_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_22100 |
Create axes that can act as a hosts to parasitic axes. Parameters
figurematplotlib.figure.Figure
Figure to which the axes will be added. Defaults to the current figure pyplot.gcf(). *args, **kwargs
Will be passed on to the underlying Axes object creation. | |
doc_22101 | The string '01234567'. | |
doc_22102 | Returns the list of elements defined in the current theme. | |
doc_22103 | False if the decompress() method can provide more decompressed data before requiring new uncompressed input. New in version 3.5. | |
doc_22104 |
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_22105 | See Migration guide for more details. tf.compat.v1.raw_ops.SelfAdjointEigV2
tf.raw_ops.SelfAdjointEigV2(
input, compute_v=True, name=None
)
Computes the eigenvalues and (optionally) eigenvectors of each inner matrix in input such that input[..., :, :] = v[..., :, :] * diag(e[..., :]). The eigenvalues are sorted ... | |
doc_22106 | Round to nearest with ties going towards zero. | |
doc_22107 |
Identity function. If p is the returned series, then p(x) == x for all values of x. Parameters
domain{None, array_like}, optional
If given, the array must be of the form [beg, end], where beg and end are the endpoints of the domain. If None is given then the class domain is used. The default is None.
window{N... | |
doc_22108 |
Return a dictionary of all the properties of the artist. | |
doc_22109 | Represents the C 32-bit unsigned int datatype. Usually an alias for c_uint. | |
doc_22110 | See Migration guide for more details. tf.compat.v1.keras.backend.is_keras_tensor
tf.keras.backend.is_keras_tensor(
x
)
A "Keras tensor" is a tensor that was returned by a Keras layer, (Layer class) or by Input.
Arguments
x A candidate tensor.
Returns A boolean: Whether the argument is a Keras ... | |
doc_22111 | Computes the element-wise least common multiple (LCM) of input and other. Both input and other must have integer types. Note This defines lcm(0,0)=0lcm(0, 0) = 0 and lcm(0,a)=0lcm(0, a) = 0 . Parameters
input (Tensor) – the input tensor.
other (Tensor) – the second input tensor Keyword Arguments
out (Tensor,... | |
doc_22112 |
Mask an array where greater than a given value. This function is a shortcut to masked_where, with condition = (x > value). See also masked_where
Mask where a condition is met. Examples >>> import numpy.ma as ma
>>> a = np.arange(4)
>>> a
array([0, 1, 2, 3])
>>> ma.masked_greater(a, 2)
masked_array(data=[0, 1, 2... | |
doc_22113 | Returns the k largest elements of the given input tensor along a given dimension. If dim is not given, the last dimension of the input is chosen. If largest is False then the k smallest elements are returned. A namedtuple of (values, indices) is returned, where the indices are the indices of the elements in the origina... | |
doc_22114 |
True if this transform has a corresponding inverse transform. | |
doc_22115 |
Write out the PDF trailer. | |
doc_22116 | If the given section exists, set the given option to the specified value; otherwise raise NoSectionError. option and value must be strings; if not, TypeError is raised. | |
doc_22117 |
Fit model to data. Parameters
Xarray-like of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of predictors.
Yarray-like of shape (n_samples,) or (n_samples, n_targets)
Target vectors, where n_samples is the number of samples and n_targets... | |
doc_22118 | Capture enough detail about a non-file-based module to permit getting its lines later via getline() even if module_globals is None in the later call. This avoids doing I/O until a line is actually needed, without having to carry the module globals around indefinitely. New in version 3.5. | |
doc_22119 | See Migration guide for more details. tf.compat.v1.raw_ops.Substr
tf.raw_ops.Substr(
input, pos, len, unit='BYTE', name=None
)
For each string in the input Tensor, creates a substring starting at index pos with a total length of len. If len defines a substring that would extend beyond the length of the input str... | |
doc_22120 |
Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...)
Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. | |
doc_22121 | See Migration guide for more details. tf.compat.v1.raw_ops.HistogramSummary
tf.raw_ops.HistogramSummary(
tag, values, name=None
)
The generated Summary has one summary value containing a histogram for values. This op reports an InvalidArgument error if any value is not finite.
