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API documentation of pandas
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pandas_api.ipynb
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Changes to api.rst\n",
"\n",
"To get this output, change alle context (apart from the one for StringMethods) to \"pandas\", so that the official API is picked up from the pandas module."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas\n",
"methods = []\n",
"# see below for the code to generate this code\n",
"#methods.extend([\"pandas.StataWriter.\"+x for x in dir(pandas.StataWriter)])\n",
"#methods.extend([\"pandas.StataReader.\"+x for x in dir(pandas.StataReader)])\n",
"methods.extend([\"pandas.DataFrame.\"+x for x in dir(pandas.DataFrame)])\n",
"methods.extend([\"pandas.HDFStore.\"+x for x in dir(pandas.HDFStore)])\n",
"methods.extend([\"pandas.tseries.index.DatetimeIndex.\"+x for x in dir(pandas.tseries.index.DatetimeIndex)])\n",
"methods.extend([\"pandas.core.index.Index.\"+x for x in dir(pandas.core.index.Index)])\n",
"methods.extend([\"pandas.Panel.\"+x for x in dir(pandas.Panel)])\n",
"methods.extend([\"pandas.Series.\"+x for x in dir(pandas.Series)])\n",
"methods.extend([\"pandas.ExcelFile.\"+x for x in dir(pandas.ExcelFile)])\n",
"methods.extend([\"pandas.\"+x for x in dir(pandas)])\n",
"# throws an error?\n",
"# dir(pandas.core) # -> has no strings??\n",
"#methods.extend([\"pandas.core.strings.StringMethods.\"+x for x in dir(pandas.core.strings.StringMethods)])\n",
"public_methods = [x for x in methods if not \"._\" in x]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"API_doc = \"C:\\\\data\\\\external\\\\pandas\\\\doc\\\\source\\\\api.rst\"\n",
"cur_context = \"\"\n",
"all_context = []\n",
"documented = []\n",
"for line in open(API_doc):\n",
" if len(line.strip()) < 2:\n",
" continue\n",
" if \":toctree:\" in line:\n",
" continue\n",
" if \".. currentmodule::\" in line:\n",
" # a new context: set the context and use the next line\n",
" cur_context = line[19:].strip()\n",
" all_context.append(cur_context)\n",
"# print cur_context\n",
" continue\n",
" if line[0:3] == \" \":\n",
" if len(line[3:].strip().split()) > 1:\n",
" # Code fragments are without whitespace inbetween \n",
" # and just one per line\n",
" continue\n",
" fragment = line.strip()\n",
" documented.append(cur_context + \".\" + fragment)\n",
"all_context = list(set(all_context))\n",
"modul_or_classes = list(set([\".\".join(code.split(\".\")[:-1]) for code in documented]))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print modul_or_classes"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"['pandas.StataWriter', 'pandas.DataFrame', 'pandas.HDFStore', 'pandas.tseries.index.DatetimeIndex', 'pandas.core.index.Index', 'pandas.Panel', 'pandas.Series', 'pandas.core.strings.StringMethods', 'pandas.ExcelFile', 'pandas', 'pandas.StataReader']\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"undocumented = [code for code in public_methods if code not in documented]\n",
"overdocumented = [code for code in documented if code not in public_methods]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print \"public methods: %s; documented: %s, undocumented: %s\" % (len(public_methods), len(documented), len(undocumented))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"public methods: 983; documented: 503, undocumented: 522\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"undocumented"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"['pandas.DataFrame.all',\n",
" 'pandas.DataFrame.as_blocks',\n",
" 'pandas.DataFrame.at_time',\n",
" 'pandas.DataFrame.between_time',\n",
" 'pandas.DataFrame.bfill',\n",
" 'pandas.DataFrame.blocks',\n",
" 'pandas.DataFrame.columns',\n",
" 'pandas.DataFrame.compound',\n",
" 'pandas.DataFrame.consolidate',\n",
" 'pandas.DataFrame.divide',\n",
" 'pandas.DataFrame.dot',\n",
" 'pandas.DataFrame.empty',\n",
" 'pandas.DataFrame.ffill',\n",
" 'pandas.DataFrame.ftypes',\n",
" 'pandas.DataFrame.get',\n",
" 'pandas.DataFrame.get_ftype_counts',\n",
" 'pandas.DataFrame.get_value',\n",
" 'pandas.DataFrame.get_values',\n",
" 'pandas.DataFrame.icol',\n",
" 'pandas.DataFrame.iget_value',\n",
" 'pandas.DataFrame.index',\n",
" 'pandas.DataFrame.interpolate',\n",
" 'pandas.DataFrame.irow',\n",
" 'pandas.DataFrame.iterkv',\n",
" 'pandas.DataFrame.keys',\n",
" 'pandas.DataFrame.kurtosis',\n",
" 'pandas.DataFrame.load',\n",
" 'pandas.DataFrame.mask',\n",
" 'pandas.DataFrame.multiply',\n",
" 'pandas.DataFrame.pivot_table',\n",
" 'pandas.DataFrame.product',\n",
" 'pandas.DataFrame.rename_axis',\n",
" 'pandas.DataFrame.save',\n",
" 'pandas.DataFrame.set_value',\n",
" 'pandas.DataFrame.squeeze',\n",
" 'pandas.DataFrame.subtract',\n",
" 'pandas.DataFrame.swapaxes',\n",
" 'pandas.DataFrame.to_dense',\n",
" 'pandas.DataFrame.to_latex',\n",
" 'pandas.DataFrame.to_sql',\n",
" 'pandas.DataFrame.to_wide',\n",
" 'pandas.DataFrame.tshift',\n",
" 'pandas.DataFrame.where',\n",
" 'pandas.HDFStore.append_to_multiple',\n",
" 'pandas.HDFStore.close',\n",
" 'pandas.HDFStore.copy',\n",
" 'pandas.HDFStore.create_table_index',\n",
" 'pandas.HDFStore.flush',\n",
" 'pandas.HDFStore.get_node',\n",
" 'pandas.HDFStore.get_storer',\n",
" 'pandas.HDFStore.groups',\n",
" 'pandas.HDFStore.is_open',\n",
" 'pandas.HDFStore.items',\n",
" 'pandas.HDFStore.iteritems',\n",
" 'pandas.HDFStore.keys',\n",
" 'pandas.HDFStore.open',\n",
" 'pandas.HDFStore.remove',\n",
" 'pandas.HDFStore.root',\n",
" 'pandas.HDFStore.select_as_coordinates',\n",
" 'pandas.HDFStore.select_as_multiple',\n",
" 'pandas.HDFStore.select_column',\n",
" 'pandas.HDFStore.unique',\n",
" 'pandas.tseries.index.DatetimeIndex.T',\n",
" 'pandas.tseries.index.DatetimeIndex.all',\n",
" 'pandas.tseries.index.DatetimeIndex.any',\n",
" 'pandas.tseries.index.DatetimeIndex.append',\n",
" 'pandas.tseries.index.DatetimeIndex.argmax',\n",
" 'pandas.tseries.index.DatetimeIndex.argmin',\n",
" 'pandas.tseries.index.DatetimeIndex.argpartition',\n",
" 'pandas.tseries.index.DatetimeIndex.argsort',\n",
" 'pandas.tseries.index.DatetimeIndex.asi8',\n",
" 'pandas.tseries.index.DatetimeIndex.asobject',\n",
" 'pandas.tseries.index.DatetimeIndex.asof',\n",
" 'pandas.tseries.index.DatetimeIndex.asof_locs',\n",
" 'pandas.tseries.index.DatetimeIndex.astype',\n",
" 'pandas.tseries.index.DatetimeIndex.base',\n",
" 'pandas.tseries.index.DatetimeIndex.byteswap',\n",
" 'pandas.tseries.index.DatetimeIndex.choose',\n",
" 'pandas.tseries.index.DatetimeIndex.clip',\n",
" 'pandas.tseries.index.DatetimeIndex.compress',\n",
