Top-Level Functions =================== .. cpp:namespace:: pandas These functions are available directly in the ``pandas`` namespace. .. code-block:: cpp #include using namespace pandas; auto df = read_csv("data.csv"); auto merged = merge(df1, df2, "key"); auto concatenated = concat({df1, df2}); I/O --- .. list-table:: :widths: 45 25 15 15 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``void to_clipboard( bool excel = true, char sep = '\\t', bool index = true, bool header = true, const std::string& na_rep = "") const`` - void - pd_dataframe.h:33155 - :ref:`View ` * - ``DatetimeArray to_datetime( const std::vector& values, const std::string& format = "", bool dayfirst = false, bool yearfirst = false, bool utc = false, const std::string& errors = "raise", bool exact = true, bool infer_datetime_format = false, const std::string& origin = "unix", const std::string& unit = "ns", bool cache = true)`` - DatetimeArray - pd_dataframe.h:44668 - :ref:`View ` * - ``inline DatetimeArray to_datetime( const std::vector& values, const std::string& format, bool dayfirst, bool yearfirst, bool utc, const std::string& errors, bool exact, bool infer_datetime_format, const std::string& origin, const std::string& unit, bool cache)`` - DatetimeArray - pd_top_level.h:2292 - :ref:`View ` * - ``inline DatetimeArray to_datetime_from_columns( const std::vector& year, const std::vector& month, const std::vector& day, const std::vector& hour = {}, const std::vector& minute = {}, const std::vector& second = {})`` - DatetimeArray - pd_top_level.h:2585 - :ref:`View ` * - ``inline DatetimeArray to_datetime_mixed( const std::vector& values, bool utc = false)`` - DatetimeArray - pd_top_level.h:2517 - :ref:`View ` * - ``inline DatetimeArray to_datetime_numeric( const std::vector& values, const std::string& unit = "ns", int64_t origin_ns = 0)`` - DatetimeArray - pd_top_level.h:2450 - :ref:`View ` * - ``inline DatetimeArray to_datetime_numeric( const std::vector& values, const std::string& unit = "ns", int64_t origin_ns = 0)`` - DatetimeArray - pd_top_level.h:2480 - :ref:`View ` * - ``inline pandas::Timestamp to_datetime_scalar(double value, const std::string& unit = "ns", int64_t origin_ns = 0)`` - pandas::Timestamp - pd_top_level.h:2503 - :ref:`View ` * - ``inline pandas::Timestamp to_datetime_scalar(int64_t value, const std::string& unit = "ns", int64_t origin_ns = 0)`` - pandas::Timestamp - pd_top_level.h:2509 - :ref:`View ` * - ``std::map> to_dict( const std::string& orient = "list", bool index = true, [[maybe_unused]] const std::string& into = "dict") const`` - std::map> - pd_dataframe.h:28173 - :ref:`View ` * - ``std::map> to_dict_orient_dict( bool index = true) const`` - std::map> - pd_dataframe.h:28223 - :ref:`View ` * - ``std::map> to_dict_orient_index() const`` - std::map> - pd_dataframe.h:28309 - :ref:`View ` * - ``std::vector> to_dict_orient_records( bool index = false) const`` - std::vector> - pd_dataframe.h:28262 - :ref:`View ` * - ``std::map> to_dict_orient_series() const`` - std::map> - pd_dataframe.h:28463 - :ref:`View ` * - ``DictSplitResult to_dict_orient_split(bool index = true) const`` - DictSplitResult - pd_dataframe.h:28349 - :ref:`View ` * - ``DictTightResult to_dict_orient_tight(bool index = true) const`` - DictTightResult - pd_dataframe.h:28408 - :ref:`View ` * - ``void to_excel( const std::string& excel_writer, const std::string& sheet_name = "Sheet1", const std::string& na_rep = "", const std::string& float_format = "", const std::vector& columns = {}, bool header = true, bool index = true, const std::string& index_label = "", size_t startrow = 0, size_t startcol = 0, [[maybe_unused]] bool merge_cells = true, const std::string& inf_rep = "inf", std::optional> freeze_panes = std::nullopt, [[maybe_unused]] const std::string& engine = "openpyxl", [[maybe_unused]] const std::map& engine_kwargs = {}, [[maybe_unused]] const std::string& storage_options = "") const`` - void - pd_dataframe.h:30540 - :ref:`View ` * - ``void to_excel( ExcelWriter& writer, const std::string& sheet_name = "Sheet1", const std::string& na_rep = "", const std::string& float_format = "", const std::vector& columns = {}, bool header = true, bool index = true, const std::string& index_label = "", size_t startrow = 0, size_t startcol = 0) const`` - void - pd_dataframe.h:31058 - :ref:`View ` * - ``std::vector to_feather( const std::string& path = "", const std::string& compression = "uncompressed", [[maybe_unused]] int compression_level = -1, [[maybe_unused]] int64_t chunksize = -1, int version = 2) const`` - std::vector - pd_dataframe.h:39326 - :ref:`View ` * - ``void to_hdf( const std::string& path_or_buf, const std::string& key = "df", const std::string& mode = "a", [[maybe_unused]] std::optional complevel = std::nullopt, [[maybe_unused]] const std::string& complib = "zlib", [[maybe_unused]] bool append = false, const