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Functions27,130 in github.com/awslabs/predictive-maintenance-using-machine-learning

↓ 152 callersFunctiontimedelta_range
Return a fixed frequency TimedeltaIndex, with day as the default frequency Parameters ---------- start : string or timedelta-lik
source/predictive_maintenance/pandas/core/indexes/timedeltas.py:731
↓ 151 callersFunctionassert_almost_equal
Check that the left and right objects are approximately equal. By approximately equal, we refer to objects that are numbers or that cont
source/predictive_maintenance/pandas/util/testing.py:259
↓ 151 callersMethodmin
(self, *args, **kwargs)
source/predictive_maintenance/pandas/core/window.py:1720
↓ 150 callersMethodastype
Cast a pandas object to a specified dtype ``dtype``. Parameters ---------- dtype : data type, or dict of column name
source/predictive_maintenance/pandas/core/generic.py:5581
↓ 150 callersMethodget_indexer
(self, target, method=None, limit=None, tolerance=None)
source/predictive_maintenance/pandas/core/indexes/base.py:2716
↓ 149 callersMethodarray
Raises a ValueError for `MultiIndex` because there's no single array backing a MultiIndex. Raises ------ Val
source/predictive_maintenance/pandas/core/indexes/multi.py:525
↓ 149 callersFunctionensure_clean_store
(path, mode='a', complevel=None, complib=None, fletcher32=False)
source/predictive_maintenance/pandas/tests/io/test_pytables.py:79
↓ 149 callersFunctionmax
(obj, axis=None, out=None, fill_value=None, keepdims=np._NoValue)
source/predictive_maintenance/numpy/ma/core.py:6526
↓ 148 callersFunctionarray
Construct a record array from a wide-variety of objects.
source/predictive_maintenance/numpy/core/records.py:813
↓ 148 callersMethoddot
a.dot(b, out=None) Masked dot product of two arrays. Note that `out` and `strict` are located in different positions than in
source/predictive_maintenance/numpy/ma/core.py:4926
↓ 148 callersMethodtz_convert
Convert tz-aware axis to target time zone. Parameters ---------- tz : string or pytz.timezone object axis :
source/predictive_maintenance/pandas/core/generic.py:9197
↓ 148 callersMethodunion
Form the union of two Index objects. Parameters ---------- other : Index or array-like sort : bool or None,
source/predictive_maintenance/pandas/core/indexes/base.py:2254
↓ 147 callersMethodreindex
(self, *args, **kwargs)
source/predictive_maintenance/pandas/core/frame.py:3802
↓ 146 callersMethodclose
Close the file.
source/predictive_maintenance/numpy/lib/npyio.py:216
↓ 143 callersMethodstack
Stack the prescribed level(s) from columns to index. Return a reshaped DataFrame or Series having a multi-level index with o
source/predictive_maintenance/pandas/core/frame.py:5761
↓ 142 callersMethoddtype
(self)
source/predictive_maintenance/numpy/lib/tests/test_type_check.py:221
↓ 141 callersMethodto_json
Convert the object to a JSON string. Note NaN's and None will be converted to null and datetime objects will be converted to
source/predictive_maintenance/pandas/core/generic.py:2129
↓ 139 callersMethodisna
(self)
source/predictive_maintenance/pandas/tests/extension/json/array.py:122
↓ 139 callersFunctionrandn
Return a random matrix with data from the "standard normal" distribution. `randn` generates a matrix filled with random floats sampled from
source/predictive_maintenance/numpy/matlib.py:265
↓ 138 callersMethodsum
(self, axis=None, dtype=None, out=None)
source/predictive_maintenance/numpy/core/tests/test_numeric.py:2745
↓ 135 callersMethodvalue_counts
Return a Series containing counts of unique values. The resulting object will be in descending order so that the first eleme
source/predictive_maintenance/pandas/core/base.py:1222
↓ 134 callersMethoddtype
(self)
source/predictive_maintenance/pandas/tests/extension/test_common.py:25
↓ 134 callersMethodstrip
For each element in `self`, return a copy with the leading and trailing characters removed. See also --------
source/predictive_maintenance/numpy/core/defchararray.py:2534
↓ 131 callersFunctionall
Test whether all array elements along a given axis evaluate to True. Parameters ---------- a : array_like Input array or obj
source/predictive_maintenance/numpy/core/fromnumeric.py:2172
↓ 128 callersMethodtransform
(row)
source/predictive_maintenance/pandas/tests/frame/test_apply.py:359
↓ 128 callersMethodunstack
Unstack, a.k.a. pivot, Series with MultiIndex to produce DataFrame. The level involved will automatically get sorted. Parame
source/predictive_maintenance/pandas/core/series.py:3261
↓ 127 callersFunctioncheck