" 'pandas.tseries.index.DatetimeIndex.conj',\n",
" 'pandas.tseries.index.DatetimeIndex.conjugate',\n",
" 'pandas.tseries.index.DatetimeIndex.copy',\n",
" 'pandas.tseries.index.DatetimeIndex.ctypes',\n",
" 'pandas.tseries.index.DatetimeIndex.cumprod',\n",
" 'pandas.tseries.index.DatetimeIndex.cumsum',\n",
" 'pandas.tseries.index.DatetimeIndex.data',\n",
" 'pandas.tseries.index.DatetimeIndex.date',\n",
" 'pandas.tseries.index.DatetimeIndex.day',\n",
" 'pandas.tseries.index.DatetimeIndex.dayofweek',\n",
" 'pandas.tseries.index.DatetimeIndex.dayofyear',\n",
" 'pandas.tseries.index.DatetimeIndex.delete',\n",
" 'pandas.tseries.index.DatetimeIndex.diagonal',\n",
" 'pandas.tseries.index.DatetimeIndex.diff',\n",
" 'pandas.tseries.index.DatetimeIndex.dot',\n",
" 'pandas.tseries.index.DatetimeIndex.drop',\n",
" 'pandas.tseries.index.DatetimeIndex.dtype',\n",
" 'pandas.tseries.index.DatetimeIndex.dump',\n",
" 'pandas.tseries.index.DatetimeIndex.dumps',\n",
" 'pandas.tseries.index.DatetimeIndex.equals',\n",
" 'pandas.tseries.index.DatetimeIndex.fill',\n",
" 'pandas.tseries.index.DatetimeIndex.flags',\n",
" 'pandas.tseries.index.DatetimeIndex.flat',\n",
" 'pandas.tseries.index.DatetimeIndex.flatten',\n",
" 'pandas.tseries.index.DatetimeIndex.format',\n",
" 'pandas.tseries.index.DatetimeIndex.freq',\n",
" 'pandas.tseries.index.DatetimeIndex.freqstr',\n",
" 'pandas.tseries.index.DatetimeIndex.get_duplicates',\n",
" 'pandas.tseries.index.DatetimeIndex.get_indexer',\n",
" 'pandas.tseries.index.DatetimeIndex.get_indexer_non_unique',\n",
" 'pandas.tseries.index.DatetimeIndex.get_level_values',\n",
" 'pandas.tseries.index.DatetimeIndex.get_loc',\n",
" 'pandas.tseries.index.DatetimeIndex.get_value',\n",
" 'pandas.tseries.index.DatetimeIndex.get_value_maybe_box',\n",
" 'pandas.tseries.index.DatetimeIndex.get_values',\n",
" 'pandas.tseries.index.DatetimeIndex.getfield',\n",
" 'pandas.tseries.index.DatetimeIndex.groupby',\n",
" 'pandas.tseries.index.DatetimeIndex.holds_integer',\n",
" 'pandas.tseries.index.DatetimeIndex.hour',\n",
" 'pandas.tseries.index.DatetimeIndex.identical',\n",
" 'pandas.tseries.index.DatetimeIndex.imag',\n",
" 'pandas.tseries.index.DatetimeIndex.inferred_freq',\n",
" 'pandas.tseries.index.DatetimeIndex.inferred_type',\n",
" 'pandas.tseries.index.DatetimeIndex.insert',\n",
" 'pandas.tseries.index.DatetimeIndex.intersection',\n",
" 'pandas.tseries.index.DatetimeIndex.is_',\n",
" 'pandas.tseries.index.DatetimeIndex.is_all_dates',\n",
" 'pandas.tseries.index.DatetimeIndex.is_floating',\n",
" 'pandas.tseries.index.DatetimeIndex.is_integer',\n",
" 'pandas.tseries.index.DatetimeIndex.is_lexsorted_for_tuple',\n",
" 'pandas.tseries.index.DatetimeIndex.is_mixed',\n",
" 'pandas.tseries.index.DatetimeIndex.is_monotonic',\n",
" 'pandas.tseries.index.DatetimeIndex.is_normalized',\n",
" 'pandas.tseries.index.DatetimeIndex.is_numeric',\n",
" 'pandas.tseries.index.DatetimeIndex.is_type_compatible',\n",
" 'pandas.tseries.index.DatetimeIndex.is_unique',\n",
" 'pandas.tseries.index.DatetimeIndex.isin',\n",
" 'pandas.tseries.index.DatetimeIndex.item',\n",
" 'pandas.tseries.index.DatetimeIndex.itemset',\n",
" 'pandas.tseries.index.DatetimeIndex.itemsize',\n",
" 'pandas.tseries.index.DatetimeIndex.join',\n",
" 'pandas.tseries.index.DatetimeIndex.map',\n",
" 'pandas.tseries.index.DatetimeIndex.max',\n",
" 'pandas.tseries.index.DatetimeIndex.mean',\n",
" 'pandas.tseries.index.DatetimeIndex.microsecond',\n",
" 'pandas.tseries.index.DatetimeIndex.min',\n",
" 'pandas.tseries.index.DatetimeIndex.minute',\n",
" 'pandas.tseries.index.DatetimeIndex.month',\n",
" 'pandas.tseries.index.DatetimeIndex.name',\n",
" 'pandas.tseries.index.DatetimeIndex.names',\n",
" 'pandas.tseries.index.DatetimeIndex.nanosecond',\n",
" 'pandas.tseries.index.DatetimeIndex.nbytes',\n",
" 'pandas.tseries.index.DatetimeIndex.ndim',\n",
" 'pandas.tseries.index.DatetimeIndex.newbyteorder',\n",
" 'pandas.tseries.index.DatetimeIndex.nlevels',\n",
" 'pandas.tseries.index.DatetimeIndex.nonzero',\n",
" 'pandas.tseries.index.DatetimeIndex.offset',\n",
" 'pandas.tseries.index.DatetimeIndex.order',\n",
" 'pandas.tseries.index.DatetimeIndex.partition',\n",
" 'pandas.tseries.index.DatetimeIndex.prod',\n",
" 'pandas.tseries.index.DatetimeIndex.ptp',\n",
" 'pandas.tseries.index.DatetimeIndex.put',\n",
" 'pandas.tseries.index.DatetimeIndex.quarter',\n",
" 'pandas.tseries.index.DatetimeIndex.ravel',\n",
" 'pandas.tseries.index.DatetimeIndex.real',\n",
" 'pandas.tseries.index.DatetimeIndex.reindex',\n",
" 'pandas.tseries.index.DatetimeIndex.rename',\n",
" 'pandas.tseries.index.DatetimeIndex.repeat',\n",
" 'pandas.tseries.index.DatetimeIndex.reshape',\n",
" 'pandas.tseries.index.DatetimeIndex.resize',\n",
" 'pandas.tseries.index.DatetimeIndex.resolution',\n",
" 'pandas.tseries.index.DatetimeIndex.round',\n",
" 'pandas.tseries.index.DatetimeIndex.searchsorted',\n",
" 'pandas.tseries.index.DatetimeIndex.second',\n",
" 'pandas.tseries.index.DatetimeIndex.set_names',\n",
" 'pandas.tseries.index.DatetimeIndex.set_value',\n",
" 'pandas.tseries.index.DatetimeIndex.setfield',\n",
" 'pandas.tseries.index.DatetimeIndex.setflags',\n",
" 'pandas.tseries.index.DatetimeIndex.shape',\n",
" 'pandas.tseries.index.DatetimeIndex.shift',\n",
" 'pandas.tseries.index.DatetimeIndex.size',\n",
" 'pandas.tseries.index.DatetimeIndex.slice_indexer',\n",
" 'pandas.tseries.index.DatetimeIndex.slice_locs',\n",
" 'pandas.tseries.index.DatetimeIndex.sort',\n",
" 'pandas.tseries.index.DatetimeIndex.squeeze',\n",
" 'pandas.tseries.index.DatetimeIndex.std',\n",
" 'pandas.tseries.index.DatetimeIndex.strides',\n",
" 'pandas.tseries.index.DatetimeIndex.sum',\n",
" 'pandas.tseries.index.DatetimeIndex.summary',\n",
" 'pandas.tseries.index.DatetimeIndex.swapaxes',\n",
" 'pandas.tseries.index.DatetimeIndex.take',\n",
" 'pandas.tseries.index.DatetimeIndex.time',\n",
" 'pandas.tseries.index.DatetimeIndex.to_native_types',\n",
" 'pandas.tseries.index.DatetimeIndex.to_series',\n",
" 'pandas.tseries.index.DatetimeIndex.tofile',\n",
" 'pandas.tseries.index.DatetimeIndex.tolist',\n",
" 'pandas.tseries.index.DatetimeIndex.tostring',\n",
" 'pandas.tseries.index.DatetimeIndex.trace',\n",
" 'pandas.tseries.index.DatetimeIndex.transpose',\n",
" 'pandas.tseries.index.DatetimeIndex.tzinfo',\n",
" 'pandas.tseries.index.DatetimeIndex.union',\n",
" 'pandas.tseries.index.DatetimeIndex.union_many',\n",
" 'pandas.tseries.index.DatetimeIndex.unique',\n",
" 'pandas.tseries.index.DatetimeIndex.values',\n",
" 'pandas.tseries.index.DatetimeIndex.var',\n",