Args
tag A Tensor of type ... | |
doc_22122 |
The ordinal day of the year. | |
doc_22123 |
Get Multiplication of dataframe and other, element-wise (binary operator mul). Equivalent to dataframe * other, but with support to substitute a fill_value for missing data in one of the inputs. With reverse version, rmul. Among flexible wrappers (add, sub, mul, div, mod, pow) to arithmetic operators: +, -, *, /, //,... | |
doc_22124 |
Fill the array with a scalar value. Parameters
valuescalar
All elements of a will be assigned this value. Examples >>> a = np.array([1, 2])
>>> a.fill(0)
>>> a
array([0, 0])
>>> a = np.empty(2)
>>> a.fill(1)
>>> a
array([1., 1.]) | |
doc_22125 | Deactivates the currently active translation object so that further _ calls will resolve against the default translation object, again. | |
doc_22126 |
Find the point in the contour plot that is closest to (x, y). Parameters
x, yfloat
The reference point.
indiceslist of int or None, default: None
Indices of contour levels to consider. If None (the default), all levels are considered.
pixelbool, default: True
If True, measure distance in pixel (screen) ... | |
doc_22127 | Add the file with the pathname full to the CAB file, under the name logical. If there is already a file named logical, a new file name is created. Return the index of the file in the CAB file, and the new name of the file inside the CAB file. | |
doc_22128 |
Get or set the theta gridlines on the current polar plot. Call signatures: lines, labels = thetagrids()
lines, labels = thetagrids(angles, labels=None, fmt=None, **kwargs)
When called with no arguments, thetagrids simply returns the tuple (lines, labels). When called with arguments, the labels will appear at the spe... | |
doc_22129 | Query or modify the configuration options of the Tix application context. If no option is specified, returns a dictionary all of the available options. If option is specified with no value, then the method returns a list describing the one named option (this list will be identical to the corresponding sublist of the va... | |
doc_22130 |
Restrict the features to those in support using feature selection. This function modifies the estimator in-place. Parameters
supportarray-like
Boolean mask or list of indices (as returned by the get_support member of feature selectors).
indicesbool, default=False
Whether support is a list of indices. Ret... | |
doc_22131 |
Return the offset of the lines used to mark each event. | |
doc_22132 |
[Deprecated] Set minimumdescent. If True, extent of the single line text is adjusted so that its descent is at least the one of the glyph "p". Notes Deprecated since version 3.4. | |
doc_22133 | A page acts like a sequence of Page.object_list when using len() or iterating it directly. | |
doc_22134 |
Compute Adapted Rand error as defined by the SNEMI3D contest. [1] Parameters
image_truendarray of int
Ground-truth label image, same shape as im_test.
image_testndarray of int
Test image.
tablescipy.sparse array in crs format, optional
A contingency table built with skimage.evaluate.contingency_table. I... | |
doc_22135 | Resets all of the flags to 0. | |
doc_22136 | A callable (typically a form class) to use for authentication. Defaults to AuthenticationForm. | |
doc_22137 | See torch.float_power() | |
doc_22138 |
Render a DataFrame to a console-friendly tabular output. Parameters
buf:str, Path or StringIO-like, optional, default None
Buffer to write to. If None, the output is returned as a string.
columns:sequence, optional, default None
The subset of columns to write. Writes all columns by default.
col_space:int,... | |
doc_22139 | See Migration guide for more details. tf.compat.v1.estimator.WarmStartSettings
tf.estimator.WarmStartSettings(
ckpt_to_initialize_from, vars_to_warm_start='.*',
var_name_to_vocab_info=None, var_name_to_prev_var_name=None
)
Example Use with canned tf.estimator.DNNEstimator: emb_vocab_file = tf.feature_column.... | |
doc_22140 |
A Legendre series class. The Legendre class provides the standard Python numerical methods ‘+’, ‘-’, ‘*’, ‘//’, ‘%’, ‘divmod’, ‘**’, and ‘()’ as well as the attributes and methods listed in the ABCPolyBase documentation. Parameters
coefarray_like
Legendre coefficients in order of increasing degree, i.e., (1, 2,... | |
doc_22141 |
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_22142 | A dictionary mapping module names to modules. See Example usage of ModuleFinder. | |
doc_22143 |
Set the alpha value used for blending - not supported on all backends. Parameters
alphascalar or None
alpha must be within the 0-1 range, inclusive. | |
doc_22144 | Returns the centroid of the set bits centroid() -> (x, y) Finds the centroid (the center mass of the set bits) for this mask.