(length, obj)
source/predictive_maintenance/pandas/tests/io/msgpack/test_case.py:6
↓ 127 callersMethodisin
Check whether `values` are contained in Series. Return a boolean Series showing whether each element in the Series matches a
source/predictive_maintenance/pandas/core/series.py:3947
↓ 127 callersMethodlower
Return an array with the elements of `self` converted to lowercase. See also -------- char.lower
source/predictive_maintenance/numpy/core/defchararray.py:2381
↓ 126 callersMethodcount
Return number of observations over requested axis. Parameters ---------- axis : {'items', 'major', 'minor'} or {0, 1
source/predictive_maintenance/pandas/core/panel.py:1297
↓ 125 callersFunctionany
Test whether any array element along a given axis evaluates to True. Returns single boolean unless `axis` is not ``None`` Parameters
source/predictive_maintenance/numpy/core/fromnumeric.py:2084
↓ 125 callersFunctionfunc
(self, other)
source/predictive_maintenance/numpy/lib/mixins.py:22
↓ 125 callersMethodget
Retrieve pandas object stored in file Parameters ---------- key : object Returns ------- ob
source/predictive_maintenance/pandas/io/pytables.py:680
↓ 125 callersMethodsplit
For each element in `self`, return a list of the words in the string, using `sep` as the delimiter string. See also
source/predictive_maintenance/numpy/core/defchararray.py:2498
↓ 124 callersMethodquery
Query the columns of a DataFrame with a boolean expression. Parameters ---------- expr : string The quer
source/predictive_maintenance/pandas/core/frame.py:3012
↓ 124 callersMethodsort
Sort the array, in-place Parameters ---------- a : array_like Array to be sorted. axis : int, op
source/predictive_maintenance/numpy/ma/core.py:5488
↓ 123 callersMethodtranspose
(self, *args, **kwargs)
source/predictive_maintenance/pandas/core/panel.py:1272
↓ 122 callersMethodget
(self, key, default=None)
source/predictive_maintenance/numpy/core/_type_aliases.py:42
↓ 121 callersFunctionassert_allclose
Raises an AssertionError if two objects are not equal up to desired tolerance. The test is equivalent to ``allclose(actual, desired, rto
source/predictive_maintenance/numpy/testing/_private/utils.py:1446
↓ 121 callersMethodfilled
Return a copy with masked fields filled with a given value. Parameters ---------- fill_value : scalar, optional
source/predictive_maintenance/numpy/ma/core.py:6148
↓ 120 callersFunction_maybe_remove
For tests using tables, try removing the table to be sure there is no content from previous tests using the same table name.
source/predictive_maintenance/pandas/tests/io/test_pytables.py:122
↓ 120 callersMethodany
Returns True if any of the elements of `a` evaluate to True. Masked values are considered as False during computation. Refe
source/predictive_maintenance/numpy/ma/core.py:4780
↓ 120 callersMethodstrip
(self, to_strip=None)
source/predictive_maintenance/pandas/core/strings.py:2725
↓ 119 callersMethodkeys
Return the keys of currently supported file openers. Parameters ---------- None Returns -------
source/predictive_maintenance/numpy/lib/_datasource.py:203
↓ 118 callersMethodrank
Compute numerical data ranks (1 through n) along axis. Equal values are assigned a rank that is the average of the ranks of those val
source/predictive_maintenance/pandas/core/generic.py:8282
↓ 117 callersMethoddropna
Drop 2D from panel, holding passed axis constant. Parameters ---------- axis : int, default 0 Axis to ho
source/predictive_maintenance/pandas/core/panel.py:701
↓ 117 callersMethodreplace
For each element in `self`, return a copy of the string with all occurrences of substring `old` replaced by `new`. See also
source/predictive_maintenance/numpy/core/defchararray.py:2415
↓ 116 callersMethodinsert
(self, chunksize=None, method=None)
source/predictive_maintenance/pandas/io/sql.py:652
↓ 115 callersFunctionnotna
Detect non-missing values for an array-like object. This function takes a scalar or array-like object and indicates whether values are v
source/predictive_maintenance/pandas/core/dtypes/missing.py:259
↓ 115 callersMethodslice_locs
Compute slice locations for input labels. Parameters ---------- start : label, default None If None, def
source/predictive_maintenance/pandas/core/indexes/base.py:4832
↓ 115 callersMethodsum
Return the sum of the array elements over the given axis. Masked elements are set to 0 internally. Refer to `numpy.sum` for
source/predictive_maintenance/numpy/ma/core.py:4965
↓ 114 callersMethodinterpolate
Interpolate values according to different methods.