" 'pandas.tseries.index.DatetimeIndex.view',\n",
" 'pandas.tseries.index.DatetimeIndex.week',\n",
" 'pandas.tseries.index.DatetimeIndex.weekday',\n",
" 'pandas.tseries.index.DatetimeIndex.weekofyear',\n",
" 'pandas.tseries.index.DatetimeIndex.year',\n",
" 'pandas.core.index.Index.T',\n",
" 'pandas.core.index.Index.all',\n",
" 'pandas.core.index.Index.any',\n",
" 'pandas.core.index.Index.argmax',\n",
" 'pandas.core.index.Index.argmin',\n",
" 'pandas.core.index.Index.argpartition',\n",
" 'pandas.core.index.Index.asi8',\n",
" 'pandas.core.index.Index.asof',\n",
" 'pandas.core.index.Index.asof_locs',\n",
" 'pandas.core.index.Index.base',\n",
" 'pandas.core.index.Index.byteswap',\n",
" 'pandas.core.index.Index.choose',\n",
" 'pandas.core.index.Index.clip',\n",
" 'pandas.core.index.Index.compress',\n",
" 'pandas.core.index.Index.conj',\n",
" 'pandas.core.index.Index.conjugate',\n",
" 'pandas.core.index.Index.ctypes',\n",
" 'pandas.core.index.Index.cumprod',\n",
" 'pandas.core.index.Index.cumsum',\n",
" 'pandas.core.index.Index.data',\n",
" 'pandas.core.index.Index.diagonal',\n",
" 'pandas.core.index.Index.dot',\n",
" 'pandas.core.index.Index.dtype',\n",
" 'pandas.core.index.Index.dump',\n",
" 'pandas.core.index.Index.dumps',\n",
" 'pandas.core.index.Index.fill',\n",
" 'pandas.core.index.Index.flags',\n",
" 'pandas.core.index.Index.flat',\n",
" 'pandas.core.index.Index.flatten',\n",
" 'pandas.core.index.Index.format',\n",
" 'pandas.core.index.Index.get_duplicates',\n",
" 'pandas.core.index.Index.get_values',\n",
" 'pandas.core.index.Index.getfield',\n",
" 'pandas.core.index.Index.groupby',\n",
" 'pandas.core.index.Index.holds_integer',\n",
" 'pandas.core.index.Index.imag',\n",
" 'pandas.core.index.Index.inferred_type',\n",
" 'pandas.core.index.Index.is_',\n",
" 'pandas.core.index.Index.is_all_dates',\n",
" 'pandas.core.index.Index.is_floating',\n",
" 'pandas.core.index.Index.is_integer',\n",
" 'pandas.core.index.Index.is_lexsorted_for_tuple',\n",
" 'pandas.core.index.Index.is_mixed',\n",
" 'pandas.core.index.Index.is_type_compatible',\n",
" 'pandas.core.index.Index.is_unique',\n",
" 'pandas.core.index.Index.item',\n",
" 'pandas.core.index.Index.itemset',\n",
" 'pandas.core.index.Index.itemsize',\n",
" 'pandas.core.index.Index.map',\n",
" 'pandas.core.index.Index.max',\n",
" 'pandas.core.index.Index.mean',\n",
" 'pandas.core.index.Index.min',\n",
" 'pandas.core.index.Index.name',\n",
" 'pandas.core.index.Index.names',\n",
" 'pandas.core.index.Index.nbytes',\n",
" 'pandas.core.index.Index.ndim',\n",
" 'pandas.core.index.Index.newbyteorder',\n",
" 'pandas.core.index.Index.nlevels',\n",
" 'pandas.core.index.Index.nonzero',\n",
" 'pandas.core.index.Index.partition',\n",
" 'pandas.core.index.Index.prod',\n",
" 'pandas.core.index.Index.ptp',\n",
" 'pandas.core.index.Index.put',\n",
" 'pandas.core.index.Index.ravel',\n",
" 'pandas.core.index.Index.real',\n",
" 'pandas.core.index.Index.rename',\n",
" 'pandas.core.index.Index.reshape',\n",
" 'pandas.core.index.Index.resize',\n",
" 'pandas.core.index.Index.round',\n",
" 'pandas.core.index.Index.searchsorted',\n",
" 'pandas.core.index.Index.set_value',\n",
" 'pandas.core.index.Index.setfield',\n",
" 'pandas.core.index.Index.setflags',\n",
" 'pandas.core.index.Index.shape',\n",
" 'pandas.core.index.Index.size',\n",
" 'pandas.core.index.Index.squeeze',\n",
" 'pandas.core.index.Index.std',\n",
" 'pandas.core.index.Index.strides',\n",
" 'pandas.core.index.Index.sum',\n",
" 'pandas.core.index.Index.summary',\n",
" 'pandas.core.index.Index.swapaxes',\n",
" 'pandas.core.index.Index.take',\n",
" 'pandas.core.index.Index.to_native_types',\n",
" 'pandas.core.index.Index.tofile',\n",
" 'pandas.core.index.Index.tostring',\n",
" 'pandas.core.index.Index.trace',\n",
" 'pandas.core.index.Index.transpose',\n",
" 'pandas.core.index.Index.values',\n",
" 'pandas.core.index.Index.var',\n",
" 'pandas.core.index.Index.view',\n",
" 'pandas.Panel.align',\n",
" 'pandas.Panel.as_blocks',\n",
" 'pandas.Panel.as_matrix',\n",
" 'pandas.Panel.at',\n",
" 'pandas.Panel.at_time',\n",
" 'pandas.Panel.between_time',\n",
" 'pandas.Panel.bfill',\n",
" 'pandas.Panel.blocks',\n",
" 'pandas.Panel.compound',\n",
" 'pandas.Panel.consolidate',\n",
" 'pandas.Panel.convert_objects',\n",
" 'pandas.Panel.divide',\n",
" 'pandas.Panel.empty',\n",
" 'pandas.Panel.ffill',\n",
" 'pandas.Panel.fromDict',\n",
" 'pandas.Panel.get',\n",
" 'pandas.Panel.get_dtype_counts',\n",
" 'pandas.Panel.get_ftype_counts',\n",
" 'pandas.Panel.get_values',\n",
" 'pandas.Panel.iat',\n",
" 'pandas.Panel.iloc',\n",
" 'pandas.Panel.interpolate',\n",
" 'pandas.Panel.items',\n",
" 'pandas.Panel.iterkv',\n",
" 'pandas.Panel.keys',\n",
" 'pandas.Panel.kurt',\n",
" 'pandas.Panel.kurtosis',\n",
" 'pandas.Panel.load',\n",
" 'pandas.Panel.loc',\n",
" 'pandas.Panel.mad',\n",
" 'pandas.Panel.major_axis',\n",
" 'pandas.Panel.mask',\n",
" 'pandas.Panel.minor_axis',\n",
" 'pandas.Panel.multiply',\n",
" 'pandas.Panel.product',\n",
" 'pandas.Panel.rename_axis',\n",
" 'pandas.Panel.replace',\n",
" 'pandas.Panel.save',\n",
" 'pandas.Panel.squeeze',\n",
" 'pandas.Panel.subtract',\n",
" 'pandas.Panel.toLong',\n",
" 'pandas.Panel.to_dense',\n",
" 'pandas.Panel.to_hdf',\n",
" 'pandas.Panel.to_json',\n",
" 'pandas.Panel.to_long',\n",
" 'pandas.Panel.tshift',\n",
" 'pandas.Panel.where',\n",
" 'pandas.Series.T',\n",
" 'pandas.Series.add_prefix',\n",
" 'pandas.Series.add_suffix',\n",
" 'pandas.Series.all',\n",
" 'pandas.Series.argmax',\n",
" 'pandas.Series.argmin',\n",
" 'pandas.Series.as_blocks',\n",
" 'pandas.Series.as_matrix',\n",
" 'pandas.Series.at_time',\n",
" 'pandas.Series.axes',\n",
" 'pandas.Series.base',\n",
" 'pandas.Series.between_time',\n",
" 'pandas.Series.bfill',\n",
" 'pandas.Series.blocks',\n",
" 'pandas.Series.compound',\n",
" 'pandas.Series.consolidate',\n",
" 'pandas.Series.convert_objects',\n",
" 'pandas.Series.data',\n",
" 'pandas.Series.divide',\n",
" 'pandas.Series.dot',\n",
" 'pandas.Series.drop_duplicates',\n",
" 'pandas.Series.duplicated',\n",
" 'pandas.Series.empty',\n",
" 'pandas.Series.ffill',\n",
" 'pandas.Series.filter',\n",
" 'pandas.Series.flags',\n",
" 'pandas.Series.from_array',\n",
" 'pandas.Series.ftype',\n",
" 'pandas.Series.get_dtype_counts',\n",
" 'pandas.Series.get_ftype_counts',\n",
" 'pandas.Series.get_value',\n",
" 'pandas.Series.get_values',\n",
" 'pandas.Series.iget',\n",
" 'pandas.Series.iget_value',\n",
" 'pandas.Series.imag',\n",
" 'pandas.Series.index',\n",
" 'pandas.Series.irow',\n",
