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| from __future__ import absolute_import, print_function | |
| import os | |
| import shlex | |
| from pystata import config as _config | |
| from pystata.stexception import IPythonError, IPyKernelError | |
| try: | |
| from IPython.core.magic import (Magics, magics_class, line_cell_magic, needs_local_scope, line_magic) | |
| from pystata.ipython.ipy_utils import get_ipython_stata_cache_dir | |
| except ImportError: | |
| _config.stipython = 1 | |
| raise IPythonError('failed to import IPython package') | |
| from pystata import stata as _stata | |
| if not _stata.has_num_pand['pknum']: | |
| _config.stipython = 3 | |
| elif not _stata.has_num_pand['pkpand']: | |
| _config.stipython = 4 | |
| if _stata.has_num_pand['pknum']: | |
| import numpy as np | |
| if _stata.has_num_pand['pkpand']: | |
| import pandas as pd | |
| from pystata.core import numpy2mata as _mata | |
| from IPython import get_ipython | |
| def _parse_arguments(inopts, allowopts, magicname): | |
| res = {} | |
| errmsg = 'Type ' + magicname + ' to get more information.' | |
| opts = shlex.split(inopts, posix=False) | |
| olen = len(opts) | |
| if olen==0: | |
| return res | |
| i = 0 | |
| while i < olen: | |
| if opts[i][0]=='-' and ':' in opts[i]: | |
| raise SyntaxError('option ' + opts[i] + ' not allowed. ' + errmsg) | |
| if i==(olen-1): | |
| if opts[i] in allowopts: | |
| res[opts[i]] = '' | |
| i += 1 | |
| else: | |
| tmp = opts[i] + ':' | |
| if tmp in allowopts: | |
| raise SyntaxError('A value is required for option ' + opts[i] + '. ' + errmsg) | |
| else: | |
| raise SyntaxError('option ' + opts[i] + ' not allowed. ' + errmsg) | |
| else: | |
| if opts[i] in allowopts: | |
| if opts[i+1][0] != '-': | |
| raise SyntaxError('option ' + opts[i] + ' misspecified. ' + errmsg) | |
| else: | |
| res[opts[i]] = '' | |
| i += 1 | |
| else: | |
| tmp = opts[i] + ':' | |
| if tmp in allowopts: | |
| if opts[i+1][0] == '-': | |
| raise SyntaxError('option ' + opts[i] + ' misspecified. ' + errmsg) | |
| else: | |
| res[opts[i]] = opts[i+1] | |
| i += 2 | |
| else: | |
| raise SyntaxError('option ' + opts[i] + ' not allowed. ' + errmsg) | |
| return res | |
| def _get_input_type(o): | |
| if _stata.has_num_pand['pknum']: | |
| if isinstance(o, np.ndarray): | |
| return 1 | |
| if _stata.has_num_pand['pkpand']: | |
| if isinstance(o, pd.DataFrame): | |
| return 2 | |
| return 0 | |
| class PyStataMagic(Magics): | |
| def __init__(self, shell): | |
| super(PyStataMagic, self).__init__(shell) | |
| self._lib_dir = os.path.join(get_ipython_stata_cache_dir(), 'stata') | |
| if not os.path.exists(self._lib_dir): | |
| os.makedirs(self._lib_dir) | |
| def stata(self, line, cell=None, local_ns=None): | |
| ''' | |
| Execute one line or a block of Stata commands. | |
| When the line magic command **%stata** is used, a one-line Stata | |
| command can be specified and executed, as it would be in Stata's | |
| Command window. When the cell magic command **%%stata** is used, a | |
| block of Stata commands can be specified and executed all at once. | |
| This is similar to executing a series of commands from a do-file. | |
| Cell magic syntax: | |
| %%stata [-d DATA] [-f DFLIST|ARRLIST] [-force] | |
| [-doutd DATAFRAME] [-douta ARRAY] [-foutd FRAMELIST] [-fouta FRAMELIST] | |
| [-ret DICTIONARY] [-eret DICTIONARY] [-sret DICTIONARY] [-qui] [-nogr] | |
| [-gw WIDTH] [-gh HEIGHT] | |
| Optional arguments: | |
| -d DATA Load a NumPy array or pandas dataframe | |
| into Stata as the current working dataset. | |
| -f DFLIST|ARRLIST Load one or multiple NumPy arrays or | |
| pandas dataframes into Stata as frames. | |
| The arrays and dataframes should be | |
| separated by commas. Each array or | |
| dataframe is stored in Stata as a separate | |
| frame with the same name. | |
| -force Force loading of the NumPy array or pandas | |