source/predictive_maintenance/pandas/core/generic.py:6780
↓ 113 callersMethodcopy
Make a copy of this object's indices and data. When ``deep=True`` (default), a new object will be created with a copy of the
source/predictive_maintenance/pandas/core/generic.py:5699
↓ 113 callersMethoddrop
Return Series with specified index labels removed. Remove elements of a Series based on specifying the index labels. When us
source/predictive_maintenance/pandas/core/series.py:3740
↓ 112 callersMethodto_timestamp
Cast to datetimeindex of timestamps, at *beginning* of period. Parameters ---------- freq : string, default frequenc
source/predictive_maintenance/pandas/core/series.py:4327
↓ 111 callersFunctionis_categorical_dtype
Check whether an array-like or dtype is of the Categorical dtype. Parameters ---------- arr_or_dtype : array-like The array-
source/predictive_maintenance/pandas/core/dtypes/common.py:572
↓ 111 callersMethodmap
Map values of Series according to input correspondence. Used for substituting each value in a Series with another value, tha
source/predictive_maintenance/pandas/core/series.py:3306
↓ 110 callersMethodfilter
Subset rows or columns of dataframe according to labels in the specified index. Note that this routine does not filter a dat
source/predictive_maintenance/pandas/core/generic.py:4497
↓ 107 callersMethod_get_axis_number
(cls, axis)
source/predictive_maintenance/pandas/core/generic.py:350
↓ 106 callersFunctionread_excel
(io, sheet_name=0, header=0, names=None, index_col
source/predictive_maintenance/pandas/io/excel.py:311
↓ 106 callersMethodto_frame
Transform wide format into long (stacked) format as DataFrame whose columns are the Panel's items and whose index is a MultiIndex for
source/predictive_maintenance/pandas/core/panel.py:924
↓ 105 callersMethodto_excel
Write each DataFrame in Panel to a separate excel sheet. Parameters ---------- path : string or ExcelWriter object
source/predictive_maintenance/pandas/core/panel.py:416
↓ 103 callersMethod_check_visible
Check each artist is visible or not Parameters ---------- collections : matplotlib Artist or its list-like
source/predictive_maintenance/pandas/tests/plotting/common.py:142
↓ 103 callersMethodastype
(self, dtype, copy=True)
source/predictive_maintenance/pandas/core/indexes/base.py:733
↓ 103 callersMethodget
(self, name, default=None)
source/predictive_maintenance/numpy/distutils/fcompiler/environment.py:42
↓ 103 callersFunctionmerge
(left, right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False
source/predictive_maintenance/pandas/core/reshape/merge.py:39
↓ 103 callersFunctionpprint_thing
This function is the sanctioned way of converting objects to a unicode representation. properly handles nested sequences containing unic
source/predictive_maintenance/pandas/io/formats/printing.py:156
↓ 103 callersMethodto_sql
(self, *args, **kwargs)
source/predictive_maintenance/pandas/io/sql.py:947
↓ 101 callersMethod_get_axis
(self, axis)
source/predictive_maintenance/pandas/core/generic.py:377
↓ 101 callersFunctionis_datetime64tz_dtype
Check whether an array-like or dtype is of a DatetimeTZDtype dtype. Parameters ---------- arr_or_dtype : array-like The arra
source/predictive_maintenance/pandas/core/dtypes/common.py:434
↓ 101 callersMethodunique
(self)
source/predictive_maintenance/pandas/tests/extension/json/array.py:168
↓ 100 callersMethod__finalize__
Propagate metadata from other to self. Parameters ---------- other : the object from which to get the attributes tha
source/predictive_maintenance/pandas/core/generic.py:5036
↓ 99 callersMethodstd
Exponential weighted moving stddev.
source/predictive_maintenance/pandas/core/window.py:2330
↓ 98 callersMethoddrop_duplicates
Return Series with duplicate values removed. Parameters ---------- keep : {'first', 'last', ``False``}, default 'fir
source/predictive_maintenance/pandas/core/series.py:1670
↓ 97 callersFunctioncheck
(A, U, exists=None)
source/predictive_maintenance/numpy/core/tests/test_mem_overlap.py:423
↓ 97 callersMethodreindex
(self, index=None, **kwargs)
source/predictive_maintenance/pandas/core/series.py:3737
↓ 95 callersFunctionassert_raises_regex
assert_raises_regex(exception_class, expected_regexp, callable, *args, **kwargs) assert_raises_regex(exception_class,
source/predictive_maintenance/numpy/testing/_private/utils.py:1296
↓ 94 callersMethodabs
Return a Series/DataFrame with absolute numeric value of each element. This function only applies to elements that are all numeric.