std::string& format = "fixed", bool index = true, [[maybe_unused]] const std::map& min_itemsize = {}, [[maybe_unused]] const std::string& nan_rep = "", [[maybe_unused]] bool dropna = false, [[maybe_unused]] const std::vector& data_columns = {}, [[maybe_unused]] const std::string& errors = "strict", [[maybe_unused]] const std::string& encoding = "UTF-8") const`` - void - pd_dataframe.h:29916 - :ref:`View ` * - ``std::string to_html( std::ostream\* buf = nullptr, const std::vector& columns = {}, const std::vector& col_space = {}, bool header = true, bool index = true, const std::string& na_rep = "NaN", const std::string& float_format = "", [[maybe_unused]] bool sparsify = true, bool index_names = true, const std::string& justify = "", size_t max_rows = 0, size_t max_cols = 0, bool show_dimensions = false, char decimal = '.', bool bold_rows = true, const std::string& classes = "", bool escape = true, bool notebook = false, int border = -1, const std::string& table_id = "", bool render_links = false, [[maybe_unused]] const std::string& encoding = "utf-8", [[maybe_unused]] const std::vector& formatters = {}) const`` - std::string - pd_dataframe.h:31162 - :ref:`View ` * - ``std::string to_latex( std::ostream\* buf = nullptr, const std::vector& columns = {}, bool header = true, bool index = true, const std::string& na_rep = "NaN", const std::string& float_format = "", [[maybe_unused]] bool sparsify = true, bool index_names = true, bool bold_rows = false, const std::string& column_format = "", bool longtable = false, bool escape = true, char decimal = '.', [[maybe_unused]] bool multicolumn = true, [[maybe_unused]] const std::string& multicolumn_format = "r", [[maybe_unused]] bool multirow = true, const std::string& caption = "", const std::string& caption_short = "", const std::string& label = "", const std::string& position = "", [[maybe_unused]] const std::string& encoding = "utf-8", [[maybe_unused]] const std::vector& formatters = {}) const`` - std::string - pd_dataframe.h:31544 - :ref:`View ` * - ``std::string to_markdown( std::ostream\* buf = nullptr, [[maybe_unused]] const std::string& mode = "wt", bool index = true, const std::string& tablefmt = "pipe", const std::vector& colalign = {}, std::optional showindex = std::nullopt, const std::string& na_rep = "", const std::string& float_format = "", [[maybe_unused]] const std::string& storage_options = "") const`` - std::string - pd_dataframe.h:33363 - :ref:`View ` * - ``inline Series to_numeric(const NDFrameBase& arg, const std::string& errors = "raise")`` - Series - pd_top_level.h:2738 - :ref:`View ` * - ``inline Series to_numeric(const Series& arg, const std::string& errors = "raise")`` - Series - pd_top_level.h:2781 - :ref:`View ` * - ``std::vector to_orc( const std::string& path = "", const std::string& engine = "pyarrow", std::optional index = std::nullopt, [[maybe_unused]] const std::map& engine_kwargs = {}) const`` - std::vector - pd_dataframe.h:28514 - :ref:`View ` * - ``std::vector to_parquet( const std::string& path = "", const std::string& engine = "pyarrow", [[maybe_unused]] const std::string& compression = "snappy", std::optional index = std::nullopt, const std::vector& partition_cols = {}, [[maybe_unused]] const std::string& storage_options = "") const`` - std::vector - pd_dataframe.h:29077 - :ref:`View ` * - ``std::vector to_pickle( const std::string& path = "", [[maybe_unused]] const std::string& compression = "infer", [[maybe_unused]] int protocol = 5, [[maybe_unused]] const std::string& storage_options = "") const`` - std::vector - pd_dataframe.h:29723 - :ref:`View ` * - ``inline std::vector to_pickle( const DataFrame& obj, const std::string& filepath_or_buffer = "", const std::string& compression = "infer", int protocol = 5, const std::string& storage_options = "")`` - std::vector - pd_dataframe.h:43178 - :ref:`View ` * - ``inline std::vector to_postfix(const std::vector& tokens)`` - std::vector - pd_dataframe.h:577 - * - ``numpy::RecordArray to_records( bool index = true, const std::map& column_dtypes = {}, const std::map& index_dtypes = {}) const`` - numpy::RecordArray - pd_dataframe.h:31910 - :ref:`View ` * - ``std::vector> to_records_dict() const`` - std::vector> - pd_dataframe.h:39259 - :ref:`View ` * - ``std::optional to_sql( const std::string& name, const std::string& con_path, const std::string& schema = "", const std::string& if_exists = "fail", bool index = true, const std::string& index_label = "", std::optional chunksize = std::nullopt, const std::map& dtype = {}, const std::string& method = "") const`` - std::optional - pd_dataframe.h:30146 - :ref:`View ` * - ``std::optional to_sql_con( const std::string& name, const std::string& con, const std::string& schema = "", const std::string& if_exists = "fail", bool index = true, const std::string& index_label = "", std::optional chunksize = std::nullopt, const