" 'pandas.Series.is_time_series',\n",
" 'pandas.Series.item',\n",
" 'pandas.Series.iterkv',\n",
" 'pandas.Series.keys',\n",
" 'pandas.Series.kurtosis',\n",
" 'pandas.Series.load',\n",
" 'pandas.Series.mask',\n",
" 'pandas.Series.multiply',\n",
" 'pandas.Series.ndim',\n",
" 'pandas.Series.nonzero',\n",
" 'pandas.Series.pop',\n",
" 'pandas.Series.product',\n",
" 'pandas.Series.ptp',\n",
" 'pandas.Series.put',\n",
" 'pandas.Series.ravel',\n",
" 'pandas.Series.real',\n",
" 'pandas.Series.reindex_axis',\n",
" 'pandas.Series.rename_axis',\n",
" 'pandas.Series.repeat',\n",
" 'pandas.Series.reshape',\n",
" 'pandas.Series.save',\n",
" 'pandas.Series.set_value',\n",
" 'pandas.Series.shape',\n",
" 'pandas.Series.size',\n",
" 'pandas.Series.squeeze',\n",
" 'pandas.Series.str',\n",
" 'pandas.Series.strides',\n",
" 'pandas.Series.subtract',\n",
" 'pandas.Series.swapaxes',\n",
" 'pandas.Series.to_dense',\n",
" 'pandas.Series.to_hdf',\n",
" 'pandas.Series.to_json',\n",
" 'pandas.Series.to_period',\n",
" 'pandas.Series.to_timestamp',\n",
" 'pandas.Series.tolist',\n",
" 'pandas.Series.transpose',\n",
" 'pandas.Series.tshift',\n",
" 'pandas.Series.valid',\n",
" 'pandas.Series.view',\n",
" 'pandas.Series.where',\n",
" 'pandas.Series.xs',\n",
" 'pandas.ExcelFile.close',\n",
" 'pandas.ExcelFile.sheet_names',\n",
" 'pandas.Categorical',\n",
" 'pandas.DataFrame',\n",
" 'pandas.DateOffset',\n",
" 'pandas.DateRange',\n",
" 'pandas.DatetimeIndex',\n",
" 'pandas.ExcelFile',\n",
" 'pandas.ExcelWriter',\n",
" 'pandas.Expr',\n",
" 'pandas.Float64Index',\n",
" 'pandas.HDFStore',\n",
" 'pandas.Index',\n",
" 'pandas.Int64Index',\n",
" 'pandas.LooseVersion',\n",
" 'pandas.MultiIndex',\n",
" 'pandas.NaT',\n",
" 'pandas.Panel',\n",
" 'pandas.Panel4D',\n",
" 'pandas.Period',\n",
" 'pandas.PeriodIndex',\n",
" 'pandas.Series',\n",
" 'pandas.SparseArray',\n",
" 'pandas.SparseDataFrame',\n",
" 'pandas.SparseList',\n",
" 'pandas.SparsePanel',\n",
" 'pandas.SparseSeries',\n",
" 'pandas.SparseTimeSeries',\n",
" 'pandas.Term',\n",
" 'pandas.TimeGrouper',\n",
" 'pandas.TimeSeries',\n",
" 'pandas.Timestamp',\n",
" 'pandas.WidePanel',\n",
" 'pandas.algos',\n",
" 'pandas.bdate_range',\n",
" 'pandas.compat',\n",
" 'pandas.computation',\n",
" 'pandas.core',\n",
" 'pandas.crosstab',\n",
" 'pandas.cut',\n",
" 'pandas.date_range',\n",
" 'pandas.datetime',\n",
" 'pandas.datetools',\n",
" 'pandas.debug',\n",
" 'pandas.describe_option',\n",
" 'pandas.ewmvol',\n",
" 'pandas.expanding_corr_pairwise',\n",
" 'pandas.expanding_max',\n",
" 'pandas.expanding_min',\n",
" 'pandas.factorize',\n",
" 'pandas.fama_macbeth',\n",
" 'pandas.get_option',\n",
" 'pandas.get_store',\n",
" 'pandas.groupby',\n",
" 'pandas.hashtable',\n",
" 'pandas.index',\n",
" 'pandas.infer_freq',\n",
" 'pandas.info',\n",
" 'pandas.io',\n",
" 'pandas.json',\n",
" 'pandas.lib',\n",
" 'pandas.load',\n",
" 'pandas.lreshape',\n",
" 'pandas.match',\n",
" 'pandas.melt',\n",
" 'pandas.np',\n",
" 'pandas.offsets',\n",
" 'pandas.ols',\n",
" 'pandas.options',\n",
" 'pandas.ordered_merge',\n",
" 'pandas.pandas',\n",
" 'pandas.parser',\n",
" 'pandas.period_range',\n",
" 'pandas.pivot',\n",
" 'pandas.plot_params',\n",
" 'pandas.pnow',\n",
" 'pandas.qcut',\n",
" 'pandas.reset_option',\n",
" 'pandas.rolling_corr_pairwise',\n",
" 'pandas.rolling_max',\n",
" 'pandas.rolling_min',\n",
" 'pandas.rolling_window',\n",
" 'pandas.save',\n",
" 'pandas.scatter_matrix',\n",
" 'pandas.set_eng_float_format',\n",
" 'pandas.set_option',\n",
" 'pandas.sparse',\n",
" 'pandas.stats',\n",
" 'pandas.to_pickle',\n",
" 'pandas.tools',\n",
" 'pandas.tseries',\n",
" 'pandas.tslib',\n",
" 'pandas.unique',\n",
" 'pandas.util',\n",
" 'pandas.value_counts',\n",
" 'pandas.value_range',\n",
" 'pandas.version']"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for i in undocumented:\n",
" print \"* %s:\" % i"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"* pandas.DataFrame.all:\n",
"* pandas.DataFrame.as_blocks:\n",
"* pandas.DataFrame.at_time:\n",
"* pandas.DataFrame.between_time:\n",
"* pandas.DataFrame.bfill:\n",
"* pandas.DataFrame.blocks:\n",
"* pandas.DataFrame.columns:\n",
"* pandas.DataFrame.compound:\n",
"* pandas.DataFrame.consolidate:\n",
"* pandas.DataFrame.divide:\n",
"* pandas.DataFrame.dot:\n",
"* pandas.DataFrame.empty:\n",
"* pandas.DataFrame.ffill:\n",
"* pandas.DataFrame.ftypes:\n",
"* pandas.DataFrame.get:\n",
"* pandas.DataFrame.get_ftype_counts:\n",
"* pandas.DataFrame.get_value:\n",
"* pandas.DataFrame.get_values:\n",
"* pandas.DataFrame.icol:\n",
"* pandas.DataFrame.iget_value:\n",
"* pandas.DataFrame.index:\n",
"* pandas.DataFrame.interpolate:\n",
"* pandas.DataFrame.irow:\n",
"* pandas.DataFrame.iterkv:\n",
"* pandas.DataFrame.keys:\n",
"* pandas.DataFrame.kurtosis:\n",
"* pandas.DataFrame.load:\n",
"* pandas.DataFrame.mask:\n",
"* pandas.DataFrame.multiply:\n",
"* pandas.DataFrame.pivot_table:\n",
"* pandas.DataFrame.product:\n",
"* pandas.DataFrame.rename_axis:\n",
"* pandas.DataFrame.save:\n",
"* pandas.DataFrame.set_value:\n",
"* pandas.DataFrame.squeeze:\n",
"* pandas.DataFrame.subtract:\n",
"* pandas.DataFrame.swapaxes:\n",
"* pandas.DataFrame.to_dense:\n",
"* pandas.DataFrame.to_latex:\n",
"* pandas.DataFrame.to_sql:\n",
"* pandas.DataFrame.to_wide:\n",
"* pandas.DataFrame.tshift:\n",
"* pandas.DataFrame.where:\n",
"* pandas.HDFStore.append_to_multiple:\n",
"* pandas.HDFStore.close:\n",
"* pandas.HDFStore.copy:\n",
"* pandas.HDFStore.create_table_index:\n",
"* pandas.HDFStore.flush:\n",
"* pandas.HDFStore.get_node:\n",
"* pandas.HDFStore.get_storer:\n",
"* pandas.HDFStore.groups:\n",
"* pandas.HDFStore.is_open:\n",
"* pandas.HDFStore.items:\n",
"* pandas.HDFStore.iteritems:\n",
"* pandas.HDFStore.keys:\n",
"* pandas.HDFStore.open:\n",
"* pandas.HDFStore.remove:\n",
"* pandas.HDFStore.root:\n",
"* pandas.HDFStore.select_as_coordinates:\n",
"* pandas.HDFStore.select_as_multiple:\n",
"* pandas.HDFStore.select_column:\n",
"* pandas.HDFStore.unique:\n",
"* pandas.tseries.index.DatetimeIndex.T:\n",
"* pandas.tseries.index.DatetimeIndex.all:\n",
"* pandas.tseries.index.DatetimeIndex.any:\n",
"* pandas.tseries.index.DatetimeIndex.append:\n",
"* pandas.tseries.index.DatetimeIndex.argmax:\n",
"* pandas.tseries.index.DatetimeIndex.argmin:\n",
"* pandas.tseries.index.DatetimeIndex.argpartition:\n",
"* pandas.tseries.index.DatetimeIndex.argsort:\n",
"* pandas.tseries.index.DatetimeIndex.asi8:\n",
"* pandas.tseries.index.DatetimeIndex.asobject:\n",
"* pandas.tseries.index.DatetimeIndex.asof:\n",
"* pandas.tseries.index.DatetimeIndex.asof_locs:\n",