source/predictive_maintenance/pandas/core/generic.py:9415
↓ 94 callersFunctionf
()
source/predictive_maintenance/pandas/tests/generic/test_panel.py:51
↓ 94 callersMethodsearchsorted
(self, value, side='left', sorter=None)
source/predictive_maintenance/pandas/core/series.py:2333
↓ 93 callersMethodget_level_values
Return vector of label values for requested level, equal to the length of the index. Parameters ---------- l
source/predictive_maintenance/pandas/core/indexes/multi.py:1380
↓ 92 callersFunctionis_object_dtype
Check whether an array-like or dtype is of the object dtype. Parameters ---------- arr_or_dtype : array-like The array-like
source/predictive_maintenance/pandas/core/dtypes/common.py:131
↓ 92 callersFunctionmin
(obj, axis=None, out=None, fill_value=None, keepdims=np._NoValue)
source/predictive_maintenance/numpy/ma/core.py:6514
↓ 91 callersMethodread
(self, nrows=None, convert_dates=None, convert_categoricals=None, index_col=None, co
source/predictive_maintenance/pandas/io/stata.py:1463
↓ 91 callersMethodrename
(self, items=None, major_axis=None, minor_axis=None, **kwargs)
source/predictive_maintenance/pandas/core/panel.py:1254
↓ 90 callersFunctionaverage
Return the weighted average of array over the given axis. Parameters ---------- a : array_like Data to be averaged.
source/predictive_maintenance/numpy/ma/extras.py:520
↓ 90 callersMethodreplace
(self, to_replace=None, value=None, inplace=False, limit=None, regex=False, method='pad')
source/predictive_maintenance/pandas/core/frame.py:4037
↓ 89 callersMethod_check_axes_shape
Check expected number of axes is drawn in expected layout Parameters ---------- axes : matplotlib Axes object, or it
source/predictive_maintenance/pandas/tests/plotting/common.py:317
↓ 89 callersMethodall
Returns True if all values in the group are truthful, else False. Parameters ---------- skipna : bool, default True
source/predictive_maintenance/pandas/core/groupby/groupby.py:1061
↓ 89 callersFunctionfunc
(dataf)
source/predictive_maintenance/pandas/tests/groupby/test_groupby.py:113
↓ 88 callersFunctiongetmask
Return the mask of a masked array, or nomask. Return the mask of `a` as an ndarray if `a` is a `MaskedArray` and the mask is not `nomask
source/predictive_maintenance/numpy/ma/core.py:1361
↓ 88 callersFunctionl_not
(f)
source/predictive_maintenance/numpy/f2py/auxfuncs.py:581
↓ 87 callersFunctionassert_almost_equal
Asserts that two items are almost equal. The test is equivalent to abs(desired-actual) < 0.5 * 10**(-decimal).
source/predictive_maintenance/numpy/ma/testutils.py:178
↓ 87 callersFunctionassert_warns
Fail unless the given callable throws the specified warning. A warning of class warning_class should be thrown by the callable when invo
source/predictive_maintenance/numpy/testing/_private/utils.py:1706
↓ 86 callersFunctionensure_clean
Gets a temporary path and agrees to remove on close. Parameters ---------- filename : str (optional) if None, creates a temporary
source/predictive_maintenance/pandas/util/testing.py:674
↓ 86 callersMethodinfo
(self, message)
source/predictive_maintenance/numpy/distutils/misc_util.py:858
↓ 86 callersFunctionl_and
(*f)
source/predictive_maintenance/numpy/f2py/auxfuncs.py:565
↓ 86 callersMethodround
Round each value in Panel to a specified number of decimal places. .. versionadded:: 0.18.0 Parameters ----------
source/predictive_maintenance/pandas/core/panel.py:664
↓ 85 callersMethodany
(self, axis=0, out=None)
source/predictive_maintenance/pandas/tests/extension/arrow/bool.py:140
↓ 85 callersFunctionis_integer_dtype
Check whether the provided array or dtype is of an integer dtype. Unlike in `in_any_int_dtype`, timedelta64 instances will return False.
source/predictive_maintenance/pandas/core/dtypes/common.py:868
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