| dataframe into Stata as the current working | |
| dataset, even if the dataset in memory has | |
| changed since it was last saved; or force | |
| loading of the NumPy arrays or pandas dataframes | |
| into Stata as separate frames even if one or | |
| more of the frames already exist in Stata. | |
| -doutd DATAFRAME Save the dataset in memory as a pandas | |
| dataframe when the cell completes. | |
| -douta ARRAY Save the dataset in memory as a NumPy | |
| array when the cell completes. | |
| -foutd FRAMELIST Save one or multiple Stata frames as pandas | |
| dataframes when the cell completes. The Stata | |
| frames should be separated by commas. Each | |
| frame is stored in Python as a pandas | |
| dataframe. The variable names in each frame | |
| will be used as the column names in the | |
| corresponding dataframe. | |
| -fouta FRAMELIST Save one or multiple Stata frames as NumPy | |
| arrays when the cell completes. The Stata frames | |
| should be separated by commas. Each frame is | |
| stored in Python as a NumPy array. | |
| -ret DICTIONARY Store current r() results into a dictionary. | |
| -eret DICTIONARY Store current e() results into a dictionary. | |
| -sret DICTIONARY Store current s() results into a dictionary. | |
| -qui Run Stata commands but suppress output. | |
| -nogr Do not display Stata graphics. | |
| -gw WIDTH Set graph width in inches, pixels, or centimeters; | |
| default is inches. | |
| -gh HEIGHT Set graph height in inches, pixels, or centimeters; | |
| default is inches. | |
| Line magic syntax: | |
| %stata stata_cmd | |
| ''' | |
| if cell is None: | |
| if not line: | |
| raise SyntaxError("Stata command required") | |
| _stata.run(line) | |
| return | |
| allowopts = ['-d:', '-f:', '-force', '-doutd:', '-douta:', '-foutd:', '-fouta:', '-ret:', '-eret:', '-sret:', '-qui', '-nogr', '-gw:', '-gh:'] | |
| args = _parse_arguments(line, allowopts, '%%stata?') | |
| if local_ns is None: | |
| local_ns = {} | |
| force_to_load = False | |
| if '-force' in args: | |
| force_to_load = True | |
| if '-d' in args: | |
| if not _stata.has_num_pand['pknum'] and not _stata.has_num_pand['pkpand']: | |
| raise SystemError('NumPy package or pandas package is required to use this argument.') | |
| data = args['-d'] | |
| try: | |
| val = local_ns[data] | |
| except KeyError: | |
| try: | |
| val = self.shell.user_ns[data] | |
| except KeyError: | |
| raise NameError("name '%s' is not defined" % data) | |
| input_dtype = _get_input_type(val) | |
| if input_dtype > 0: | |
| try: | |
| if input_dtype==2: | |
| _stata.pdataframe_to_data(val, force=force_to_load) | |
| else: | |
| _stata.nparray_to_data(val, force=force_to_load) | |
| except SystemError: | |
| raise | |
| except: | |
| raise SystemError("Exception occurred. Data could not be loaded.") | |
| else: | |
| raise TypeError("A pandas dataframe or NumPy array is required.") | |
| if '-f' in args: | |
| if not _stata.has_num_pand['pknum'] and not _stata.has_num_pand['pkpand']: | |
| raise SystemError('NumPy package or pandas package is required to use this argument.') | |
| frames = args['-f'].replace("'", '').replace('"', '').split(',') | |
| for fr in frames: | |
| try: | |
| frval = local_ns[fr] | |
| except KeyError: | |
| try: | |
| frval = self.shell.user_ns[fr] | |
| except KeyError: | |
| raise NameError("name '%s' is not defined" % fr) | |
| input_ftype = _get_input_type(frval) | |
| if input_ftype==0: | |
| raise TypeError("%s is not a pandas dataframe or NumPy array. Only dataframe or array is allowed." % fr) | |
| for fr in frames: | |
| try: | |
| frval = local_ns[fr] | |
| except KeyError: | |
| frval = self.shell.user_ns[fr] | |
| input_ftype = _get_input_type(frval) | |
| try: | |
| if input_ftype==2: | |
| _stata.pdataframe_to_frame(frval, fr, force=force_to_load) | |
| else: | |
| _stata.nparray_to_frame(frval, fr, force=force_to_load) | |