Returns:
a coordinate tuple indicating the centroid of the mask, it will return (0, 0) if the mask has no bits set
Return type:
tuple(int, int) | |
doc_22145 | operator.attrgetter(*attrs)
Return a callable object that fetches attr from its operand. If more than one attribute is requested, returns a tuple of attributes. The attribute names can also contain dots. For example: After f = attrgetter('name'), the call f(b) returns b.name. After f = attrgetter('name', 'date'), th... | |
doc_22146 |
Select values between particular times of the day (e.g., 9:00-9:30 AM). By setting start_time to be later than end_time, you can get the times that are not between the two times. Parameters
start_time:datetime.time or str
Initial time as a time filter limit.
end_time:datetime.time or str
End time as a time ... | |
doc_22147 | tf.image.decode_jpeg Compat aliases for migration See Migration guide for more details. tf.compat.v1.image.decode_jpeg, tf.compat.v1.io.decode_jpeg
tf.io.decode_jpeg(
contents, channels=0, ratio=1, fancy_upscaling=True,
try_recover_truncated=False, acceptable_fraction=1, dct_method='',
name=None
)
The at... | |
doc_22148 |
Convert an image array to a new color space. Valid color spaces are:
‘RGB’, ‘HSV’, ‘RGB CIE’, ‘XYZ’, ‘YUV’, ‘YIQ’, ‘YPbPr’, ‘YCbCr’, ‘YDbDr’ Parameters
arr(…, 3) array_like
The image to convert. Final dimension denotes channels.
fromspacestr
The color space to convert from. Can be specified in lower cas... | |
doc_22149 |
Use Matplotlib style settings from a style specification. The style name of 'default' is reserved for reverting back to the default style settings. Note This updates the rcParams with the settings from the style. rcParams not defined in the style are kept. Parameters
stylestr, dict, Path or list
A style speci... | |
doc_22150 | tf.compat.v1.ConditionalAccumulatorBase(
dtype, shape, accumulator_ref
)
Up-to-date gradients (i.e., time step at which gradient was computed is equal to the accumulator's time step) are added to the accumulator. Extraction of the average gradient is blocked until the required number of gradients has been accumula... | |
doc_22151 | See Migration guide for more details. tf.compat.v1.app.flags.WhitespaceSeparatedListParser
tf.compat.v1.flags.WhitespaceSeparatedListParser(
comma_compat=False
)
Args
comma_compat bool, whether to support comma as an additional separator. If False then only whitespace is supported. This is intended only... | |
doc_22152 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. | |
doc_22153 | stat.FILE_ATTRIBUTE_COMPRESSED
stat.FILE_ATTRIBUTE_DEVICE
stat.FILE_ATTRIBUTE_DIRECTORY
stat.FILE_ATTRIBUTE_ENCRYPTED
stat.FILE_ATTRIBUTE_HIDDEN
stat.FILE_ATTRIBUTE_INTEGRITY_STREAM
stat.FILE_ATTRIBUTE_NORMAL
stat.FILE_ATTRIBUTE_NOT_CONTENT_INDEXED
stat.FILE_ATTRIBUTE_NO_SCRUB_DATA
stat.FILE_ATTRIBUTE... | |
doc_22154 |
Returns the indices that would partition this array. Refer to numpy.argpartition for full documentation. New in version 1.8.0. See also numpy.argpartition
equivalent function | |
doc_22155 | A factory function for constructing a new empty message object. Used by the parser when building messages. Defaults to None, in which case Message is used. New in version 3.6. | |
doc_22156 | rotates a vector by a given angle in radians. rotate_rad(angle) -> Vector2 Returns a vector which has the same length as self but is rotated counterclockwise by the given angle in radians. New in pygame 2.0.0. | |
doc_22157 | Read one line, where “line” is a sequence of bytes ending with \n. If EOF is received and \n was not found, the method returns partially read data. If EOF is received and the internal buffer is empty, return an empty bytes object. | |
doc_22158 |
Names of levels in MultiIndex. Examples
>>> mi = pd.MultiIndex.from_arrays(
... [[1, 2], [3, 4], [5, 6]], names=['x', 'y', 'z'])
>>> mi
MultiIndex([(1, 3, 5),
(2, 4, 6)],
names=['x', 'y', 'z'])
>>> mi.names
FrozenList(['x', 'y', 'z']) | |
doc_22159 |
Loads the optimizer state. Parameters
state_dict (dict) – optimizer state. Should be an object returned from a call to state_dict(). | |
doc_22160 | See Migration guide for more details. tf.compat.v1.math.unsorted_segment_min, tf.compat.v1.unsorted_segment_min
tf.math.unsorted_segment_min(
