Overview: FrameGO: Method

Detail: FrameGO: Method

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FrameGO.__array__(dtype)

Support the __array__ interface, returning an array of values.

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FrameGO.__array_ufunc__(ufunc, method, *args, **kwargs)

Support for NumPy elements or arrays on the left hand of binary operators.

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FrameGO.__bool__()

Raises ValueError to prohibit ambiguous use of truethy evaluation.

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FrameGO.__dataframe__(nan_as_null, allow_copy)

Return a data-frame interchange protocol compliant object. See https://data-apis

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FrameGO.__deepcopy__(memo)

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FrameGO.__len__()

Length of rows in values.

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FrameGO.__round__(decimals)

Return a Frame rounded to the given decimals. Negative decimals round to the lef…

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FrameGO.all(axis, skipna, out)

Logical and over values along the specified axis. Args: axis: Axis, defaulting t…

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FrameGO.any(axis, skipna, out)

Logical or over values along the specified axis. Args: axis: Axis, defaulting to…

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FrameGO.astype[key](dtypes, *, consolidate_blocks)

Selector of columns by label. Args: key: A loc selector, either a label, a list…

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FrameGO.astype(dtype, *, consolidate_blocks)

Apply a single dtype to all columns.

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FrameGO.clip(*, lower, upper, axis)

Apply a clip operation to this Frame. Note that clip operations can be applied t…

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FrameGO.consolidate[key]

Selector of columns by label for consolidation. Args: key: A loc selector, eithe…

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FrameGO.consolidate()

Apply consolidation to all columns.

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FrameGO.consolidate.status

Display consolidation status of this Frame.

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FrameGO.corr(*, axis)

Compute a correlation matrix. Args: axis: if 0, each row represents a variable,…

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FrameGO.count(*, skipna, skipfalsy, unique, axis)

Return the count of non-NA values along the provided axis, where 0 provides coun…

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FrameGO.cov(*, axis, ddof)

Compute a covariance matrix. Args: axis: if 0, each row represents a variable, w…

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FrameGO.cumprod(axis, skipna)

Return the cumulative product over the specified axis. Args: axis: Axis, default…

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FrameGO.cumsum(axis, skipna)

Return the cumulative sum over the specified axis. Args: axis: Axis, defaulting…

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FrameGO.drop_duplicated(*, axis, exclude_first, exclude_last)

Return a Frame with duplicated rows (axis 0) or columns (axis 1) removed. All va…

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FrameGO.dropfalsy(axis, condition)

Return a new Frame after removing rows (axis 0) or columns (axis 1) where any or…

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FrameGO.dropna(axis, condition)

Return a new Frame after removing rows (axis 0) or columns (axis 1) where any or…

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FrameGO.duplicated(*, axis, exclude_first, exclude_last)

Return an axis-sized Boolean Series that shows True for all rows (axis 0) or col…

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FrameGO.equals(other, *, compare_name, compare_dtype, compare_class, skipna)

Return a bool from comparison to any other object. Args: compare_name: Include e…

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FrameGO.extend(container, fill_value)

Extend this FrameGO (in-place) with another Frame’s blocks or Series array; as b…

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FrameGO.extend_items(pairs, fill_value)

Given an iterable of pairs of column name, column value, extend this FrameGO. Co…

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FrameGO.fillfalsy(value)

Return a new Frame after replacing falsy values with the supplied value. Args: v…

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FrameGO.fillfalsy_backward(limit, *, axis)

Return a new Frame after filling backward falsy values with the first observed v…

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FrameGO.fillfalsy_forward(limit, *, axis)

Return a new Frame after filling forward falsy values with the last observed val…

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FrameGO.fillfalsy_leading(value, *, axis)

Return a new Frame after filling leading (and only leading) falsy values with th…

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FrameGO.fillfalsy_trailing(value, *, axis)

Return a new Frame after filling trailing (and only trailing) falsy values with…

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FrameGO.fillna(value)

Return a new Frame after replacing null (NaN or None) values with the supplied v…

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FrameGO.fillna_backward(limit, *, axis)

Return a new Frame after filling backward null (NaN or None) with the first obse…

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FrameGO.fillna_forward(limit, *, axis)

Return a new Frame after filling forward null (NaN or None) with the last observ…

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FrameGO.fillna_leading(value, *, axis)

Return a new Frame after filling leading (and only leading) null (NaN or None) w…