"* pandas.tseries.index.DatetimeIndex.astype:\n",
"* pandas.tseries.index.DatetimeIndex.base:\n",
"* pandas.tseries.index.DatetimeIndex.byteswap:\n",
"* pandas.tseries.index.DatetimeIndex.choose:\n",
"* pandas.tseries.index.DatetimeIndex.clip:\n",
"* pandas.tseries.index.DatetimeIndex.compress:\n",
"* pandas.tseries.index.DatetimeIndex.conj:\n",
"* pandas.tseries.index.DatetimeIndex.conjugate:\n",
"* pandas.tseries.index.DatetimeIndex.copy:\n",
"* pandas.tseries.index.DatetimeIndex.ctypes:\n",
"* pandas.tseries.index.DatetimeIndex.cumprod:\n",
"* pandas.tseries.index.DatetimeIndex.cumsum:\n",
"* pandas.tseries.index.DatetimeIndex.data:\n",
"* pandas.tseries.index.DatetimeIndex.date:\n",
"* pandas.tseries.index.DatetimeIndex.day:\n",
"* pandas.tseries.index.DatetimeIndex.dayofweek:\n",
"* pandas.tseries.index.DatetimeIndex.dayofyear:\n",
"* pandas.tseries.index.DatetimeIndex.delete:\n",
"* pandas.tseries.index.DatetimeIndex.diagonal:\n",
"* pandas.tseries.index.DatetimeIndex.diff:\n",
"* pandas.tseries.index.DatetimeIndex.dot:\n",
"* pandas.tseries.index.DatetimeIndex.drop:\n",
"* pandas.tseries.index.DatetimeIndex.dtype:\n",
"* pandas.tseries.index.DatetimeIndex.dump:\n",
"* pandas.tseries.index.DatetimeIndex.dumps:\n",
"* pandas.tseries.index.DatetimeIndex.equals:\n",
"* pandas.tseries.index.DatetimeIndex.fill:\n",
"* pandas.tseries.index.DatetimeIndex.flags:\n",
"* pandas.tseries.index.DatetimeIndex.flat:\n",
"* pandas.tseries.index.DatetimeIndex.flatten:\n",
"* pandas.tseries.index.DatetimeIndex.format:\n",
"* pandas.tseries.index.DatetimeIndex.freq:\n",
"* pandas.tseries.index.DatetimeIndex.freqstr:\n",
"* pandas.tseries.index.DatetimeIndex.get_duplicates:\n",
"* pandas.tseries.index.DatetimeIndex.get_indexer:\n",
"* pandas.tseries.index.DatetimeIndex.get_indexer_non_unique:\n",
"* pandas.tseries.index.DatetimeIndex.get_level_values:\n",
"* pandas.tseries.index.DatetimeIndex.get_loc:\n",
"* pandas.tseries.index.DatetimeIndex.get_value:\n",
"* pandas.tseries.index.DatetimeIndex.get_value_maybe_box:\n",
"* pandas.tseries.index.DatetimeIndex.get_values:\n",
"* pandas.tseries.index.DatetimeIndex.getfield:\n",
"* pandas.tseries.index.DatetimeIndex.groupby:\n",
"* pandas.tseries.index.DatetimeIndex.holds_integer:\n",
"* pandas.tseries.index.DatetimeIndex.hour:\n",
"* pandas.tseries.index.DatetimeIndex.identical:\n",
"* pandas.tseries.index.DatetimeIndex.imag:\n",
"* pandas.tseries.index.DatetimeIndex.inferred_freq:\n",
"* pandas.tseries.index.DatetimeIndex.inferred_type:\n",
"* pandas.tseries.index.DatetimeIndex.insert:\n",
"* pandas.tseries.index.DatetimeIndex.intersection:\n",
"* pandas.tseries.index.DatetimeIndex.is_:\n",
"* pandas.tseries.index.DatetimeIndex.is_all_dates:\n",
"* pandas.tseries.index.DatetimeIndex.is_floating:\n",
"* pandas.tseries.index.DatetimeIndex.is_integer:\n",
"* pandas.tseries.index.DatetimeIndex.is_lexsorted_for_tuple:\n",
"* pandas.tseries.index.DatetimeIndex.is_mixed:\n",
"* pandas.tseries.index.DatetimeIndex.is_monotonic:\n",
"* pandas.tseries.index.DatetimeIndex.is_normalized:\n",
"* pandas.tseries.index.DatetimeIndex.is_numeric:\n",
"* pandas.tseries.index.DatetimeIndex.is_type_compatible:\n",
"* pandas.tseries.index.DatetimeIndex.is_unique:\n",
"* pandas.tseries.index.DatetimeIndex.isin:\n",
"* pandas.tseries.index.DatetimeIndex.item:\n",
"* pandas.tseries.index.DatetimeIndex.itemset:\n",
"* pandas.tseries.index.DatetimeIndex.itemsize:\n",
"* pandas.tseries.index.DatetimeIndex.join:\n",
"* pandas.tseries.index.DatetimeIndex.map:\n",
"* pandas.tseries.index.DatetimeIndex.max:\n",
"* pandas.tseries.index.DatetimeIndex.mean:\n",
"* pandas.tseries.index.DatetimeIndex.microsecond:\n",
"* pandas.tseries.index.DatetimeIndex.min:\n",
"* pandas.tseries.index.DatetimeIndex.minute:\n",
"* pandas.tseries.index.DatetimeIndex.month:\n",
"* pandas.tseries.index.DatetimeIndex.name:\n",
"* pandas.tseries.index.DatetimeIndex.names:\n",
"* pandas.tseries.index.DatetimeIndex.nanosecond:\n",
"* pandas.tseries.index.DatetimeIndex.nbytes:\n",
"* pandas.tseries.index.DatetimeIndex.ndim:\n",
"* pandas.tseries.index.DatetimeIndex.newbyteorder:\n",
"* pandas.tseries.index.DatetimeIndex.nlevels:\n",
"* pandas.tseries.index.DatetimeIndex.nonzero:\n",
"* pandas.tseries.index.DatetimeIndex.offset:\n",
"* pandas.tseries.index.DatetimeIndex.order:\n",
"* pandas.tseries.index.DatetimeIndex.partition:\n",
"* pandas.tseries.index.DatetimeIndex.prod:\n",
"* pandas.tseries.index.DatetimeIndex.ptp:\n",
"* pandas.tseries.index.DatetimeIndex.put:\n",
"* pandas.tseries.index.DatetimeIndex.quarter:\n",
"* pandas.tseries.index.DatetimeIndex.ravel:\n",
"* pandas.tseries.index.DatetimeIndex.real:\n",
"* pandas.tseries.index.DatetimeIndex.reindex:\n",
"* pandas.tseries.index.DatetimeIndex.rename:\n",
"* pandas.tseries.index.DatetimeIndex.repeat:\n",
"* pandas.tseries.index.DatetimeIndex.reshape:\n",
"* pandas.tseries.index.DatetimeIndex.resize:\n",
"* pandas.tseries.index.DatetimeIndex.resolution:\n",
"* pandas.tseries.index.DatetimeIndex.round:\n",
"* pandas.tseries.index.DatetimeIndex.searchsorted:\n",
"* pandas.tseries.index.DatetimeIndex.second:\n",
"* pandas.tseries.index.DatetimeIndex.set_names:\n",
"* pandas.tseries.index.DatetimeIndex.set_value:\n",
"* pandas.tseries.index.DatetimeIndex.setfield:\n",
"* pandas.tseries.index.DatetimeIndex.setflags:\n",
"* pandas.tseries.index.DatetimeIndex.shape:\n",
"* pandas.tseries.index.DatetimeIndex.shift:\n",
"* pandas.tseries.index.DatetimeIndex.size:\n",
"* pandas.tseries.index.DatetimeIndex.slice_indexer:\n",
"* pandas.tseries.index.DatetimeIndex.slice_locs:\n",
"* pandas.tseries.index.DatetimeIndex.sort:\n",
"* pandas.tseries.index.DatetimeIndex.squeeze:\n",
"* pandas.tseries.index.DatetimeIndex.std:\n",
"* pandas.tseries.index.DatetimeIndex.strides:\n",
"* pandas.tseries.index.DatetimeIndex.sum:\n",
"* pandas.tseries.index.DatetimeIndex.summary:\n",
"* pandas.tseries.index.DatetimeIndex.swapaxes:\n",
"* pandas.tseries.index.DatetimeIndex.take:\n",
"* pandas.tseries.index.DatetimeIndex.time:\n",
"* pandas.tseries.index.DatetimeIndex.to_native_types:\n",
"* pandas.tseries.index.DatetimeIndex.to_series:\n",
"* pandas.tseries.index.DatetimeIndex.tofile:\n",
"* pandas.tseries.index.DatetimeIndex.tolist:\n",
"* pandas.tseries.index.DatetimeIndex.tostring:\n",
"* pandas.tseries.index.DatetimeIndex.trace:\n",
"* pandas.tseries.index.DatetimeIndex.transpose:\n",
"* pandas.tseries.index.DatetimeIndex.tzinfo:\n",
"* pandas.tseries.index.DatetimeIndex.union:\n",