data, segment_ids, num_segments, name=None
)
Read the section on segmentation for an explanation of segments. This operator is similar to the unsorted segment sum operator... | |
doc_22161 | Extend the left side of the deque by appending elements from iterable. Note, the series of left appends results in reversing the order of elements in the iterable argument. | |
doc_22162 |
Bases: object PDF reference object. Use PdfFile.reserveObject() to create References. pdfRepr()[source]
write(contents, file)[source] | |
doc_22163 | In-place version of addmm() | |
doc_22164 |
Add an Axes to the figure as part of a subplot arrangement. Call signatures: add_subplot(nrows, ncols, index, **kwargs)
add_subplot(pos, **kwargs)
add_subplot(ax)
add_subplot()
Parameters
*argsint, (int, int, index), or SubplotSpec, default: (1, 1, 1)
The position of the subplot described by one of Three inte... | |
doc_22165 | Don’t pop the request context when an exception occurs. If not set, this is true if DEBUG is true. This allows debuggers to introspect the request data on errors, and should normally not need to be set directly. Default: None | |
doc_22166 | hit the moving chimp chimp.main() -> None This simple example is derived from the line-by-line tutorial that comes with pygame. It is based on a 'popular' web banner. Note there are comments here, but for the full explanation, follow along in the tutorial. | |
doc_22167 | Computes the logarithm of the gamma function on input. outi=logΓ(inputi)\text{out}_{i} = \log \Gamma(\text{input}_{i})
Parameters
input (Tensor) – the input tensor.
out (Tensor, optional) – the output tensor. Example: >>> a = torch.arange(0.5, 2, 0.5)
>>> torch.lgamma(a)
tensor([ 0.5724, 0.0000, -0.1208]) | |
doc_22168 |
Copy properties from gc to self. | |
doc_22169 | New in Django 3.2. An optional boolean argument that determines if array values will be distinct. Defaults to False. | |
doc_22170 |
Least squares fit of Laguerre series to data. Return the coefficients of a Laguerre series of degree deg that is the least squares fit to the data values y given at points x. If y is 1-D the returned coefficients will also be 1-D. If y is 2-D multiple fits are done, one for each column of y, and the resulting coeffic... | |
doc_22171 | tkinter.messagebox.askokcancel(title=None, message=None, **options)
tkinter.messagebox.askretrycancel(title=None, message=None, **options)
tkinter.messagebox.askyesno(title=None, message=None, **options)
tkinter.messagebox.askyesnocancel(title=None, message=None, **options) | |
doc_22172 | select.epoll()-based selector.
fileno()
This returns the file descriptor used by the underlying select.epoll() object. | |
doc_22173 | See Migration guide for more details. tf.compat.v1.ragged.cross_hashed
tf.ragged.cross_hashed(
inputs, num_buckets=0, hash_key=None, name=None
)
The input tensors must have rank=2, and must all have the same number of rows. The result is a RaggedTensor with the same number of rows as the inputs, where result[row... | |
doc_22174 | sklearn.datasets.make_circles(n_samples=100, *, shuffle=True, noise=None, random_state=None, factor=0.8) [source]
Make a large circle containing a smaller circle in 2d. A simple toy dataset to visualize clustering and classification algorithms. Read more in the User Guide. Parameters
n_samplesint or tuple of shap... | |
doc_22175 | Return a new SSLContext object with default settings for the given purpose. The settings are chosen by the ssl module, and usually represent a higher security level than when calling the SSLContext constructor directly. cafile, capath, cadata represent optional CA certificates to trust for certificate verification, as ... | |
doc_22176 |
Saves given tensors for a future call to backward(). This should be called at most once, and only from inside the forward() method. Later, saved tensors can be accessed through the saved_tensors attribute. Before returning them to the user, a check is made to ensure they weren’t used in any in-place operation that mo... | |
doc_22177 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorArrayGatherV3
tf.raw_ops.TensorArrayGatherV3(
handle, indices, flow_in, dtype, element_shape=None, name=None
)
All elements selected by indices must have the same shape.
