958 | The base class for the exceptions that are raised when a key or index used on a mapping or sequence is invalid: IndexError, KeyError. This can be raised directly by codecs.lookup(). | |
doc_15959 |
Convert y using the unit type of the yaxis. If the artist is not in contained in an Axes or if the yaxis does not have units, y itself is returned. | |
doc_15960 | tf.estimator.DNNClassifier(
hidden_units, feature_columns, model_dir=None, n_classes=2, weight_column=None,
label_vocabulary=None, optimizer='Adagrad', activation_fn=tf.nn.relu,
dropout=None, config=None, warm_start_from=None,
loss_reduction=losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE, batch_norm=False... | |
doc_15961 |
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_15962 |
Join arrays r1 and r2 on keys. Alternative to join_by, that always returns a np.recarray. See also join_by
equivalent function | |
doc_15963 | '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_15964 |
Returns the random number generator state as a torch.ByteTensor. | |
doc_15965 |
Return the complex conjugate, element-wise. Refer to numpy.conjugate for full documentation. See also numpy.conjugate
equivalent function | |
doc_15966 | Returns None as extension modules do not have source code. | |
doc_15967 | This is a NamedNodeMap giving the definitions of external entities. For entity names defined more than once, only the first definition is provided (others are ignored as required by the XML recommendation). This may be None if the information is not provided by the parser, or if no entities are defined. | |
doc_15968 |
Differentiate. Return a series instance of that is the derivative of the current series. Parameters
mnon-negative int
Find the derivative of order m. Returns
new_seriesseries
A new series representing the derivative. The domain is the same as the domain of the differentiated series. | |
doc_15969 |
Fit Ridge classifier with cv. Parameters
Xndarray of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of features. When using GCV, will be cast to float64 if necessary.
yndarray of shape (n_samples,)
Target values. Will be cast to X’s dtyp... | |
doc_15970 |
Bases: matplotlib.widgets.SliderBase A slider representing a range of floating point values. Defines the min and max of the range via the val attribute as a tuple of (min, max). Create a slider that defines a range contained within [valmin, valmax] in axes ax. For the slider to remain responsive you must maintain a r... | |
doc_15971 | The type of modules. The constructor takes the name of the module to be created and optionally its docstring. Note Use importlib.util.module_from_spec() to create a new module if you wish to set the various import-controlled attributes.
__doc__
The docstring of the module. Defaults to None.
__loader__
The l... | |
doc_15972 | tf.experimental.numpy.argsort(
a, axis=-1, kind='quicksort', order=None
)
See the NumPy documentation for numpy.argsort. | |
doc_15973 | Close the write end of the transport after flushing all buffered data. Data may still be received. This method can raise NotImplementedError if the transport (e.g. SSL) doesn’t support half-closed connections. | |
doc_15974 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_15975 |
γ = 0.5772156649015328606065120900824024310421... References https://en.wikipedia.org/wiki/Euler-Mascheroni_constant | |
doc_15976 |
Return an array with the elements converted to uppercase. Calls str.upper element-wise. For 8-bit strings, this method is locale-dependent. Parameters
aarray_like, {str, unicode}
Input array. Returns
outndarray, {str, unicode}
Output array of str or unicode, depending on input type See also str.up... | |
doc_15977 |
Lazily iterate over (index, value) tuples. This method returns an iterable tuple (index, value). This is convenient if you want to create a lazy iterator. Returns
iterable
Iterable of tuples containing the (index, value) pairs from a Series. See also DataFrame.items
Iterate over (column name, Series) pairs... | |
doc_15978 | tf.experimental.numpy.arctan2(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arctan2. | |
doc_15979 |
Sort a complex array using the real part first, then the imaginary part. Parameters
aarray_like
Input array Returns
outcomplex ndarray
Always returns a sorted complex array. Examples >>> np.sort_complex([5, 3, 6, 2, 1])
array([1.+0.j, 2.+0.j, 3.+0.j, 5.+0.j, 6.+0.j])
>>> np.sort_complex([1 + 2j, 2 ... | |
doc_15980 | The line number within filename where this DocTest begins, or None if the line number is unavailable. This line number is zero-based with respect to the beginning of the file. | |
doc_15981 | If not specified, the directory to serve is the current working directory. Changed in version 3.9: Accepts a path-like object. | |
doc_15982 | Insert a simple entry into the list of warnings filter specifications. The meaning of the function parameters is as for filterwarnings(), but regular expressions are not needed as the filter inserted always matches any message in any module as long as the category and line number match. | |
doc_15983 |
Alias for get_linewidth. | |
doc_15984 |
Return the path of this patch. | |
doc_15985 |
Element-wise arc tangent of x1/x2 choosing the quadrant correctly. The quadrant (i.e., branch) is chosen so that arctan2(x1, x2) is the signed angle in radians between the ray ending at the origin and passing through the point (1,0), and the ray ending at the origin and passing through the point (x2, x1). (Note the r... | |
doc_15986 | Open a bzip2-compressed file in binary or text mode, returning a file object. As with the constructor for BZ2File, the filename argument can be an actual filename (a str or bytes object), or an existing file object to read from or write to. The mode argument can be any of 'r', 'rb', 'w', 'wb', 'x', 'xb', 'a' or 'ab' fo... | |
doc_15987 | Return value as a string to be rendered in HTML. | |
doc_15988 |
Convert coefficient matrix to dense array format. Converts the coef_ member (back) to a numpy.ndarray. This is the default format of coef_ and is required for fitting, so calling this method is only required on models that have previously been sparsified; otherwise, it is a no-op. Returns
self
Fitted estimator. | |
doc_15989 | See Migration guide for more details. tf.compat.v1.feature_column.categorical_column_with_vocabulary_list
tf.feature_column.categorical_column_with_vocabulary_list(
key, vocabulary_list, dtype=None, default_value=-1, num_oov_buckets=0
)
Use this when your inputs are in string or integer format, and you have an i... | |
doc_15990 | Return a string representing the “From ” line that marks the start of the message in an mbox mailbox. The leading “From ” and the trailing newline are excluded. | |
doc_15991 |
Set the url for the artist. Parameters
urlstr | |
doc_15992 | See Migration guide for more details. tf.compat.v1.raw_ops.Bucketize
tf.raw_ops.Bucketize(
input, boundaries, name=None
)
For example, if the inputs are boundaries = [0, 10, 100] input = [[-5, 10000] [150, 10] [5, 100]] then the output will be output = [[0, 3] [3, 2] [1, 3]]
Args
input A Tensor. Must be... | |
doc_15993 | If inclusive is True (include), match memory blocks allocated in the address space domain. If inclusive is False (exclude), match memory blocks not allocated in the address space domain. | |
doc_15994 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_15995 | fcntl.fcntl(fd, cmd, arg=0)
Perform the operation cmd on file descriptor fd (file objects providing a fileno() method are accepted as well). The values used for cmd are operating system dependent, and are available as constants in the fcntl module, using the same names as used in the relevant C header files. The argu... | |
doc_15996 | Fills self tensor with numbers samples from the log-normal distribution parameterized by the given mean μ\mu and standard deviation σ\sigma . Note that mean and std are the mean and standard deviation of the underlying normal distribution, and not of the returned distribution: f(x)=1xσ2πe−(lnx−μ)22σ2f(x) = \dfrac{1}... | |
doc_15997 |
Set the artist offset transform. Parameters
transOffsetTransform | |
doc_15998 |
Alias for get_linewidth. | |
doc_15999 | Boolean flag that is True if the field has a many-to-one relation, such as a ForeignKey; False otherwise. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.