"* pandas.tseries.index.DatetimeIndex.union_many:\n",
"* pandas.tseries.index.DatetimeIndex.unique:\n",
"* pandas.tseries.index.DatetimeIndex.values:\n",
"* pandas.tseries.index.DatetimeIndex.var:\n",
"* pandas.tseries.index.DatetimeIndex.view:\n",
"* pandas.tseries.index.DatetimeIndex.week:\n",
"* pandas.tseries.index.DatetimeIndex.weekday:\n",
"* pandas.tseries.index.DatetimeIndex.weekofyear:\n",
"* pandas.tseries.index.DatetimeIndex.year:\n",
"* pandas.core.index.Index.T:\n",
"* pandas.core.index.Index.all:\n",
"* pandas.core.index.Index.any:\n",
"* pandas.core.index.Index.argmax:\n",
"* pandas.core.index.Index.argmin:\n",
"* pandas.core.index.Index.argpartition:\n",
"* pandas.core.index.Index.asi8:\n",
"* pandas.core.index.Index.asof:\n",
"* pandas.core.index.Index.asof_locs:\n",
"* pandas.core.index.Index.base:\n",
"* pandas.core.index.Index.byteswap:\n",
"* pandas.core.index.Index.choose:\n",
"* pandas.core.index.Index.clip:\n",
"* pandas.core.index.Index.compress:\n",
"* pandas.core.index.Index.conj:\n",
"* pandas.core.index.Index.conjugate:\n",
"* pandas.core.index.Index.ctypes:\n",
"* pandas.core.index.Index.cumprod:\n",
"* pandas.core.index.Index.cumsum:\n",
"* pandas.core.index.Index.data:\n",
"* pandas.core.index.Index.diagonal:\n",
"* pandas.core.index.Index.dot:\n",
"* pandas.core.index.Index.dtype:\n",
"* pandas.core.index.Index.dump:\n",
"* pandas.core.index.Index.dumps:\n",
"* pandas.core.index.Index.fill:\n",
"* pandas.core.index.Index.flags:\n",
"* pandas.core.index.Index.flat:\n",
"* pandas.core.index.Index.flatten:\n",
"* pandas.core.index.Index.format:\n",
"* pandas.core.index.Index.get_duplicates:\n",
"* pandas.core.index.Index.get_values:\n",
"* pandas.core.index.Index.getfield:\n",
"* pandas.core.index.Index.groupby:\n",
"* pandas.core.index.Index.holds_integer:\n",
"* pandas.core.index.Index.imag:\n",
"* pandas.core.index.Index.inferred_type:\n",
"* pandas.core.index.Index.is_:\n",
"* pandas.core.index.Index.is_all_dates:\n",
"* pandas.core.index.Index.is_floating:\n",
"* pandas.core.index.Index.is_integer:\n",
"* pandas.core.index.Index.is_lexsorted_for_tuple:\n",
"* pandas.core.index.Index.is_mixed:\n",
"* pandas.core.index.Index.is_type_compatible:\n",
"* pandas.core.index.Index.is_unique:\n",
"* pandas.core.index.Index.item:\n",
"* pandas.core.index.Index.itemset:\n",
"* pandas.core.index.Index.itemsize:\n",
"* pandas.core.index.Index.map:\n",
"* pandas.core.index.Index.max:\n",
"* pandas.core.index.Index.mean:\n",
"* pandas.core.index.Index.min:\n",
"* pandas.core.index.Index.name:\n",
"* pandas.core.index.Index.names:\n",
"* pandas.core.index.Index.nbytes:\n",
"* pandas.core.index.Index.ndim:\n",
"* pandas.core.index.Index.newbyteorder:\n",
"* pandas.core.index.Index.nlevels:\n",
"* pandas.core.index.Index.nonzero:\n",
"* pandas.core.index.Index.partition:\n",
"* pandas.core.index.Index.prod:\n",
"* pandas.core.index.Index.ptp:\n",
"* pandas.core.index.Index.put:\n",
"* pandas.core.index.Index.ravel:\n",
"* pandas.core.index.Index.real:\n",
"* pandas.core.index.Index.rename:\n",
"* pandas.core.index.Index.reshape:\n",
"* pandas.core.index.Index.resize:\n",
"* pandas.core.index.Index.round:\n",
"* pandas.core.index.Index.searchsorted:\n",
"* pandas.core.index.Index.set_value:\n",
"* pandas.core.index.Index.setfield:\n",
"* pandas.core.index.Index.setflags:\n",
"* pandas.core.index.Index.shape:\n",
"* pandas.core.index.Index.size:\n",
"* pandas.core.index.Index.squeeze:\n",
"* pandas.core.index.Index.std:\n",
"* pandas.core.index.Index.strides:\n",
"* pandas.core.index.Index.sum:\n",
"* pandas.core.index.Index.summary:\n",
"* pandas.core.index.Index.swapaxes:\n",
"* pandas.core.index.Index.take:\n",
"* pandas.core.index.Index.to_native_types:\n",
"* pandas.core.index.Index.tofile:\n",
"* pandas.core.index.Index.tostring:\n",
"* pandas.core.index.Index.trace:\n",
"* pandas.core.index.Index.transpose:\n",
"* pandas.core.index.Index.values:\n",
"* pandas.core.index.Index.var:\n",
"* pandas.core.index.Index.view:\n",
"* pandas.Panel.align:\n",
"* pandas.Panel.as_blocks:\n",
"* pandas.Panel.as_matrix:\n",
"* pandas.Panel.at:\n",
"* pandas.Panel.at_time:\n",
"* pandas.Panel.between_time:\n",
"* pandas.Panel.bfill:\n",
"* pandas.Panel.blocks:\n",
"* pandas.Panel.compound:\n",
"* pandas.Panel.consolidate:\n",
"* pandas.Panel.convert_objects:\n",
"* pandas.Panel.divide:\n",
"* pandas.Panel.empty:\n",
"* pandas.Panel.ffill:\n",
"* pandas.Panel.fromDict:\n",
"* pandas.Panel.get:\n",
"* pandas.Panel.get_dtype_counts:\n",
"* pandas.Panel.get_ftype_counts:\n",
"* pandas.Panel.get_values:\n",
"* pandas.Panel.iat:\n",
"* pandas.Panel.iloc:\n",
"* pandas.Panel.interpolate:\n",
"* pandas.Panel.items:\n",
"* pandas.Panel.iterkv:\n",
"* pandas.Panel.keys:\n",
"* pandas.Panel.kurt:\n",
"* pandas.Panel.kurtosis:\n",
"* pandas.Panel.load:\n",
"* pandas.Panel.loc:\n",
"* pandas.Panel.mad:\n",
"* pandas.Panel.major_axis:\n",
"* pandas.Panel.mask:\n",
"* pandas.Panel.minor_axis:\n",
"* pandas.Panel.multiply:\n",
"* pandas.Panel.product:\n",
"* pandas.Panel.rename_axis:\n",
"* pandas.Panel.replace:\n",
"* pandas.Panel.save:\n",
"* pandas.Panel.squeeze:\n",
"* pandas.Panel.subtract:\n",
"* pandas.Panel.toLong:\n",
"* pandas.Panel.to_dense:\n",
"* pandas.Panel.to_hdf:\n",
"* pandas.Panel.to_json:\n",
"* pandas.Panel.to_long:\n",
"* pandas.Panel.tshift:\n",
"* pandas.Panel.where:\n",
"* pandas.Series.T:\n",
"* pandas.Series.add_prefix:\n",
"* pandas.Series.add_suffix:\n",
"* pandas.Series.all:\n",
"* pandas.Series.argmax:\n",
"* pandas.Series.argmin:\n",
"* pandas.Series.as_blocks:\n",
"* pandas.Series.as_matrix:\n",
"* pandas.Series.at_time:\n",
"* pandas.Series.axes:\n",
"* pandas.Series.base:\n",
"* pandas.Series.between_time:\n",
"* pandas.Series.bfill:\n",
"* pandas.Series.blocks:\n",
"* pandas.Series.compound:\n",
"* pandas.Series.consolidate:\n",
"* pandas.Series.convert_objects:\n",
"* pandas.Series.data:\n",
"* pandas.Series.divide:\n",
"* pandas.Series.dot:\n",
"* pandas.Series.drop_duplicates:\n",
"* pandas.Series.duplicated:\n",
"* pandas.Series.empty:\n",
"* pandas.Series.ffill:\n",
"* pandas.Series.filter:\n",
"* pandas.Series.flags:\n",
"* pandas.Series.from_array:\n",
"* pandas.Series.ftype:\n",
"* pandas.Series.get_dtype_counts:\n",
"* pandas.Series.get_ftype_counts:\n",
"* pandas.Series.get_value:\n",
"* pandas.Series.get_values:\n",
"* pandas.Series.iget:\n",
"* pandas.Series.iget_value:\n",
"* pandas.Series.imag:\n",
"* pandas.Series.index:\n",
"* pandas.Series.irow:\n",