std::map& dtype = {}, const std::string& method = "") const`` - std::optional - pd_dataframe.h:30464 - :ref:`View ` * - ``std::vector to_stata( const std::string& path = "", const std::map& convert_dates = {}, bool write_index = true, const std::string& byteorder = "", const std::string& time_stamp = "", const std::string& data_label = "", const std::map& variable_labels = {}, int version = 114, const std::vector& convert_strl = {}, [[maybe_unused]] const std::string& compression = "infer", const std::map>& value_labels = {}, [[maybe_unused]] const std::string& storage_options = "") const`` - std::vector - pd_dataframe.h:32183 - :ref:`View ` * - ``std::string to_string( std::ostream\* buf, const std::vector& columns = {}, size_t col_space = 0, bool header = true, bool index = true, const std::string& na_rep = "NaN", [[maybe_unused]] const std::string& float_format = "", [[maybe_unused]] bool sparsify = true, [[maybe_unused]] bool index_names = true, [[maybe_unused]] const std::string& justify = "", size_t max_rows = 10, size_t max_cols = 10, bool show_dimensions = true, [[maybe_unused]] char decimal = '.', [[maybe_unused]] size_t line_width = 0, size_t min_rows = 0, [[maybe_unused]] size_t max_colwidth = 0, [[maybe_unused]] const std::string& encoding = "utf-8", [[maybe_unused]] const std::vector& formatters = {}) const`` - std::string - pd_dataframe.h:40588 - :ref:`View ` * - ``std::string to_string() const override`` - std::string - pd_dataframe.h:41010 - :ref:`View ` * - ``to_string(oss, sparse_index, sparse_columns)`` - - pd_styler.h:2048 - :ref:`View ` * - ``std::string to_string_multiindex() const`` - std::string - pd_dataframe.h:42071 - * - ``std::string to_string_multiindex_with_levels() const`` - std::string - pd_dataframe.h:41786 - * - ``std::string to_string_multilevel_columns() const`` - std::string - pd_dataframe.h:41505 - * - ``std::vector to_string_vector() const override`` - std::vector - pd_dataframe.h:40555 - :ref:`View ` * - ``inline TimedeltaArray to_timedelta( const std::vector& values, const std::string& unit = "ns", const std::string& errors = "raise")`` - TimedeltaArray - pd_top_level.h:2621 - :ref:`View ` * - ``TimedeltaArray to_timedelta( const std::vector& values, const std::string& unit = "ns")`` - TimedeltaArray - pd_top_level.h:2692 - :ref:`View ` * - ``Dataset to_xarray() const`` - Dataset - pd_dataframe.h:40375 - :ref:`View ` Combining --------- .. list-table:: :widths: 45 25 15 15 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``inline AlignedResult align_empty_series_to_index(size_t target_size)`` - AlignedResult - pd_dataframe_construct.h:949 - :ref:`View ` * - ``AlignmentResult align_series_to_dataframe( const Series& value, const IndexBase& df_index, bool preserve_dtype)`` - AlignmentResult - pd_dataframe_setitem.h:117 - :ref:`View ` * - ``inline AlignedResult align_series_to_index( const pandas::Series& series, const std::vector& target_index)`` - AlignedResult - pd_dataframe_construct.h:917 - :ref:`View ` * - ``inline Series aligned_string_concat( const Series& s, const Series& o)`` - Series - pd_series.h:16930 - * - ``inline DataFrame concat( const std::vector& objs, int axis = 0, const std::string& join = "outer", bool ignore_index = false, const std::vector& keys = {}, const std::vector>& levels = {}, const std::vector& names = {}, bool verify_integrity = false, bool sort = false, bool copy = true)`` - DataFrame - pd_dataframe.h:42991 - :ref:`View ` * - ``inline DataFrame concat(const std::vector& frames, bool ignore_index)`` - DataFrame - pd_dataframe.h:43008 - :ref:`View ` * - ``inline bool concat_bool_partner_kind(const std::vector& canon_dtypes)`` - bool - pd_concat_series.h:46 - :ref:`View ` * - ``inline bool concat_bool_partner_kind(const std::vector& canon_dtypes)`` - bool - pd_promote.h:1010 - :ref:`View ` * - ``PANDASCORE_API Result concat_dispatch( const std::vector& inputs, int axis = 0, bool ignore_index = false, bool sort = false, const std::optional>& keys = std::nullopt )`` - PANDASCORE_API Result - pd_concat.h:37 - :ref:`View ` * - ``inline pandas::Result concat_dispatch_series_mixed( const std::vector>& inputs, const std::vector& dtype_names_full, bool ignore_index = false)`` - pandas::Result - pd_concat_series.h:66 - :ref:`View ` * - ``inline std::string join_must_be_inner_or_outer_got(const std::string& join)`` - std::string - pd_exceptions.h:217 - :ref:`View ` * - ``inline DataFrame merge( const DataFrame& left, const DataFrame& right, OnT on_column, HowT how, const std::pair& suffixes = {"_x", "_y"})`` - DataFrame - pd_dataframe.h:43128 - :ref:`View ` * - ``inline DataFrame merge( const DataFrame& left, const DataFrame& right, const std::string& how = "inner", const std::vector& on = {}, const std::vector& left_on = {}, const std::vector& right_on = {}, bool left_index = false, bool right_index = false, bool sort = false, const