| except SystemError: | |
| raise | |
| except: | |
| raise SystemError("Exception occurred. %s could not be loaded." % fr) | |
| if '-gw' in args or '-gh' in args: | |
| gwidth = _config.get_graph_size_str('gw') | |
| gheight = _config.get_graph_size_str('gh') | |
| if '-gw' in args and '-gh' in args: | |
| _config.set_graph_size(args['-gw'], args['-gh']) | |
| elif '-gw' in args: | |
| _config.set_graph_size(args['-gw'], None) | |
| else: | |
| _config.set_graph_size(None, args['-gh']) | |
| if '-nogr' in args: | |
| grshow = _config.stconfig['grshow'] | |
| _config.set_graph_show(False) | |
| if '-qui' in args: | |
| _stata.run(cell, quietly=True, inline=_config.stconfig['grshow']) | |
| else: | |
| _stata.run(cell, quietly=False, inline=_config.stconfig['grshow']) | |
| if '-gw' in args or '-gh' in args: | |
| _config.set_graph_size(gwidth, gheight) | |
| if '-nogr' in args: | |
| _config.set_graph_show(grshow) | |
| if '-ret' in args or '-eret' in args or '-sret' in args: | |
| if '-ret' in args: | |
| val = _stata.get_return() | |
| self.shell.push({args['-ret']: val }) | |
| if '-eret' in args: | |
| val = _stata.get_ereturn() | |
| self.shell.push({args['-eret']: val }) | |
| if '-sret' in args: | |
| val = _stata.get_sreturn() | |
| self.shell.push({args['-sret']: val }) | |
| if '-doutd' in args: | |
| if not _stata.has_num_pand['pkpand']: | |
| raise SystemError('pandas package is required to use this argument.') | |
| try: | |
| output_df = _stata.pdataframe_from_data() | |
| self.shell.push({args['-doutd']: output_df }) | |
| except: | |
| print("Exception occurred. Data could not be written to the dataframe.") | |
| if '-douta' in args: | |
| if not _stata.has_num_pand['pknum']: | |
| raise SystemError('NumPy package is required to use this argument.') | |
| try: | |
| output_arr = _stata.nparray_from_data() | |
| self.shell.push({args['-douta']: output_arr }) | |
| except: | |
| print("Exception occurred. Data could not be written to the array.") | |
| if '-foutd' in args: | |
| if not _stata.has_num_pand['pkpand']: | |
| raise SystemError('pandas package is required to use this argument.') | |
| frames = args['-foutd'].replace("'", '').replace('"', '').split(',') | |
| output_dfs = {} | |
| for fr in frames: | |
| try: | |
| output_df = _stata.pdataframe_from_frame(fr) | |
| output_dfs[fr] = output_df | |
| except: | |
| raise SystemError("Exception occurred. Stata's frame %s could not be saved to a pandas dataframe." % fr) | |
| self.shell.push(output_dfs) | |
| if '-fouta' in args: | |
| if not _stata.has_num_pand['pknum']: | |
| raise SystemError('NumPy package is required to use this argument.') | |
| frames = args['-fouta'].replace("'", '').replace('"', '').split(',') | |
| output_arrs = {} | |
| for fr in frames: | |
| try: | |
| output_arr = _stata.nparray_from_frame(fr) | |
| output_arrs[fr] = output_arr | |
| except: | |
| raise SystemError("Exception occurred. Stata's frame %s could not be saved to a NumPy array." % fr) | |
| self.shell.push(output_arrs) | |
| def mata(self, line, cell=None, local_ns=None): | |
| ''' | |
| Execute one line or a block of Mata code. | |
| When the **%mata** line magic command is used, one line of Mata code | |
| can be specified and executed. This is similar to specifying | |
| **mata: istmt** within Stata. When the **%%mata** cell magic command is | |
| used, a block of Mata code can be specified. The code is executed just | |
| as it would be in a do-file. | |
| Cell magic syntax: | |
| %%mata [-m ARRAYLIST] [-outm MATLIST] [-qui] [-c] | |
| Execute a block of Mata code. This is equivalent to running a | |
| block of Mata code within a do-file. You do not need to | |
| explicitly place the code within the mata[:] and end block. | |
| Optional arguments: | |
| -m ARRAYLIST Load multiple NumPy arrays into Mata's | |
| interactive environment. The array names | |