"* pandas.Series.is_time_series:\n",
"* pandas.Series.item:\n",
"* pandas.Series.iterkv:\n",
"* pandas.Series.keys:\n",
"* pandas.Series.kurtosis:\n",
"* pandas.Series.load:\n",
"* pandas.Series.mask:\n",
"* pandas.Series.multiply:\n",
"* pandas.Series.ndim:\n",
"* pandas.Series.nonzero:\n",
"* pandas.Series.pop:\n",
"* pandas.Series.product:\n",
"* pandas.Series.ptp:\n",
"* pandas.Series.put:\n",
"* pandas.Series.ravel:\n",
"* pandas.Series.real:\n",
"* pandas.Series.reindex_axis:\n",
"* pandas.Series.rename_axis:\n",
"* pandas.Series.repeat:\n",
"* pandas.Series.reshape:\n",
"* pandas.Series.save:\n",
"* pandas.Series.set_value:\n",
"* pandas.Series.shape:\n",
"* pandas.Series.size:\n",
"* pandas.Series.squeeze:\n",
"* pandas.Series.str:\n",
"* pandas.Series.strides:\n",
"* pandas.Series.subtract:\n",
"* pandas.Series.swapaxes:\n",
"* pandas.Series.to_dense:\n",
"* pandas.Series.to_hdf:\n",
"* pandas.Series.to_json:\n",
"* pandas.Series.to_period:\n",
"* pandas.Series.to_timestamp:\n",
"* pandas.Series.tolist:\n",
"* pandas.Series.transpose:\n",
"* pandas.Series.tshift:\n",
"* pandas.Series.valid:\n",
"* pandas.Series.view:\n",
"* pandas.Series.where:\n",
"* pandas.Series.xs:\n",
"* pandas.ExcelFile.close:\n",
"* pandas.ExcelFile.sheet_names:\n",
"* pandas.Categorical:\n",
"* pandas.DataFrame:\n",
"* pandas.DateOffset:\n",
"* pandas.DateRange:\n",
"* pandas.DatetimeIndex:\n",
"* pandas.ExcelFile:\n",
"* pandas.ExcelWriter:\n",
"* pandas.Expr:\n",
"* pandas.Float64Index:\n",
"* pandas.HDFStore:\n",
"* pandas.Index:\n",
"* pandas.Int64Index:\n",
"* pandas.LooseVersion:\n",
"* pandas.MultiIndex:\n",
"* pandas.NaT:\n",
"* pandas.Panel:\n",
"* pandas.Panel4D:\n",
"* pandas.Period:\n",
"* pandas.PeriodIndex:\n",
"* pandas.Series:\n",
"* pandas.SparseArray:\n",
"* pandas.SparseDataFrame:\n",
"* pandas.SparseList:\n",
"* pandas.SparsePanel:\n",
"* pandas.SparseSeries:\n",
"* pandas.SparseTimeSeries:\n",
"* pandas.Term:\n",
"* pandas.TimeGrouper:\n",
"* pandas.TimeSeries:\n",
"* pandas.Timestamp:\n",
"* pandas.WidePanel:\n",
"* pandas.algos:\n",
"* pandas.bdate_range:\n",
"* pandas.compat:\n",
"* pandas.computation:\n",
"* pandas.core:\n",
"* pandas.crosstab:\n",
"* pandas.cut:\n",
"* pandas.date_range:\n",
"* pandas.datetime:\n",
"* pandas.datetools:\n",
"* pandas.debug:\n",
"* pandas.describe_option:\n",
"* pandas.ewmvol:\n",
"* pandas.expanding_corr_pairwise:\n",
"* pandas.expanding_max:\n",
"* pandas.expanding_min:\n",
"* pandas.factorize:\n",
"* pandas.fama_macbeth:\n",
"* pandas.get_option:\n",
"* pandas.get_store:\n",
"* pandas.groupby:\n",
"* pandas.hashtable:\n",
"* pandas.index:\n",
"* pandas.infer_freq:\n",
"* pandas.info:\n",
"* pandas.io:\n",
"* pandas.json:\n",
"* pandas.lib:\n",
"* pandas.load:\n",
"* pandas.lreshape:\n",
"* pandas.match:\n",
"* pandas.melt:\n",
"* pandas.np:\n",
"* pandas.offsets:\n",
"* pandas.ols:\n",
"* pandas.options:\n",
"* pandas.ordered_merge:\n",
"* pandas.pandas:\n",
"* pandas.parser:\n",
"* pandas.period_range:\n",
"* pandas.pivot:\n",
"* pandas.plot_params:\n",
"* pandas.pnow:\n",
"* pandas.qcut:\n",
"* pandas.reset_option:\n",
"* pandas.rolling_corr_pairwise:\n",
"* pandas.rolling_max:\n",
"* pandas.rolling_min:\n",
"* pandas.rolling_window:\n",
"* pandas.save:\n",
"* pandas.scatter_matrix:\n",
"* pandas.set_eng_float_format:\n",
"* pandas.set_option:\n",
"* pandas.sparse:\n",
"* pandas.stats:\n",
"* pandas.to_pickle:\n",
"* pandas.tools:\n",
"* pandas.tseries:\n",
"* pandas.tslib:\n",
"* pandas.unique:\n",
"* pandas.util:\n",
"* pandas.value_counts:\n",
"* pandas.value_range:\n",
"* pandas.version:\n"
]
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"documented"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
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" 'pandas.read_table',\n",
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" 'pandas.DataFrame.sort',\n",
" 'pandas.DataFrame.sort_index',\n",
" 'pandas.DataFrame.sortlevel',\n",
" 'pandas.DataFrame.swaplevel',\n",
" 'pandas.DataFrame.stack',\n",
" 'pandas.DataFrame.unstack',\n",
" 'pandas.DataFrame.T',\n",
" 'pandas.DataFrame.to_panel',\n",
" 'pandas.DataFrame.transpose',\n",
" 'pandas.DataFrame.append',\n",
" 'pandas.DataFrame.join',\n",
" 'pandas.DataFrame.merge',\n",
" 'pandas.DataFrame.update',\n",
" 'pandas.DataFrame.asfreq',\n",
" 'pandas.DataFrame.shift',\n",
" 'pandas.DataFrame.first_valid_index',\n",
" 'pandas.DataFrame.last_valid_index',\n",
" 'pandas.DataFrame.resample',\n",
" 'pandas.DataFrame.to_period',\n",
" 'pandas.DataFrame.to_timestamp',\n",
" 'pandas.DataFrame.tz_convert',\n",
" 'pandas.DataFrame.tz_localize',\n",
" 'pandas.DataFrame.boxplot',\n",
" 'pandas.DataFrame.hist',\n",
" 'pandas.DataFrame.plot',\n",
" 'pandas.DataFrame.from_csv',\n",
" 'pandas.DataFrame.from_dict',\n",
" 'pandas.DataFrame.from_items',\n",
" 'pandas.DataFrame.from_records',\n",
" 'pandas.DataFrame.info',\n",
" 'pandas.DataFrame.to_pickle',\n",
" 'pandas.DataFrame.to_csv',\n",
" 'pandas.DataFrame.to_hdf',\n",
" 'pandas.DataFrame.to_dict',\n",
" 'pandas.DataFrame.to_excel',\n",
" 'pandas.DataFrame.to_json',\n",
" 'pandas.DataFrame.to_html',\n",
" 'pandas.DataFrame.to_stata',\n",
" 'pandas.DataFrame.to_records',\n",
" 'pandas.DataFrame.to_sparse',\n",
" 'pandas.DataFrame.to_string',\n",
" 'pandas.DataFrame.to_clipboard',\n",
" 'pandas.Panel.values',\n",
" 'pandas.Panel.axes',\n",
" 'pandas.Panel.ndim',\n",
" 'pandas.Panel.shape',\n",
" 'pandas.Panel.__init__',\n",
" 'pandas.Panel.astype',\n",
" 'pandas.Panel.copy',\n",
" 'pandas.Panel.get_value',\n",
" 'pandas.Panel.set_value',\n",
" 'pandas.Panel.ix',\n",
" 'pandas.Panel.__iter__',\n",
" 'pandas.Panel.iteritems',\n",
" 'pandas.Panel.pop',\n",
" 'pandas.Panel.xs',\n",
" 'pandas.Panel.major_xs',\n",
" 'pandas.Panel.minor_xs',\n",
" 'pandas.Panel.add',\n",
" 'pandas.Panel.sub',\n",
" 'pandas.Panel.mul',\n",
" 'pandas.Panel.div',\n",
" 'pandas.Panel.truediv',\n",
" 'pandas.Panel.floordiv',\n",
" 'pandas.Panel.mod',\n",
" 'pandas.Panel.pow',\n",
" 'pandas.Panel.radd',\n",
" 'pandas.Panel.rsub',\n",
" 'pandas.Panel.rmul',\n",
" 'pandas.Panel.rdiv',\n",
" 'pandas.Panel.rtruediv',\n",
" 'pandas.Panel.rfloordiv',\n",
" 'pandas.Panel.rmod',\n",
" 'pandas.Panel.rpow',\n",
" 'pandas.Panel.lt',\n",
" 'pandas.Panel.gt',\n",
" 'pandas.Panel.le',\n",
" 'pandas.Panel.ge',\n",
" 'pandas.Panel.ne',\n",
" 'pandas.Panel.eq',\n",
" 'pandas.Panel.apply',\n",
" 'pandas.Panel.groupby',\n",
" 'pandas.Panel.abs',\n",
" 'pandas.Panel.clip',\n",
" 'pandas.Panel.clip_lower',\n",