std::pair& suffixes = {"_x", "_y"}, bool copy = true, const std::string& indicator = "", const std::string& validate = "")`` - DataFrame - pd_dataframe.h:43137 - :ref:`View ` * - ``inline DataFrame merge_asof( const DataFrame& left, const DataFrame& right, const std::string& on = "", const std::string& by = "", const std::string& left_on = "", const std::string& right_on = "", const std::pair& suffixes = {"_x", "_y"}, const std::string& direction = "backward", std::optional tolerance = std::nullopt, bool allow_exact_matches = true, const std::optional& left_by = std::nullopt, bool left_index = false, const std::optional& right_by = std::nullopt, bool right_index = false)`` - DataFrame - pd_top_level.h:1930 - :ref:`View ` * - ``inline DataFrame merge_ordered( const DataFrame& left, const DataFrame& right, const std::string& on, const std::string& fill_method = "", const std::pair& suffixes = {"_x", "_y"}, const std::string& how = "outer", const std::optional& left_by = std::nullopt, const std::optional& left_on = std::nullopt, const std::optional& right_by = std::nullopt, const std::optional& right_on = std::nullopt)`` - DataFrame - pd_top_level.h:2065 - :ref:`View ` Reshaping --------- .. list-table:: :widths: 45 25 15 15 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``inline DataFrame melt( const DataFrame& frame, std::initializer_list id_vars, std::initializer_list value_vars, const std::string& var_name = "variable", const std::string& value_name = "value", std::optional col_level = std::nullopt, bool ignore_index = true)`` - DataFrame - pd_dataframe.h:43048 - :ref:`View ` * - ``inline DataFrame melt( const DataFrame& frame, const std::vector& id_vars = {}, const std::vector& value_vars = {}, const std::string& var_name = "variable", const std::string& value_name = "value", std::optional col_level = std::nullopt, bool ignore_index = true)`` - DataFrame - pd_dataframe.h:43061 - :ref:`View ` * - ``inline DataFrame melt( const DataFrame& frame, const std::string& var_name, const std::string& value_name)`` - DataFrame - pd_dataframe.h:43073 - :ref:`View ` * - ``inline DataFrame pivot_table_with_grouper( const DataFrame& df, const std::vector& values, const std::vector>& index_groupers, const std::vector>& column_groupers, const std::string& aggfunc = "mean", double fill_value = std::numeric_limits::quiet_NaN())`` - DataFrame - pd_groupby.h:3840 - :ref:`View ` Statistics ---------- .. list-table:: :widths: 45 25 15 15 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``std::vector> counts(nrows, std::vector(ncols, 0))`` - std::vector> - pd_top_level.h:414 - :ref:`View ` * - ``inline std::string describe_option(const std::string& pattern = "")`` - std::string - pd_top_level.h:326 - :ref:`View ` * - ``std::vector> maxs(nrows, std::vector(ncols, -std::numeric_limits::infinity()))`` - std::vector> - pd_top_level.h:416 - * - ``std::vector> mins(nrows, std::vector(ncols, std::numeric_limits::infinity()))`` - std::vector> - pd_top_level.h:415 - Conversion ---------- .. list-table:: :widths: 45 25 15 15 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``copy_to_clipboard_impl(text)`` - - pd_dataframe.h:33203 - * - ``static void copy_to_clipboard_impl(const std::string& text)`` - static void - pd_dataframe.h:33212 - Other ----- .. list-table:: :widths: 45 25 15 15 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``DataFrameGroupByColumn(const DataFrameGroupBy& parent, const std::string& col)`` - class DataFrameGroupByColumn { public: - pd_groupby.h:696 - * - ``throw DuplicateLabelError(pandas::format_duplicate_label_error(idx))`` - throw - pd_index.h:3515 - :ref:`View ` * - ``GlobalFree(hMem)`` - - pd_dataframe.h:33236 - * - ``GlobalFree(hMem)`` - - pd_dataframe.h:33246 - * - ``GlobalUnlock(hMem)`` - - pd_dataframe.h:33242 - :ref:`View ` * - ``throw IncompatibleDataArgError( "make_series_from_data_arg: unsupported DataArg::kind=" + std::to_string(static_cast(data.kind)))`` - throw - pd_series_apply_dispatch.h:815 - :ref:`View ` * - ``throw IncompatibleFuncArgError( "Series::apply_dispatch: StringName arm is not " "supported for string-typed source (no numeric agg path).")`` - throw - pd_series_apply_dispatch.h:55 - :ref:`View ` * - ``throw IncompatibleFuncArgError( "Series::apply_dispatch: unsupported StringName '" + name + "'")`` - throw - pd_series_apply_dispatch.h:107 - :ref:`View ` * - ``IndexDtype() = default`` - class IndexDtype : public ExtensionDtype { public: using scalar_type = T; - pd_index_dtype.h:32 - * - ``Series(std::initializer_list, std::initializer_list) -> Series`` - - pd_series.h:16351 - :ref:`View ` * - ``std::string acc(non_bool[0])`` - std::string - pd_promote.h:646 - * - ``inline std::string adjoin( int space, const std::vector>& columns, std::string_view justify_mode = "left")`` - std::string - pd_display_formats.h:38 - :ref:`View ` * - ``inline void advance_month(int& year, int& month, int n)`` - void - pd_groupby.h:3416 - * - ``advance_month(ny, nm, 1)`` - - pd_groupby.h:3598 - * - ``inline void advance_months(int& year, int& month, int months_to_add)`` - inline void - pd_dateoffset.h:56 - * - ``inline bool all_whole_numbers(const std::vector& data)`` - bool - pd_value_classify.h:83 - :ref:`View ` * - ``DatetimeArray arr(values)`` - DatetimeArray - pd_datetime_index.h:4380 - :ref:`View ` * - ``DatetimeArray arr(results)`` - DatetimeArray - pd_datetime_index.h:4573 - :ref:`View ` * - ``DatetimeArray arr(business_days)`` - DatetimeArray - pd_datetime_index.h:4597 - :ref:`View ` * - ``DatetimeArray arr(business_days)`` - DatetimeArray - pd_datetime_index.h:4626 - :ref:`View ` * - ``DatetimeArray arr(business_days)`` - DatetimeArray - pd_datetime_index.h:4645 - :ref:`View ` * - ``TimedeltaArray arr(values)`` - TimedeltaArray - pd_timedelta_index.h:3388 - :ref:`View ` * - ``inline BooleanArray array(const numpy::NDArray& data, const std::string& dtype = "", bool copy = false)`` - BooleanArray - pd_boolean_array.h:1012 - :ref:`View ` * - ``inline BooleanArray array(const numpy::NDArray& data, const numpy::NDArray& mask, const std::string& dtype = "", bool copy = false)`` - BooleanArray - pd_boolean_array.h:1029 - :ref:`View ` * - ``inline DatetimeArray array(const numpy::NDArray& data, std::shared_ptr tz = nullptr)`` - DatetimeArray - pd_datetime_array.h:1547 - :ref:`View ` * - ``FloatingArray array(const numpy::NDArray& data, typename std::enable_if>::type\* = nullptr)`` - FloatingArray - pd_floating_array.h:1113 - :ref:`View ` * - ``FloatingArray array(const numpy::NDArray& data, const numpy::NDArray& mask, typename std::enable_if>::type\* = nullptr)`` - FloatingArray - pd_floating_array.h:1122 - :ref:`View ` * - ``IntegerArray array(const numpy::NDArray& data)`` - IntegerArray - pd_integer_array.h:990 - :ref:`View ` * - ``IntegerArray array(const numpy::NDArray& data, const numpy::NDArray& mask)`` - IntegerArray - pd_integer_array.h:998 - :ref:`View ` * - ``inline StringArray array(const numpy::NDArray& data)`` - StringArray - pd_string_array.h:1194 - :ref:`View ` * - ``inline StringArray array(const numpy::NDArray& data, const numpy::NDArray& mask)`` - StringArray - pd_string_array.h:1201 - :ref:`View ` * - ``inline TimedeltaArray array(const numpy::NDArray& data)`` - TimedeltaArray - pd_timedelta_array.h:1581 - :ref:`View ` * - ``std::vector> arrays(nlevels)`` - std::vector> - pd_groupby.h:1039 - :ref:`View ` * - ``std::vector> arrays(nlevels)`` - std::vector> - pd_groupby.h:2841 - :ref:`View ` * - ``std::vector> arrays(n_lvl)`` - std::vector> - pd_rename_spec_impl.h:169 - :ref:`View ` * - ``as_row(v, cols, vals)`` - - pd_apply_visitor.h:96 - * - ``inline std::string axis_must_be_0_or_1_got(long long got)`` - std::string - pd_exceptions.h:169 - :ref:`View ` * - ``inline DatetimeIndex bdate_range( const std::optional& start = std::nullopt, const std::optional& end = std::nullopt, std::optional periods = std::nullopt, const std::string& freq = "B", const std::optional& tz = std::nullopt, bool normalize = true, const std::optional& name = std::nullopt, const std::string& weekmask = "Mon Tue Wed Thu Fri", const std::vector& holidays = {}, const std::string& inclusive = "both")`` - DatetimeIndex - pd_datetime_index.h:4437 - :ref:`View ` * - ``inline std::vector bin_datetime_column_by_freq( const DataFrame& df, const std::string& col_name, const std::string& freq)`` - std::vector - pd_groupby.h:3760 - * - ``inline std::vector bin_datetime_strings_by_freq( const std::vector& date_strings, const std::string& freq)`` - std::vector - pd_groupby.h:3539 - * - ``DataFrame binary_op(const DataFrame& other, BinaryOp op) const`` - DataFrame - pd_dataframe.h:42367 - * - ``DataFrame binary_op_fill(const DataFrame& other, double fill_value, BinaryOp op) const`` - DataFrame - pd_dataframe.h:42633 - * - ``static const char\* build_date()`` - static const char\* - pd_config.h:10 - * - ``inline pandas::MultiIndex build_multiindex_from_string_arrays( const std::vector>& arrays, const std::vector>& names = {})`` - pandas::MultiIndex - pd_dataframe_construct.h:403 - :ref:`View ` * - ``inline std::string c26l_cell_label(const pandas::MapCellInput& in)`` - std::string - pd_series_apply_dispatch.h:1282 - * - ``inline std::optional c26l_cell_to_key(const pandas::MapCellInput& in)`` - std::optional - pd_series_apply_dispatch.h:1304 - * - ``inline void c26l_observe_na( pandas::ApplyResultInference::ScalarKindHistogram& hist)`` - void - pd_series_apply_dispatch.h:1239 - * - ``inline void c26l_observe_value( pandas::ApplyResultInference::ScalarKindHistogram& hist, const V& v)`` - void - pd_series_apply_dispatch.h:1211 - * - ``inline pandas::ApplyCellResult c26l_value_to_cell(const Value& v)`` - pandas::ApplyCellResult - pd_series_apply_dispatch.h:1249 - * - ``inline std::string cannot_astype_convert(const std::string& from_dt, const std::string& to_dt)`` - std::string - pd_exceptions.h:372 - :ref:`View ` * - ``inline std::string cannot_cast(const std::string& from_dt, const std::string& to_dt)`` - std::string - pd_exceptions.h:349 - :ref:`View ` * - ``inline std::string cannot_coerce_index(const std::string& from_index_kind, const std::string& to_value_type)`` - std::string - pd_exceptions.h:306 - :ref:`View ` * - ``inline std::string cannot_compare_types(const std::string& lhs, const std::string& rhs)`` - std::string - pd_exceptions.h:338 - :ref:`View ` * - ``inline std::string cannot_convert_index_to_dtype(const std::string& index_kind, const std::string& dt)`` - std::string - pd_exceptions.h:375 - :ref:`View ` * - ``inline std::string cannot_convert_value_in_column( const std::string& value, const std::string& target_dtype /\*int64\|float64\|bool\*/, const std::string& col_name, std::size_t row_idx, const std::string& reason)`` - std::string - pd_exceptions.h:382 - :ref:`View ` * - ``inline std::string canonical_dtype_name()`` - std::string - pd_dataframe_setitem.h:64 - :ref:`View ` * - ``inline int canonicalise_axis(const std::string& s)`` - int - pd_where.h:82 - :ref:`View ` * - ``inline int canonicalise_axis(int i)`` - int - pd_where.h:92 - :ref:`View ` * - ``inline std::string canonicalize_dtype_for_promote(std::string_view dt)`` - std::string - pd_promote.h:532 - :ref:`View ` * - ``inline std::string categorical_categories_dtype_from_np_dtype(std::string_view np_dt)`` - std::string - pd_categorical_array.h:2276 - :ref:`View ` * - ``std::vector> cats(nlevels)`` - std::vector> - pd_dataframe_construct.h:469 - * - ``inline char cell_to_dtype_kind(const ApplyCellResult& r)`` - char - pd_apply_result.h:153 - :ref:`View ` * - ``std::ifstream check_file(path_or_buf)`` - std::ifstream - pd_dataframe.h:29960 - * - ``std::ifstream check_file(con_path)`` - std::ifstream - pd_dataframe.h:30178 - * - ``std::regex check_re(normalized)`` - std::regex - pd_dataframe.h:44586 - * - ``inline void civil_from_days(std::int64_t z, int& y, unsigned& m, unsigned& d)`` - void - pd_period_formatter.h:44 - * - ``civil_from_days(ord, y, m, d)`` - - pd_period_formatter.h:90 - * - ``inline DTypeInfo classify_dtype(const std::string& dt)`` - DTypeInfo - pd_dtype_classify.h:56 - :ref:`View ` * - ``inline ValueClassification classify_value_dtype(const std::string& dt_full)`` - ValueClassification - pd_value_classify.h:25 - :ref:`View ` * - ``void clear_cache() const override`` - void - pd_dataframe.h:42338 - :ref:`View ` * - ``std::vector> col_data(col_values.size(), std::vector(row_keys.size(), default_fill))`` - std::vector> - pd_dataframe.h:43921 - :ref:`View ` * - ``std::vector> col_data(n_cols)`` - std::vector> - pd_top_level.h:3081 - :ref:`View ` * - ``std::vector> col_mask( col_values.size(), std::vector(row_keys.size(), numpy::bool_(combo_miss_mask_bit)))`` - std::vector> - pd_dataframe.h:43929 - * - ``std::vector> col_val_strs(ncols())`` - std::vector> - pd_dataframe.h:41118 - * - ``std::vector> col_val_strs(ncols())`` - std::vector> - pd_dataframe.h:41564 - * - ``std::vector> col_val_strs(ncols())`` - std::vector> - pd_dataframe.h:41846 - * - ``std::vector> col_val_strs(ncols())`` - std::vector> - pd_dataframe.h:42123 - * - ``inline CollectIndexUnionResult collect_index_union(const std::vector& infos)`` - CollectIndexUnionResult - pd_dataframe_construct.h:880 - :ref:`View ` * - ``std::istringstream cols_stream(cols_def)`` - std::istringstream - pd_dataframe.h:38591 - * - ``std::vector> columns(col_names.size())`` - std::vector> - pd_dataframe.h:35025 - :ref:`View ` * - ``std::vector> columns(col_indices.size())`` - std::vector> - pd_dataframe.h:37355 - :ref:`View ` * - ``std::vector> columns_data(col_names.size())`` - std::vector> - pd_dataframe.h:38683 - * - ``std::vector> columns_data(group_names.size())`` - std::vector> - pd_dataframe.h:44596 - * - ``std::regex compact_day_re(R"(^(\\d{4})(\\d{2})(\\d{2})$)")`` - std::regex - pd_period_ordinal_utils.h:534 - * - ``inline std::string compose_override(std::string_view src_full, std::string_view op, std::string_view result_dtype)`` - std::string - pd_dtype_override.h:241 - :ref:`View ` * - ``static size_t compute_column_width_mi_col( size_t header_len, size_t max_data_len, size_t max_positive_len, bool has_negative, bool is_numeric, bool is_bool, bool is_datetime, bool is_timedelta, bool all_nan)`` - static size_t - pd_dataframe.h:40975 - * - ``static size_t compute_column_width_plain( size_t header_len, size_t max_data_len, size_t max_positive_len, bool has_negative, bool is_numeric, bool is_bool, bool is_datetime, bool is_timedelta, bool all_nan, bool is_sparse)`` - static size_t - pd_dataframe.h:40923 - * - ``inline std::vector compute_holidays(const std::vector& rules, DateYMD start, DateYMD end)`` - std::vector - pd_holiday.h:204 - * - ``inline TimedeltaComponents compute_timedelta_components(const TimedeltaArray& arr)`` - TimedeltaComponents - pd_timedelta_array.h:138 - * - ``inline TimedeltaComponents compute_timedelta_components(const TimedeltaArray& arr)`` - TimedeltaComponents - pd_timedelta_array.h:1592 - * - ``inline int64_t compute_weekly_origin(int64_t first_midnight_ns, int freq_mult, bool closed_right)`` - int64_t - pd_resampler.h:49 - * - ``inline std::vector convert_ns_strings_to_dates(const std::vector& vals)`` - std::vector - pd_groupby.h:3256 - * - ``inline std::string cum_widen_dtype_from_name(const std::string& src)`` - std::string - pd_series.h:125 - * - ``inline std::string cumaxis1_widen_dtype( const std::vector& src_dtypes, bool empty_frame )`` - std::string - pd_dataframe.h:107 - * - ``numpy::datetime64 current(start)`` - numpy::datetime64 - pd_datetime_index.h:4665 - :ref:`View ` * - ``inline DisplayConfig current_display_config()`` - DisplayConfig - pd_display_config.h:37 - * - ``CutResult cut( const std::vector& x, const std::variant>& bins, bool right = true, const std::vector& labels = {}, bool include_lowest = false, const std::string& duplicates = "raise", bool ordered = true, int precision = 3, bool retbins = false)`` - CutResult - pd_top_level.h:718 - :ref:`View ` * - ``inline std::string dataframe_block_common_type( const std::vector& src_dtypes, bool any_na_introduction)`` - std::string - pd_promote.h:595 - * - ``inline DatetimeIndex date_range( const std::optional& start = std::nullopt, const std::optional& end = std::nullopt, std::optional periods = std::nullopt, const std::string& freq = "D", const std::optional& tz = std::nullopt, bool normalize = false, const std::optional& name = std::nullopt, const std::string& inclusive = "both", const std::string& unit = "ns", const std::string& tz_display = "")`` - DatetimeIndex - pd_datetime_index.h:3801 - :ref:`View ` * - ``inline DatetimeIndex date_range(const std::string& start, int periods, const std::string& freq = "D")`` - DatetimeIndex - pd_datetime_index.h:4412 - :ref:`View ` * - ``inline DatetimeIndex date_range_with_offset( const DateOffset& offset, const std::string& start, const std::optional& end = std::nullopt, std::optional periods = std::nullopt, const std::optional& name = std::nullopt)`` - DatetimeIndex - pd_datetime_index.h:4658 - :ref:`View ` * - ``inline int64_t date_to_days_since_epoch(int year, int month, int day)`` - int64_t - pd_period_ordinal_utils.h:69 - * - ``inline int64_t date_to_ordinal(int year, int month, int day, int hour, int minute, int second, PeriodFrequency freq)`` - int64_t - pd_period_ordinal_utils.h:481 - * - ``inline int64_t datetime64_to_ns(const numpy::datetime64& dt)`` - int64_t - pd_dataframe_construct.h:57 - :ref:`View ` * - ``inline std::vector> datetime_index_to_ns_values(const DatetimeIndexT& dti)`` - std::vector> - pd_dataframe_construct.h:75 - * - ``std::regex datetime_nosec_re(R"(^(\\d{4})-(\\d{1,2})-(\\d{1,2})[T ](\\d{1,2}):(\\d{1,2})$)")`` - std::regex - pd_period_ordinal_utils.h:538 - * - ``std::regex datetime_re(R"(^(\\d{4})-(\\d{1,2})-(\\d{1,2})[T ](\\d{1,2}):(\\d{1,2}):(\\d{1,2}).\*$)")`` - std::regex - pd_period_ordinal_utils.h:536 - * - ``inline int64_t datetime_to_period_ordinal(int64_t ns, const std::string& freq)`` - int64_t - pd_period_ordinal_utils.h:166 - * - ``inline int64_t datetime_unit_to_ns_multiplier(const std::string& u)`` - int64_t - pd_top_level.h:2407 - :ref:`View ` * - ``inline int day_of_week(int y, int m, int d)`` - int - pd_holiday.h:47 - :ref:`View ` * - ``inline int day_of_week_monday0(int64_t day_ord)`` - int - pd_groupby.h:3290 - * - ``inline int64_t day_of_week_sunday0(int64_t midnight_ns)`` - int64_t - pd_resampler.h:39 - * - ``inline void day_ord_to_ymd(int64_t z, int& y, int& m, int& d)`` - void - pd_groupby.h:3276 - * - ``day_ord_to_ymd(day_ord, y, m, d)`` - - pd_groupby.h:3338 - * - ``day_ord_to_ymd(label_ord, y, m, d)`` - - pd_groupby.h:3721 - * - ``day_ord_to_ymd(day_ord, y, m, d)`` - - pd_groupby.h:3738 - * - ``std::regex day_re(R"(^(\\d{4})-(\\d{1,2})-(\\d{1,2})$)")`` - std::regex - pd_period_ordinal_utils.h:532 - * - ``inline std::int64_t days_from_civil(int y, unsigned m, unsigned d)`` - std::int64_t - pd_period_formatter.h:57 - * - ``inline int days_in_month(int year, int month)`` - inline int - pd_dateoffset.h:30 - :ref:`View ` * - ``inline int days_in_month(int y, int m)`` - int - pd_holiday.h:37 - :ref:`View ` * - ``inline int days_in_month_helper(int year, int month)`` - int - pd_period_ordinal_utils.h:58 - * - ``inline void days_since_epoch_to_date(int64_t days, int& year, int& month, int& day)`` - void - pd_period_ordinal_utils.h:87 - * - ``days_since_epoch_to_date(days, year, month, day)`` - - pd_period_ordinal_utils.h:183 - * - ``days_since_epoch_to_date(days, year, month, day)`` - - pd_period_ordinal_utils.h:215 - * - ``days_since_epoch_to_date(days, year, month, day)`` - - pd_period_ordinal_utils.h:248 - * - ``days_since_epoch_to_date(days, year, month, day)`` - - pd_period_ordinal_utils.h:283 - * - ``inline std::string detail_float_to_python_str(double v)`` - std::string - pd_categorical_array.h:2297 - * - ``inline void detect_int_columns(std::vector& columns)`` - void - pd_dataframe_construct.h:266 - :ref:`View ` * - ``inline TupleKeyInfo detect_tuple_key_levels( const std::vector>& key_components)`` - TupleKeyInfo - pd_dataframe_construct.h:322 - :ref:`View ` * - ``inline std::pair detect_tz_uniformity(const std::vector& tz_strings)`` - std::pair - pd_value_classify.h:72 - :ref:`View ` * - ``numpy::datetime64 dt(sv)`` - numpy::datetime64 - pd_dataframe.h:35373 - :ref:`View ` * - ``numpy::datetime64 dt(lbl)`` - numpy::datetime64 - pd_dataframe.h:35402 - :ref:`View ` * - ``inline int dt64_fractional_digits(Datetime64Resolution r)`` - int - pd_datetime64_formatter.h:50 - * - ``inline void dt64_split(std::int64_t ticks, Datetime64Resolution r, std::int64_t& epoch_s, std::int64_t& sub)`` - void - pd_datetime64_formatter.h:76 - * - ``inline std::int64_t dt64_ticks_per_second(Datetime64Resolution r)`` - std::int64_t - pd_datetime64_formatter.h:39 - * - ``DatetimeIndex dt_idx(std::move(dt_arr), period_idx->name())`` - DatetimeIndex - pd_resampler.h:1741 - :ref:`View ` * - ``DatetimeIndex dt_idx(std::move(dt_arr), period_idx->name())`` - DatetimeIndex - pd_resampler.h:3892 - :ref:`View ` * - ``inline std::string dtype_category_to_canonical_string(DTypeCategory cat, const DTypeInfo& info)`` - std::string - pd_dtype_classify.h:154 - :ref:`View ` * - ``emit_mi_row(r, r, r == 0)`` - - pd_dataframe.h:42034 - * - ``emit_mi_row(nrows() - tail_n_mil + r, head_n_mil + r, false)`` - - pd_dataframe.h:42057 - * - ``emit_mi_row_simple(r, r, r == 0)`` - - pd_dataframe.h:42288 - * - ``emit_mi_row_simple(nrows() - tail_n_mi + r, head_n_mi + r, false)`` - - pd_dataframe.h:42309 - * - ``emit_param_row(r)`` - - pd_dataframe.h:40887 - * - ``emit_param_row(nrows() - p_tail_n + r)`` - - pd_dataframe.h:40904 - * - ``inline std::string ensure_dtype_can_hold_na(std::string_view src)`` - std::string - pd_promote.h:63 - :ref:`View ` * - ``inline std::string epoch_ms_to_iso(int64_t ms)`` - std::string - json.h:258 - * - ``escape_html(url) + ""`` - - pd_dataframe.h:31286 - * - ``oss << escape_latex(index_->name().value())`` - oss << - pd_dataframe.h:31753 - * - ``oss << escape_latex(col_name)`` - oss << - pd_dataframe.h:31765 - * - ``oss << escape_latex(index_->name().value())`` - oss << - pd_dataframe.h:31783 - * - ``oss << escape_latex(col_name)`` - oss << - pd_dataframe.h:31793 - * - ``oss << escape_latex(idx_val)`` - oss << - pd_dataframe.h:31817 - * - ``inline std::string extract_date_if_midnight(const std::string& s)`` - std::string - pd_datetime_utils.h:73 - :ref:`View ` * - ``inline std::vector extract_epoch_seconds(const DatetimeIndex& dti)`` - std::vector - pd_rolling.h:583 - :ref:`View ` * - ``std::ofstream file(path, std::ios::binary)`` - std::ofstream - pd_dataframe.h:29015 - :ref:`View ` * - ``std::ofstream file(path, std::ios::binary)`` - std::ofstream - pd_dataframe.h:29659 - :ref:`View ` * - ``std::ofstream file(path, std::ios::binary)`` - std::ofstream - pd_dataframe.h:29839 - :ref:`View ` * - ``std::ofstream file(excel_writer, std::ios::binary)`` - std::ofstream - pd_dataframe.h:31023 - :ref:`View ` * - ``std::ofstream file(path, std::ios::binary)`` - std::ofstream - pd_dataframe.h:33085 - :ref:`View ` * - ``std::ifstream file(filepath_or_buffer)`` - std::ifstream - pd_dataframe.h:34680 - :ref:`View ` * - ``std::ifstream file(path_or_buf)`` - std::ifstream - pd_dataframe.h:35826 - :ref:`View ` * - ``std::ifstream file(io, std::ios::binary \| std::ios::ate)`` - std::ifstream - pd_dataframe.h:36852 - :ref:`View ` * - ``std::ifstream file(path, std::ios::binary \| std::ios::ate)`` - std::ifstream - pd_dataframe.h:37827 - :ref:`View ` * - ``std::ifstream file(con)`` - std::ifstream - pd_dataframe.h:38567 - :ref:`View ` * - ``std::ifstream file(path, std::ios::binary \| std::ios::ate)`` - std::ifstream - pd_dataframe.h:38788 - :ref:`View ` * - ``std::ifstream file(path, std::ios::binary \| std::ios::ate)`` - std::ifstream - pd_dataframe.h:39181 - :ref:`View ` * - ``std::ofstream file(path, std::ios::binary)`` - std::ofstream - pd_dataframe.h:40327 - :ref:`View ` * - ``std::ofstream file(path_, std::ios::binary)`` - std::ofstream - pd_excel.h:607 - :ref:`View ` * - ``std::ifstream file(path_, std::ios::binary \| std::ios::ate)`` - std::ifstream - pd_excel.h:976 - :ref:`View ` * - ``std::ifstream file(filepath_or_buffer)`` - std::ifstream - pd_top_level.h:2978 - :ref:`View ` * - ``fill_slot(slot_idx, tmp)`` - - pd_apply_visitor.h:432 - * - ``inline Series finalize_transform_callable( const Series