Args
handle A Tensor of type resource. The handle to a TensorArray. ... | |
doc_22178 |
Pad left and right side of strings in the Series/Index. Equivalent to str.center(). Parameters
width:int
Minimum width of resulting string; additional characters will be filled with fillchar.
fillchar:str
Additional character for filling, default is whitespace. Returns
filled:Series/Index of objects. | |
doc_22179 | Returns a new copy of the mask copy() -> Mask
Returns:
a new copy of this mask, the new mask will have the same width, height, and set/unset bits as the original
Return type:
Mask Note If a mask subclass needs to copy any instance specific attributes then it should override the __copy__() method. The overr... | |
doc_22180 | See torch.logit() | |
doc_22181 |
Compute decision function of X for each iteration. This method allows monitoring (i.e. determine error on testing set) after each stage. Parameters
Xarray-like of shape (n_samples, n_features)
The input samples. Yields
decisiongenerator of ndarray of shape (n_samples,) or (n_samples, n_trees_per_iteration... | |
doc_22182 |
Samples from the Gumbel-Softmax distribution (Link 1 Link 2) and optionally discretizes. Parameters
logits – […, num_features] unnormalized log probabilities
tau – non-negative scalar temperature
hard – if True, the returned samples will be discretized as one-hot vectors, but will be differentiated as if it is ... | |
doc_22183 | termios.tcgetattr(fd)
Return a list containing the tty attributes for file descriptor fd, as follows: [iflag, oflag, cflag, lflag, ispeed, ospeed, cc] where cc is a list of the tty special characters (each a string of length 1, except the items with indices VMIN and VTIME, which are integers when these fields are def... | |
doc_22184 | Add a radio button named name to the group, at the coordinates x, y, width, height, and with the label text. If value is None, it defaults to name. | |
doc_22185 | Returns True if x is a normal number; otherwise returns False. | |
doc_22186 | See Migration guide for more details. tf.compat.v1.keras.applications.inception_v3.preprocess_input
tf.keras.applications.inception_v3.preprocess_input(
x, data_format=None
)
Usage example with applications.MobileNet: i = tf.keras.layers.Input([None, None, 3], dtype = tf.uint8)
x = tf.cast(i, tf.float32)
x = tf.... | |
doc_22187 | tf.compat.v1.metrics.sparse_average_precision_at_k(
labels, predictions, k, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use average_precision_at_k instead | |
doc_22188 | Token value for "%=". | |
doc_22189 | “Byteswap” all items of the array. This is only supported for values which are 1, 2, 4, or 8 bytes in size; for other types of values, RuntimeError is raised. It is useful when reading data from a file written on a machine with a different byte order. | |
doc_22190 |
Convert a dtype into a ctypes type. Parameters
dtypedtype
The dtype to convert Returns
ctype
A ctype scalar, union, array, or struct Raises
NotImplementedError
If the conversion is not possible Notes This function does not losslessly round-trip in either direction. np.dtype(as_ctypes_type(dt)) w... | |
doc_22191 |
Remove the specified categories. removals must be included in the old categories. Values which were in the removed categories will be set to NaN Parameters
removals:category or list of categories
The categories which should be removed.
inplace:bool, default False
Whether or not to remove the categories inpl... | |
doc_22192 | tf.experimental.numpy.vstack(
tup
)
See the NumPy documentation for numpy.vstack. | |
doc_22193 | See Migration guide for more details. tf.compat.v1.raw_ops.StatefulUniformFullInt
tf.raw_ops.StatefulUniformFullInt(
resource, algorithm, shape, dtype=tf.dtypes.uint64, name=None
)
The generated values are uniform integers covering the whole range of dtype.
Args
resource A Tensor of type resource. The h... | |
doc_22194 | Creates a one-dimensional tensor of size steps whose values are evenly spaced from start to end, inclusive. That is, the value are: (start,start+end−startsteps−1,…,start+(steps−2)∗end−startsteps−1,end)(\text{start}, \text{start} + \frac{\text{end} - \text{start}}{\text{steps} - 1}, \ldots, \text{start} + (\text{steps}... | |
doc_22195 | tf.compat.v1.nn.nce_loss(
weights, biases, labels, inputs, num_sampled, num_classes, num_true=1,
sampled_values=None, remove_accidental_hits=False,
partition_strategy='mod', name='nce_loss'
)
A common use case is to use this method for training, and calculate the full sigmoid loss for evaluation or inferen... | |
doc_22196 | The http.cookiejar.CookieJar in which cookies are stored. | |
doc_22197 | This attribute is set to 'RANGE'. | |
doc_22198 | Read one value from the open file and return it. If no valid value is read (e.g. because the data has a different Python version’s incompatible marshal format), raise EOFError, ValueError or TypeError. The file must be a readable binary file. Note If an object containing an unsupported type was marshalled with dump(),... | |
doc_22199 |
Create a chararray. Note This class is provided for numarray backward-compatibility. New code (not concerned with numarray compatibility) should use arrays of type string_ or unicode_ and use the free functions in numpy.char for fast vectorized string operations instead. Versus a regular NumPy array of type str or ... |
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