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FrameGO.fillna_trailing(value, *, axis)

Return a new Frame after filling trailing (and only trailing) null (NaN or None)…

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FrameGO.head(count)

Return a Frame consisting only of the top elements as specified by count. Args:…

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FrameGO.iloc_max(*, skipna, axis)

Return the integer indices corresponding to the maximum values found. Args: skip…

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FrameGO.iloc_min(*, skipna, axis)

Return the integer indices corresponding to the minimum values found. Args: skip…

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FrameGO.iloc_notfalsy_first(*, fill_value, axis)

Return the position corresponding to the first non-falsy (including nan) values…

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FrameGO.iloc_notfalsy_last(*, fill_value, axis)

Return the position corresponding to the last non-falsy (including nan) values a…

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FrameGO.iloc_notna_first(*, fill_value, axis)

Return the position corresponding to the first non-missing values along the sele…

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FrameGO.iloc_notna_last(*, fill_value, axis)

Return the position corresponding to the last non-missing values along the selec…

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FrameGO.insert_after(key, container, *, fill_value)

Create a new Frame by inserting a named Series or Frame at the position after th…

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FrameGO.insert_before(key, container, *, fill_value)

Create a new Frame by inserting a named Series or Frame at the position before t…

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FrameGO.isfalsy()

Return a same-indexed, Boolean Frame indicating True which values are falsy.

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FrameGO.isin(other)

Return a same-sized Boolean Frame that shows if the same-positioned element is i…

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FrameGO.isna()

Return a same-indexed, Boolean Frame indicating True which values are NaN or Non…

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FrameGO.join_inner(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, include_index)

Perform an inner join. Args: left_depth_level: Specify one or more left index de…

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FrameGO.join_left(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, include_index)

Perform a left outer join. Args: left_depth_level: Specify one or more left inde…

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FrameGO.join_outer(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, include_index)

Perform an outer join. Args: left_depth_level: Specify one or more left index de…

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FrameGO.join_right(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, include_index)

Perform a right outer join. Args: left_depth_level: Specify one or more left ind…

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FrameGO.loc_max(*, skipna, axis)

Return the labels corresponding to the maximum values found. Args: skipna: if Tr…

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FrameGO.loc_min(*, skipna, axis)

Return the labels corresponding to the minimum value found. Args: skipna: if Tru…

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FrameGO.loc_notfalsy_first(*, fill_value, axis)

Return the labels corresponding to the first non-falsy (including nan) values al…

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FrameGO.loc_notfalsy_last(*, fill_value, axis)

Return the labels corresponding to the last non-falsy (including nan) values alo…

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FrameGO.loc_notna_first(*, fill_value, axis)

Return the labels corresponding to the first non-missing values along the select…

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FrameGO.loc_notna_last(*, fill_value, axis)

Return the labels corresponding to the last non-missing values along the selecte…

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FrameGO.max(axis, skipna)

Return the maximum along the specified axis. Args: axis: Axis, defaulting to axi…

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FrameGO.mean(axis, skipna, out)

Return the mean along the specified axis. Args: axis: Axis, defaulting to axis 0…

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FrameGO.median(axis, skipna, out)

Return the median along the specified axis. Args: axis: Axis, defaulting to axis…

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FrameGO.min(axis, skipna, out)

Return the minimum along the specified axis. Args: axis: Axis, defaulting to axi…

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FrameGO.notfalsy()

Return a same-indexed, Boolean Frame indicating True which values are not falsy.

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FrameGO.notna()

Return a same-indexed, Boolean Frame indicating True which values are not NaN or…

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FrameGO.pivot(index_fields, columns_fields, data_fields, *, func, fill_value, index_constructor)

Produce a pivot table, where one or more columns is selected for each of index_f…

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FrameGO.pivot_stack(depth_level, *, fill_value)

Move labels from the columns to the index, creating or extending an IndexHierarc…

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FrameGO.pivot_unstack(depth_level, *, fill_value)

Move labels from the index to the columns, creating or extending an IndexHierarc…

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FrameGO.prod(axis, skipna, out)

Return the product along the specified axis. Args: axis: Axis, defaulting to axi…

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FrameGO.rank_dense(*, axis, skipna, ascending, start, fill_value)

Rank values as compactly as possible, where ties get the same value, and ranks a…

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FrameGO.rank_max(*, axis, skipna, ascending, start, fill_value)