| should be separated by commas. Each array is | |
| stored in Mata as a matrix with the same name. | |
| -outm MATLIST Save Mata matrices as NumPy arrays when the | |
| cell completes. The matrix names should be | |
| separated by commas. Each matrix is stored | |
| in Python as a NumPy array. | |
| -qui Run Mata code but suppress output. | |
| -c This argument specifies that Mata code be | |
| executed in mata: mode. This means that | |
| if Mata encounters an error, it will stop | |
| execution and return control to Python. The | |
| error will then be thrown as a Python SystemError | |
| exception. | |
| Line magic syntax: | |
| %mata [-c] | |
| Enter Mata's interactive environment. This is equivalent to | |
| typing mata or mata: in the Stata Command window. | |
| Optional argument: | |
| -c Enter interactive Mata environment in mata: | |
| mode. The default is to enter in mata mode. | |
| %mata istmt | |
| Run a single-line Mata statement. This is equivalent to executing | |
| mata: istmt within Stata. | |
| ''' | |
| if cell is None: | |
| if not line: | |
| stcmd = "mata" | |
| elif line=='-c': | |
| stcmd = 'mata:' | |
| else: | |
| stcmd = "mata: " + line | |
| _stata.run(stcmd, inline=False) | |
| else: | |
| allowopts = ['-qui', '-c', '-m:', '-outm:'] | |
| args = _parse_arguments(line, allowopts, '%%mata?') | |
| if local_ns is None: | |
| local_ns = {} | |
| if '-m' in args: | |
| if not _stata.has_num_pand['pknum']: | |
| raise SystemError('NumPy package is required to use this argument.') | |
| mats = args['-m'].replace("'", '').replace('"', '').split(',') | |
| for m in mats: | |
| try: | |
| mval = local_ns[m] | |
| except KeyError: | |
| try: | |
| mval = self.shell.user_ns[m] | |
| except KeyError: | |
| raise NameError("name '%s' is not defined" % m) | |
| for m in mats: | |
| try: | |
| mval = local_ns[m] | |
| except KeyError: | |
| mval = self.shell.user_ns[m] | |
| try: | |
| _mata.array_to_mata(mval, m) | |
| except: | |
| print("Exception occurred. Array %s could not be loaded." % m) | |
| if cell[-1:] != '\n': | |
| cell = cell + '\n' | |
| if '-c' in args: | |
| cell = "mata:\n" + cell + "end" | |
| else: | |
| cell = "mata\n" + cell + "end" | |
| if '-qui' in args: | |
| _stata.run(cell, quietly=True, inline=False) | |
| else: | |
| _stata.run(cell, inline=False) | |
| if '-outm' in args: | |
| if not _stata.has_num_pand['pknum']: | |
| raise SystemError('NumPy package is required to use this argument.') | |
| mats = args['-outm'].replace("'", '').replace('"', '').split(',') | |
| output_arrs = {} | |
| for m in mats: | |
| try: | |
| output_arr = _mata.array_from_mata(m) | |
| output_arrs[m] = output_arr | |
| except: | |
| print("Exception occurred. Mata matrix %s could not be written to a NumPy array." % m) | |
| self.shell.push(output_arrs) | |
| def pystata(self, line): | |
| ''' | |
| Stata utility commands. | |
| Line magic syntax: | |
| %pystata status | |
| Display current system information and settings. | |
| %pystata set graph_show True|False [, perm] | |
| Set whether Stata graphics are displayed. The default is to | |
| display the graphics. Note that if multiple graphs are | |
| generated, only the last one is displayed. To display multiple | |
| graphs, use the name() option with Stata's graph commands. | |
| %pystata set graph_size w #[in|px|cm] [, perm] | |
| %pystata set graph_size h #[in|px|cm] [, perm] | |
| %pystata set graph_size w #[in|px|cm] h #[in|px|cm] [, perm] | |
| Set dimensions for Stata graphs. The default is a 5.5-inch width | |
| and 4-inch height. Values may be specified in inches, pixels, or | |
| centimeters; the default unit is inches. Either the width or height | |
| must be specified, or both. If only one is specified, the other one | |
| is determined by the aspect ratio. | |
| %pystata set graph_format svg|png|pdf [, perm] | |