" 'pandas.Panel.clip_upper',\n",
" 'pandas.Panel.count',\n",
" 'pandas.Panel.cummax',\n",
" 'pandas.Panel.cummin',\n",
" 'pandas.Panel.cumprod',\n",
" 'pandas.Panel.cumsum',\n",
" 'pandas.Panel.max',\n",
" 'pandas.Panel.mean',\n",
" 'pandas.Panel.median',\n",
" 'pandas.Panel.min',\n",
" 'pandas.Panel.pct_change',\n",
" 'pandas.Panel.prod',\n",
" 'pandas.Panel.skew',\n",
" 'pandas.Panel.sum',\n",
" 'pandas.Panel.std',\n",
" 'pandas.Panel.var',\n",
" 'pandas.Panel.add_prefix',\n",
" 'pandas.Panel.add_suffix',\n",
" 'pandas.Panel.drop',\n",
" 'pandas.Panel.filter',\n",
" 'pandas.Panel.first',\n",
" 'pandas.Panel.last',\n",
" 'pandas.Panel.reindex',\n",
" 'pandas.Panel.reindex_axis',\n",
" 'pandas.Panel.reindex_like',\n",
" 'pandas.Panel.rename',\n",
" 'pandas.Panel.select',\n",
" 'pandas.Panel.take',\n",
" 'pandas.Panel.truncate',\n",
" 'pandas.Panel.dropna',\n",
" 'pandas.Panel.fillna',\n",
" 'pandas.Panel.sort_index',\n",
" 'pandas.Panel.swaplevel',\n",
" 'pandas.Panel.transpose',\n",
" 'pandas.Panel.swapaxes',\n",
" 'pandas.Panel.conform',\n",
" 'pandas.Panel.join',\n",
" 'pandas.Panel.update',\n",
" 'pandas.Panel.asfreq',\n",
" 'pandas.Panel.shift',\n",
" 'pandas.Panel.resample',\n",
" 'pandas.Panel.tz_convert',\n",
" 'pandas.Panel.tz_localize',\n",
" 'pandas.Panel.from_dict',\n",
" 'pandas.Panel.to_pickle',\n",
" 'pandas.Panel.to_excel',\n",
" 'pandas.Panel.to_sparse',\n",
" 'pandas.Panel.to_frame',\n",
" 'pandas.Panel.to_clipboard',\n",
" 'pandas.core.index.Index.copy',\n",
" 'pandas.core.index.Index.delete',\n",
" 'pandas.core.index.Index.diff',\n",
" 'pandas.core.index.Index.drop',\n",
" 'pandas.core.index.Index.equals',\n",
" 'pandas.core.index.Index.identical',\n",
" 'pandas.core.index.Index.insert',\n",
" 'pandas.core.index.Index.order',\n",
" 'pandas.core.index.Index.reindex',\n",
" 'pandas.core.index.Index.repeat',\n",
" 'pandas.core.index.Index.set_names',\n",
" 'pandas.core.index.Index.unique',\n",
" 'pandas.core.index.Index.astype',\n",
" 'pandas.core.index.Index.tolist',\n",
" 'pandas.core.index.Index.to_datetime',\n",
" 'pandas.core.index.Index.to_series',\n",
" 'pandas.core.index.Index.argsort',\n",
" 'pandas.core.index.Index.order',\n",
" 'pandas.core.index.Index.sort',\n",
" 'pandas.core.index.Index.shift',\n",
" 'pandas.core.index.Index.append',\n",
" 'pandas.core.index.Index.intersection',\n",
" 'pandas.core.index.Index.join',\n",
" 'pandas.core.index.Index.union',\n",
" 'pandas.core.index.Index.get_indexer',\n",
" 'pandas.core.index.Index.get_indexer_non_unique',\n",
" 'pandas.core.index.Index.get_level_values',\n",
" 'pandas.core.index.Index.get_loc',\n",
" 'pandas.core.index.Index.get_value',\n",
" 'pandas.core.index.Index.isin',\n",
" 'pandas.core.index.Index.slice_indexer',\n",
" 'pandas.core.index.Index.slice_locs',\n",
" 'pandas.core.index.Index.is_monotonic',\n",
" 'pandas.core.index.Index.is_numeric',\n",
" 'pandas.tseries.index.DatetimeIndex.indexer_at_time',\n",
" 'pandas.tseries.index.DatetimeIndex.indexer_between_time',\n",
" 'pandas.tseries.index.DatetimeIndex.normalize',\n",
" 'pandas.tseries.index.DatetimeIndex.snap',\n",
" 'pandas.tseries.index.DatetimeIndex.tz_convert',\n",
" 'pandas.tseries.index.DatetimeIndex.tz_localize',\n",
" 'pandas.tseries.index.DatetimeIndex.to_datetime',\n",
" 'pandas.tseries.index.DatetimeIndex.to_period',\n",
" 'pandas.tseries.index.DatetimeIndex.to_pydatetime']"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print len(overdocumented)\n",
"overdocumented"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"text": [
"['pandas.read_frame',\n",
" 'pandas.write_frame',\n",
" 'pandas.StataReader.data',\n",
" 'pandas.StataReader.data_label',\n",
" 'pandas.StataReader.value_labels',\n",
" 'pandas.StataReader.variable_labels',\n",
" 'pandas.StataWriter.write_file',\n",
" 'pandas.Series.__init__',\n",
" 'pandas.Series.__iter__',\n",
" 'pandas.core.strings.StringMethods.cat',\n",
" 'pandas.core.strings.StringMethods.center',\n",
" 'pandas.core.strings.StringMethods.contains',\n",
" 'pandas.core.strings.StringMethods.count',\n",
" 'pandas.core.strings.StringMethods.decode',\n",
" 'pandas.core.strings.StringMethods.encode',\n",
" 'pandas.core.strings.StringMethods.endswith',\n",
" 'pandas.core.strings.StringMethods.extract',\n",
" 'pandas.core.strings.StringMethods.findall',\n",
" 'pandas.core.strings.StringMethods.get',\n",
" 'pandas.core.strings.StringMethods.join',\n",
" 'pandas.core.strings.StringMethods.len',\n",
" 'pandas.core.strings.StringMethods.lower',\n",
" 'pandas.core.strings.StringMethods.lstrip',\n",
" 'pandas.core.strings.StringMethods.match',\n",
" 'pandas.core.strings.StringMethods.pad',\n",
" 'pandas.core.strings.StringMethods.repeat',\n",
" 'pandas.core.strings.StringMethods.replace',\n",
" 'pandas.core.strings.StringMethods.rstrip',\n",
" 'pandas.core.strings.StringMethods.slice',\n",
" 'pandas.core.strings.StringMethods.slice_replace',\n",
" 'pandas.core.strings.StringMethods.split',\n",
" 'pandas.core.strings.StringMethods.startswith',\n",
" 'pandas.core.strings.StringMethods.strip',\n",
" 'pandas.core.strings.StringMethods.title',\n",
" 'pandas.core.strings.StringMethods.upper',\n",
" 'pandas.DataFrame.__init__',\n",
" 'pandas.DataFrame.__iter__',\n",
" 'pandas.Panel.__init__',\n",
" 'pandas.Panel.__iter__']"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# codegeneration...\n",
"for x in modul_or_classes:\n",
" print \"methods.extend([\\\"%s.\\\"+x for x in dir(%s)])\" % (x,x)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"methods.extend([\"pandas.StataWriter.\"+x for x in dir(pandas.StataWriter)])\n",
"methods.extend([\"pandas.DataFrame.\"+x for x in dir(pandas.DataFrame)])\n",
"methods.extend([\"pandas.HDFStore.\"+x for x in dir(pandas.HDFStore)])\n",
"methods.extend([\"pandas.tseries.index.DatetimeIndex.\"+x for x in dir(pandas.tseries.index.DatetimeIndex)])\n",
"methods.extend([\"pandas.core.index.Index.\"+x for x in dir(pandas.core.index.Index)])\n",
"methods.extend([\"pandas.Panel.\"+x for x in dir(pandas.Panel)])\n",
"methods.extend([\"pandas.Series.\"+x for x in dir(pandas.Series)])\n",
"methods.extend([\"pandas.core.strings.StringMethods.\"+x for x in dir(pandas.core.strings.StringMethods)])\n",
"methods.extend([\"pandas.ExcelFile.\"+x for x in dir(pandas.ExcelFile)])\n",
"methods.extend([\"pandas.\"+x for x in dir(pandas)])\n",
"methods.extend([\"pandas.StataReader.\"+x for x in dir(pandas.StataReader)])\n"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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