Rank values where tied values are assigned the maximum ordinal rank; ranks are p…

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FrameGO.rank_mean(*, axis, skipna, ascending, start, fill_value)

Rank values where tied values are assigned the mean of the ordinal ranks; ranks…

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FrameGO.rank_min(*, axis, skipna, ascending, start, fill_value)

Rank values where tied values are assigned the minimum ordinal rank; ranks are p…

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FrameGO.rank_ordinal(*, axis, skipna, ascending, start, fill_value)

Rank values distinctly, where ties get distinct values that maintain their order…

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FrameGO.rehierarch(index, columns, *, index_constructors, columns_constructors)

Produce a new Frame with index and/or columns constructed with a transformed hie…

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FrameGO.reindex(index, columns, *, fill_value, own_index, own_columns, check_equals)

Return a new Frame with labels defined by the provided index. The size and order…

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FrameGO.relabel(index, columns, *, index_constructor, columns_constructor)

Return a new Frame with transformed labels on the index. The size and ordering o…

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FrameGO.relabel_flat(index, columns)

Return a new Frame, where an IndexHierarchy (if defined) is replaced with a flat…

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FrameGO.relabel_level_add(index, columns, *, index_constructor, columns_constructor)

Return a new Frame, adding a new root level to an existing IndexHierarchy, or cr…

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FrameGO.relabel_level_drop(index, columns)

Return a new Frame, dropping one or more levels from a either the root or the le…

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FrameGO.relabel_shift_in(key, *, axis, index_constructors)

Create, or augment, an IndexHierarchy by providing one or more selections from t…

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FrameGO.relabel_shift_out(depth_level, *, axis)

Shift values from an index on an axis to the Frame by providing one or more dept…

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FrameGO.rename(name, *, index, columns)

Return a new Frame with an updated name attribute. Optionally update the name at…

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FrameGO.roll(index, columns, *, include_index, include_columns)

Roll columns and/or rows by positive or negative integer counts, where columns a…

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FrameGO.sample(index, columns, *, seed)

Randomly (optionally made deterministic with a fixed seed) extract items from th…

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FrameGO.set_columns(index, *, drop, columns_constructor)

Return a new Frame produced by setting the given row as the columns, optionally…

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FrameGO.set_columns_hierarchy(index, *, drop, columns_constructors, reorder_for_hierarchy)

Given an iterable of index labels, return a new Frame with those rows as an Inde…

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FrameGO.set_index(column, *, drop, index_constructor)

Return a new Frame produced by setting the given column as the index, optionally…

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FrameGO.set_index_hierarchy(columns, *, drop, index_constructors, reorder_for_hierarchy)

Given an iterable of column labels, return a new Frame with those columns as an…

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FrameGO.shift(index, columns, *, fill_value)

Shift columns and/or rows by positive or negative integer counts, where columns…

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FrameGO.sort_columns(*, ascending, kind, key)

Return a new Frame ordered by the sorted columns. Args: ascendings: Boolean, or…

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FrameGO.sort_index(*, ascending, kind, key)

Return a new Frame ordered by the sorted Index. Args: ascendings: Boolean, or it…

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FrameGO.sort_values(label, *, ascending, axis, kind, key)

Return a new Frame ordered by the sorted values, where values are given by singl…

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FrameGO.std(axis, skipna, ddof, out)

Return the standard deviaton along the specified axis. Args: axis: Axis, default…

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FrameGO.sum(axis, skipna, out)

Sum values along the specified axis. Args: axis: Axis, defaulting to axis 0. ski…

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FrameGO.tail(count)

Return a Frame consisting only of the bottom elements as specified by count. Arg…

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FrameGO.transpose()

Transpose. Return a Frame with index as columns and vice versa.

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FrameGO.unique(*, axis)

Return a NumPy array of unqiue values. If the axis argument is provied, uniquene…

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FrameGO.unset_columns(*, names, index_constructors)

Return a new Frame where columns are added to the top of the data, and an IndexA…

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FrameGO.unset_index(*, names, consolidate_blocks, columns_constructors)

Return a new Frame where the index is added to the front of the data, and an Ind…

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FrameGO.var(axis, skipna, ddof, out)

Return the variance along the specified axis. Args: axis: Axis, defaulting to ax…

FrameGO: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Transpose | Accessor Fill Value | Accessor Regular Expression | Accessor Hashlib