| Set the graphic format used to display Stata graphs. The default | |
| is svg. If svg or png is specified, the graphs will be embedded. | |
| If pdf is specified, the graphs will be displayed, and exported | |
| to PDF files and stored in the current working directory with | |
| numeric names, such as 0.pdf, 1.pdf, 2.pdf, etc. Storing the PDF | |
| graph files in the current directory allows you to embed them in | |
| the notebook when exporting the notebook to a PDF via Latex. | |
| ''' | |
| if line is None: | |
| raise SyntaxError('subcommand required') | |
| scmd = line.strip().split(',') | |
| if len(scmd)>=3: | |
| raise SyntaxError('invalid syntax') | |
| sperm = False | |
| sopt = scmd[1].strip() if len(scmd)==2 else "" | |
| if sopt!="": | |
| if sopt not in ["perm", "perma", "perman", "permane", "permanen", "permanent", "permanentl", "permanently"]: | |
| raise SyntaxError('option ' + sopt + ' not allowed') | |
| else: | |
| sperm = True | |
| scmd = scmd[0].strip().split() | |
| slen = len(scmd) | |
| if slen==0: | |
| raise SyntaxError('subcommand required') | |
| subcmd = scmd[0] | |
| if subcmd=='help': | |
| if slen!=1: | |
| topic = ' '.join(scmd[1:]) | |
| else: | |
| topic = 'help_advice' | |
| _stata.run('help ' + topic, inline=False) | |
| elif subcmd=='status': | |
| if slen!=1: | |
| raise SyntaxError(' '.join(scmd[1:]) + ' not allowed') | |
| else: | |
| _config.status() | |
| elif subcmd=='set': | |
| if slen==1: | |
| raise SyntaxError('set type must be specified') | |
| sset = scmd[1:] | |
| settype = sset[0] | |
| if settype=="graph_size": | |
| if len(sset)!=3 and len(sset)!=5: | |
| raise ValueError('invalid graph_size set') | |
| if len(sset)==3: | |
| if sset[1]=='width' or sset[1]=='w': | |
| _config.set_graph_size(width=sset[2], height=None, perm=sperm) | |
| elif sset[1]=='height' or sset[1]=='h': | |
| _config.set_graph_size(width=None, height=sset[2], perm=sperm) | |
| else: | |
| raise ValueError('invalid graph_size value') | |
| else: | |
| if (sset[1]=='width' or sset[1]=='w') and (sset[3]=='height' or sset[3]=='h'): | |
| _config.set_graph_size(width=sset[2], height=sset[4], perm=sperm) | |
| elif (sset[1]=='height' or sset[1]=='h') and (sset[3]=='width' or sset[3]=='w'): | |
| _config.set_graph_size(width=sset[4], height=sset[2], perm=sperm) | |
| else: | |
| raise ValueError('invalid graph_size value') | |
| elif settype=="graph_show": | |
| if len(sset)!=2: | |
| raise SyntaxError('invalid graph_show set; only True or False allowed.') | |
| if sset[1]=='True': | |
| _config.set_graph_show(show=True, perm=sperm) | |
| elif sset[1]=='False': | |
| _config.set_graph_show(show=False, perm=sperm) | |
| else: | |
| raise ValueError('invalid graph_show value') | |
| elif settype=="graph_format": | |
| if len(sset)!=2: | |
| raise SyntaxError('invalid graph_format set') | |
| if sset[1]=='svg': | |
| _config.set_graph_format(gformat='svg', perm=sperm) | |
| elif sset[1]=='png': | |
| _config.set_graph_format(gformat='png', perm=sperm) | |
| elif sset[1]=='pdf': | |
| _config.set_graph_format(gformat='pdf', perm=sperm) | |
| else: | |
| raise ValueError('invalid graph_format value; only svg, png, or pdf allowed.') | |
| elif settype=="streaming_output_mode": | |
| if len(sset)!=2: | |
| raise SyntaxError('invalid streaming_output_mode set') | |
| if sset[1]=='on': | |
| _config.set_streaming_output_mode(flag='on', perm=sperm) | |
| elif sset[1]=='off': | |
| _config.set_streaming_output_mode(flag='off', perm=sperm) | |
| else: | |
| raise ValueError('invalid streaming_output_mode value; only on or off allowed.') | |
| else: | |
| raise SyntaxError('invalid set type') | |
| else: | |
| raise SyntaxError('invalid subcommand') | |
| try: | |
| ip = get_ipython() | |
| ip.register_magics(PyStataMagic) | |
| except AttributeError: | |
| _config.stipython = 2 | |
| raise IPyKernelError('register_magics not found') |