Undocumented public functions

The following was found by http://nbviewer.ipython.org/urls/gist.github.com/JanSchulz/6874142/raw/fadef84066d89b3ceb7532e762ed06d87904f3c4/pandas_api.ipynb (and changing all context to pandas in api.rst)

• pandas.DataFrame.all:
• pandas.DataFrame.as_blocks:
• pandas.DataFrame.at_time:
• pandas.DataFrame.between_time:
• pandas.DataFrame.bfill:
• pandas.DataFrame.blocks:
• pandas.DataFrame.columns:
• pandas.DataFrame.compound:
• pandas.DataFrame.consolidate:
• pandas.DataFrame.divide:
• pandas.DataFrame.dot:
• pandas.DataFrame.empty:
• pandas.DataFrame.ffill:
• pandas.DataFrame.ftypes:
• pandas.DataFrame.get:
• pandas.DataFrame.get_ftype_counts:
• pandas.DataFrame.get_value:
• pandas.DataFrame.get_values:
• pandas.DataFrame.icol:
• pandas.DataFrame.iget_value:
• pandas.DataFrame.index:
• pandas.DataFrame.interpolate:
• pandas.DataFrame.irow:
• pandas.DataFrame.iterkv:
• pandas.DataFrame.keys:
• pandas.DataFrame.kurtosis:
• pandas.DataFrame.load:
• pandas.DataFrame.mask:
• pandas.DataFrame.multiply:
• pandas.DataFrame.pivot_table:
• pandas.DataFrame.product:
• pandas.DataFrame.rename_axis:
• pandas.DataFrame.save:
• pandas.DataFrame.set_value:
• pandas.DataFrame.squeeze:
• pandas.DataFrame.subtract:
• pandas.DataFrame.swapaxes:
• pandas.DataFrame.to_dense:
• pandas.DataFrame.to_latex:
• pandas.DataFrame.to_sql:
• pandas.DataFrame.to_wide:
• pandas.DataFrame.tshift:
• pandas.DataFrame.where:
• pandas.HDFStore.append_to_multiple:
• pandas.HDFStore.close:
• pandas.HDFStore.copy:
• pandas.HDFStore.create_table_index:
• pandas.HDFStore.flush:
• pandas.HDFStore.get_node:
• pandas.HDFStore.get_storer:
• pandas.HDFStore.groups:
• pandas.HDFStore.is_open:
• pandas.HDFStore.items:
• pandas.HDFStore.iteritems:
• pandas.HDFStore.keys:
• pandas.HDFStore.open:
• pandas.HDFStore.remove:
• pandas.HDFStore.root:
• pandas.HDFStore.select_as_coordinates:
• pandas.HDFStore.select_as_multiple:
• pandas.HDFStore.select_column:
• pandas.HDFStore.unique:
• pandas.tseries.index.DatetimeIndex.T:
• pandas.tseries.index.DatetimeIndex.all:
• pandas.tseries.index.DatetimeIndex.any:
• pandas.tseries.index.DatetimeIndex.append:
• pandas.tseries.index.DatetimeIndex.argmax:
• pandas.tseries.index.DatetimeIndex.argmin:
• pandas.tseries.index.DatetimeIndex.argpartition:
• pandas.tseries.index.DatetimeIndex.argsort:
• pandas.tseries.index.DatetimeIndex.asi8:
• pandas.tseries.index.DatetimeIndex.asobject:
• pandas.tseries.index.DatetimeIndex.asof:
• pandas.tseries.index.DatetimeIndex.asof_locs:
• pandas.tseries.index.DatetimeIndex.astype:
• pandas.tseries.index.DatetimeIndex.base:
• pandas.tseries.index.DatetimeIndex.byteswap:
• pandas.tseries.index.DatetimeIndex.choose:
• pandas.tseries.index.DatetimeIndex.clip:
• pandas.tseries.index.DatetimeIndex.compress:
• pandas.tseries.index.DatetimeIndex.conj:
• pandas.tseries.index.DatetimeIndex.conjugate:
• pandas.tseries.index.DatetimeIndex.copy:
• pandas.tseries.index.DatetimeIndex.ctypes:
• pandas.tseries.index.DatetimeIndex.cumprod:
• pandas.tseries.index.DatetimeIndex.cumsum:
• pandas.tseries.index.DatetimeIndex.data:
• pandas.tseries.index.DatetimeIndex.date:
• pandas.tseries.index.DatetimeIndex.day:
• pandas.tseries.index.DatetimeIndex.dayofweek:
• pandas.tseries.index.DatetimeIndex.dayofyear:
• pandas.tseries.index.DatetimeIndex.delete:
• pandas.tseries.index.DatetimeIndex.diagonal:
• pandas.tseries.index.DatetimeIndex.diff:
• pandas.tseries.index.DatetimeIndex.dot:
• pandas.tseries.index.DatetimeIndex.drop:
• pandas.tseries.index.DatetimeIndex.dtype:
• pandas.tseries.index.DatetimeIndex.dump:
• pandas.tseries.index.DatetimeIndex.dumps:
• pandas.tseries.index.DatetimeIndex.equals:
• pandas.tseries.index.DatetimeIndex.fill:
• pandas.tseries.index.DatetimeIndex.flags:
• pandas.tseries.index.DatetimeIndex.flat:
• pandas.tseries.index.DatetimeIndex.flatten:
• pandas.tseries.index.DatetimeIndex.format:
• pandas.tseries.index.DatetimeIndex.freq:
• pandas.tseries.index.DatetimeIndex.freqstr:
• pandas.tseries.index.DatetimeIndex.get_duplicates:
• pandas.tseries.index.DatetimeIndex.get_indexer:
• pandas.tseries.index.DatetimeIndex.get_indexer_non_unique:
• pandas.tseries.index.DatetimeIndex.get_level_values:
• pandas.tseries.index.DatetimeIndex.get_loc:
• pandas.tseries.index.DatetimeIndex.get_value:
• pandas.tseries.index.DatetimeIndex.get_value_maybe_box:
• pandas.tseries.index.DatetimeIndex.get_values:
• pandas.tseries.index.DatetimeIndex.getfield:
• pandas.tseries.index.DatetimeIndex.groupby:
• pandas.tseries.index.DatetimeIndex.holds_integer:
• pandas.tseries.index.DatetimeIndex.hour:
• pandas.tseries.index.DatetimeIndex.identical:
• pandas.tseries.index.DatetimeIndex.imag:
• pandas.tseries.index.DatetimeIndex.inferred_freq:
• pandas.tseries.index.DatetimeIndex.inferred_type:
• pandas.tseries.index.DatetimeIndex.insert:
• pandas.tseries.index.DatetimeIndex.intersection:
• pandas.tseries.index.DatetimeIndex.is_:
• pandas.tseries.index.DatetimeIndex.is_all_dates:
• pandas.tseries.index.DatetimeIndex.is_floating:
• pandas.tseries.index.DatetimeIndex.is_integer:
• pandas.tseries.index.DatetimeIndex.is_lexsorted_for_tuple:
• pandas.tseries.index.DatetimeIndex.is_mixed:
• pandas.tseries.index.DatetimeIndex.is_monotonic:
• pandas.tseries.index.DatetimeIndex.is_normalized:
• pandas.tseries.index.DatetimeIndex.is_numeric:
• pandas.tseries.index.DatetimeIndex.is_type_compatible:
• pandas.tseries.index.DatetimeIndex.is_unique:
• pandas.tseries.index.DatetimeIndex.isin:
• pandas.tseries.index.DatetimeIndex.item:
• pandas.tseries.index.DatetimeIndex.itemset:
• pandas.tseries.index.DatetimeIndex.itemsize:
• pandas.tseries.index.DatetimeIndex.join:
• pandas.tseries.index.DatetimeIndex.map:
• pandas.tseries.index.DatetimeIndex.max:
• pandas.tseries.index.DatetimeIndex.mean:
• pandas.tseries.index.DatetimeIndex.microsecond:
• pandas.tseries.index.DatetimeIndex.min:
• pandas.tseries.index.DatetimeIndex.minute:
• pandas.tseries.index.DatetimeIndex.month:
• pandas.tseries.index.DatetimeIndex.name:
• pandas.tseries.index.DatetimeIndex.names:
• pandas.tseries.index.DatetimeIndex.nanosecond:
• pandas.tseries.index.DatetimeIndex.nbytes:
• pandas.tseries.index.DatetimeIndex.ndim:
• pandas.tseries.index.DatetimeIndex.newbyteorder:
• pandas.tseries.index.DatetimeIndex.nlevels:
• pandas.tseries.index.DatetimeIndex.nonzero:
• pandas.tseries.index.DatetimeIndex.offset:
• pandas.tseries.index.DatetimeIndex.order:
• pandas.tseries.index.DatetimeIndex.partition:
• pandas.tseries.index.DatetimeIndex.prod:
• pandas.tseries.index.DatetimeIndex.ptp:
• pandas.tseries.index.DatetimeIndex.put:
• pandas.tseries.index.DatetimeIndex.quarter:
• pandas.tseries.index.DatetimeIndex.ravel:
• pandas.tseries.index.DatetimeIndex.real:
• pandas.tseries.index.DatetimeIndex.reindex:
• pandas.tseries.index.DatetimeIndex.rename:
• pandas.tseries.index.DatetimeIndex.repeat:
• pandas.tseries.index.DatetimeIndex.reshape:
• pandas.tseries.index.DatetimeIndex.resize:
• pandas.tseries.index.DatetimeIndex.resolution:
• pandas.tseries.index.DatetimeIndex.round:
• pandas.tseries.index.DatetimeIndex.searchsorted:
• pandas.tseries.index.DatetimeIndex.second:
• pandas.tseries.index.DatetimeIndex.set_names:
• pandas.tseries.index.DatetimeIndex.set_value:
• pandas.tseries.index.DatetimeIndex.setfield:
• pandas.tseries.index.DatetimeIndex.setflags:
• pandas.tseries.index.DatetimeIndex.shape:
• pandas.tseries.index.DatetimeIndex.shift:
• pandas.tseries.index.DatetimeIndex.size:
• pandas.tseries.index.DatetimeIndex.slice_indexer:
• pandas.tseries.index.DatetimeIndex.slice_locs:
• pandas.tseries.index.DatetimeIndex.sort:
• pandas.tseries.index.DatetimeIndex.squeeze:
• pandas.tseries.index.DatetimeIndex.std:
• pandas.tseries.index.DatetimeIndex.strides:
• pandas.tseries.index.DatetimeIndex.sum:
• pandas.tseries.index.DatetimeIndex.summary:
• pandas.tseries.index.DatetimeIndex.swapaxes:
• pandas.tseries.index.DatetimeIndex.take:
• pandas.tseries.index.DatetimeIndex.time:
• pandas.tseries.index.DatetimeIndex.to_native_types:
• pandas.tseries.index.DatetimeIndex.to_series:
• pandas.tseries.index.DatetimeIndex.tofile:
• pandas.tseries.index.DatetimeIndex.tolist:
• pandas.tseries.index.DatetimeIndex.tostring:
• pandas.tseries.index.DatetimeIndex.trace:
• pandas.tseries.index.DatetimeIndex.transpose:
• pandas.tseries.index.DatetimeIndex.tzinfo:
• pandas.tseries.index.DatetimeIndex.union:
• pandas.tseries.index.DatetimeIndex.union_many:
• pandas.tseries.index.DatetimeIndex.unique:
• pandas.tseries.index.DatetimeIndex.values:
• pandas.tseries.index.DatetimeIndex.var:
• pandas.tseries.index.DatetimeIndex.view:
• pandas.tseries.index.DatetimeIndex.week:
• pandas.tseries.index.DatetimeIndex.weekday:
• pandas.tseries.index.DatetimeIndex.weekofyear:
• pandas.tseries.index.DatetimeIndex.year:
• pandas.core.index.Index.T:
• pandas.core.index.Index.all:
• pandas.core.index.Index.any:
• pandas.core.index.Index.argmax:
• pandas.core.index.Index.argmin:
• pandas.core.index.Index.argpartition:
• pandas.core.index.Index.asi8:
• pandas.core.index.Index.asof:
• pandas.core.index.Index.asof_locs:
• pandas.core.index.Index.base:
• pandas.core.index.Index.byteswap:
• pandas.core.index.Index.choose:
• pandas.core.index.Index.clip:
• pandas.core.index.Index.compress:
• pandas.core.index.Index.conj:
• pandas.core.index.Index.conjugate:
• pandas.core.index.Index.ctypes:
• pandas.core.index.Index.cumprod:
• pandas.core.index.Index.cumsum:
• pandas.core.index.Index.data:
• pandas.core.index.Index.diagonal:
• pandas.core.index.Index.dot:
• pandas.core.index.Index.dtype:
• pandas.core.index.Index.dump:
• pandas.core.index.Index.dumps:
• pandas.core.index.Index.fill:
• pandas.core.index.Index.flags:
• pandas.core.index.Index.flat:
• pandas.core.index.Index.flatten:
• pandas.core.index.Index.format:
• pandas.core.index.Index.get_duplicates:
• pandas.core.index.Index.get_values:
• pandas.core.index.Index.getfield:
• pandas.core.index.Index.groupby:
• pandas.core.index.Index.holds_integer:
• pandas.core.index.Index.imag:
• pandas.core.index.Index.inferred_type:
• pandas.core.index.Index.is_:
• pandas.core.index.Index.is_all_dates:
• pandas.core.index.Index.is_floating:
• pandas.core.index.Index.is_integer:
• pandas.core.index.Index.is_lexsorted_for_tuple:
• pandas.core.index.Index.is_mixed:
• pandas.core.index.Index.is_type_compatible:
• pandas.core.index.Index.is_unique:
• pandas.core.index.Index.item:
• pandas.core.index.Index.itemset:
• pandas.core.index.Index.itemsize:
• pandas.core.index.Index.map:
• pandas.core.index.Index.max:
• pandas.core.index.Index.mean:
• pandas.core.index.Index.min:
• pandas.core.index.Index.name:
• pandas.core.index.Index.names:
• pandas.core.index.Index.nbytes:
• pandas.core.index.Index.ndim:
• pandas.core.index.Index.newbyteorder:
• pandas.core.index.Index.nlevels:
• pandas.core.index.Index.nonzero:
• pandas.core.index.Index.partition:
• pandas.core.index.Index.prod:
• pandas.core.index.Index.ptp:
• pandas.core.index.Index.put:
• pandas.core.index.Index.ravel:
• pandas.core.index.Index.real:
• pandas.core.index.Index.rename:
• pandas.core.index.Index.reshape:
• pandas.core.index.Index.resize:
• pandas.core.index.Index.round:
• pandas.core.index.Index.searchsorted:
• pandas.core.index.Index.set_value:
• pandas.core.index.Index.setfield:
• pandas.core.index.Index.setflags:
• pandas.core.index.Index.shape:
• pandas.core.index.Index.size:
• pandas.core.index.Index.squeeze:
• pandas.core.index.Index.std:
• pandas.core.index.Index.strides:
• pandas.core.index.Index.sum:
• pandas.core.index.Index.summary:
• pandas.core.index.Index.swapaxes:
• pandas.core.index.Index.take:
• pandas.core.index.Index.to_native_types:
• pandas.core.index.Index.tofile:
• pandas.core.index.Index.tostring:
• pandas.core.index.Index.trace:
• pandas.core.index.Index.transpose:
• pandas.core.index.Index.values:
• pandas.core.index.Index.var:
• pandas.core.index.Index.view:
• pandas.Panel.align:
• pandas.Panel.as_blocks:
• pandas.Panel.as_matrix:
• pandas.Panel.at:
• pandas.Panel.at_time:
• pandas.Panel.between_time:
• pandas.Panel.bfill:
• pandas.Panel.blocks:
• pandas.Panel.compound:
• pandas.Panel.consolidate:
• pandas.Panel.convert_objects:
• pandas.Panel.divide:
• pandas.Panel.empty:
• pandas.Panel.ffill:
• pandas.Panel.fromDict:
• pandas.Panel.get:
• pandas.Panel.get_dtype_counts:
• pandas.Panel.get_ftype_counts:
• pandas.Panel.get_values:
• pandas.Panel.iat:
• pandas.Panel.iloc:
• pandas.Panel.interpolate:
• pandas.Panel.items:
• pandas.Panel.iterkv:
• pandas.Panel.keys:
• pandas.Panel.kurt:
• pandas.Panel.kurtosis:
• pandas.Panel.load:
• pandas.Panel.loc:
• pandas.Panel.mad:
• pandas.Panel.major_axis:
• pandas.Panel.mask:
• pandas.Panel.minor_axis:
• pandas.Panel.multiply:
• pandas.Panel.product:
• pandas.Panel.rename_axis:
• pandas.Panel.replace:
• pandas.Panel.save:
• pandas.Panel.squeeze:
• pandas.Panel.subtract:
• pandas.Panel.toLong:
• pandas.Panel.to_dense:
• pandas.Panel.to_hdf:
• pandas.Panel.to_json:
• pandas.Panel.to_long:
• pandas.Panel.tshift:
• pandas.Panel.where:
• pandas.Series.T:
• pandas.Series.add_prefix:
• pandas.Series.add_suffix:
• pandas.Series.all:
• pandas.Series.argmax:
• pandas.Series.argmin:
• pandas.Series.as_blocks:
• pandas.Series.as_matrix:
• pandas.Series.at_time:
• pandas.Series.axes:
• pandas.Series.base:
• pandas.Series.between_time:
• pandas.Series.bfill:
• pandas.Series.blocks:
• pandas.Series.compound:
• pandas.Series.consolidate:
• pandas.Series.convert_objects:
• pandas.Series.data:
• pandas.Series.divide:
• pandas.Series.dot:
• pandas.Series.drop_duplicates:
• pandas.Series.duplicated:
• pandas.Series.empty:
• pandas.Series.ffill:
• pandas.Series.filter:
• pandas.Series.flags:
• pandas.Series.from_array:
• pandas.Series.ftype:
• pandas.Series.get_dtype_counts:
• pandas.Series.get_ftype_counts:
• pandas.Series.get_value:
• pandas.Series.get_values:
• pandas.Series.iget:
• pandas.Series.iget_value:
• pandas.Series.imag:
• pandas.Series.index:
• pandas.Series.irow:
• pandas.Series.is_time_series:
• pandas.Series.item:
• pandas.Series.iterkv:
• pandas.Series.keys:
• pandas.Series.kurtosis:
• pandas.Series.load:
• pandas.Series.mask:
• pandas.Series.multiply:
• pandas.Series.ndim:
• pandas.Series.nonzero:
• pandas.Series.pop:
• pandas.Series.product:
• pandas.Series.ptp:
• pandas.Series.put:
• pandas.Series.ravel:
• pandas.Series.real:
• pandas.Series.reindex_axis:
• pandas.Series.rename_axis:
• pandas.Series.repeat:
• pandas.Series.reshape:
• pandas.Series.save:
• pandas.Series.set_value:
• pandas.Series.shape:
• pandas.Series.size:
• pandas.Series.squeeze:
• pandas.Series.str:
• pandas.Series.strides:
• pandas.Series.subtract:
• pandas.Series.swapaxes:
• pandas.Series.to_dense:
• pandas.Series.to_hdf:
• pandas.Series.to_json:
• pandas.Series.to_period:
• pandas.Series.to_timestamp:
• pandas.Series.tolist:
• pandas.Series.transpose:
• pandas.Series.tshift:
• pandas.Series.valid:
• pandas.Series.view:
• pandas.Series.where:
• pandas.Series.xs:
• pandas.ExcelFile.close:
• pandas.ExcelFile.sheet_names:
• pandas.Categorical:
• pandas.DataFrame:
• pandas.DateOffset:
• pandas.DateRange:
• pandas.DatetimeIndex:
• pandas.ExcelFile:
• pandas.ExcelWriter:
• pandas.Expr:
• pandas.Float64Index:
• pandas.HDFStore:
• pandas.Index:
• pandas.Int64Index:
• pandas.LooseVersion:
• pandas.MultiIndex:
• pandas.NaT:
• pandas.Panel:
• pandas.Panel4D:
• pandas.Period:
• pandas.PeriodIndex:
• pandas.Series:
• pandas.SparseArray:
• pandas.SparseDataFrame:
• pandas.SparseList:
• pandas.SparsePanel:
• pandas.SparseSeries:
• pandas.SparseTimeSeries:
• pandas.Term:
• pandas.TimeGrouper:
• pandas.TimeSeries:
• pandas.Timestamp:
• pandas.WidePanel:
• pandas.algos:
• pandas.bdate_range:
• pandas.compat:
• pandas.computation:
• pandas.core:
• pandas.crosstab:
• pandas.cut:
• pandas.date_range:
• pandas.datetime:
• pandas.datetools:
• pandas.debug:
• pandas.describe_option:
• pandas.ewmvol:
• pandas.expanding_corr_pairwise:
• pandas.expanding_max:
• pandas.expanding_min:
• pandas.factorize:
• pandas.fama_macbeth:
• pandas.get_option:
• pandas.get_store:
• pandas.groupby:
• pandas.hashtable:
• pandas.index:
• pandas.infer_freq:
• pandas.info:
• pandas.io:
• pandas.json:
• pandas.lib:
• pandas.load:
• pandas.lreshape:
• pandas.match:
• pandas.melt:
• pandas.np:
• pandas.offsets:
• pandas.ols:
• pandas.options:
• pandas.ordered_merge:
• pandas.pandas:
• pandas.parser:
• pandas.period_range:
• pandas.pivot:
• pandas.plot_params:
• pandas.pnow:
• pandas.qcut:
• pandas.reset_option:
• pandas.rolling_corr_pairwise:
• pandas.rolling_max:
• pandas.rolling_min:
• pandas.rolling_window:
• pandas.save:
• pandas.scatter_matrix:
• pandas.set_eng_float_format:
• pandas.set_option:
• pandas.sparse:
• pandas.stats:
• pandas.to_pickle:
• pandas.tools:
• pandas.tseries:
• pandas.tslib:
• pandas.unique:
• pandas.util:
• pandas.value_counts:
• pandas.value_range:
• pandas.version: