-
Notifications
You must be signed in to change notification settings - Fork 3
/
eval_parser.py
364 lines (310 loc) · 11.9 KB
/
eval_parser.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
import txt_mixin
#import spreadsheet
from numpy import *
import rwkos, rwkmisc
import copy, os, re
item_pat = 'Item Analysis - Survey:'
def list_to_latex_row(row_list):
return ' & '.join(row_list)+' \\\\'
def _latex_label_format(labels, fstr='\\textbf'):
flist = [fstr+'{'+item+'}' for item in labels]
label_str_out = ' & '.join(flist)+ ' \\\\'
return label_str_out
def format_analysis_row(rowin):
row_str = '%s & %i & %i & %0.2f & %0.2f \\\\' % rowin
return row_str
summer_courses = ['452','454']
class csv_parser(txt_mixin.txt_file_with_list):
def decode_semester(self):
if self.sem_str[0].lower() == 'f':
self.semester = 'Fall'
else:
if self.course_num in summer_courses:
self.semester = 'Summer'
else:
self.semester = 'Spring'
def regexp_pathin(self):
folder, filename = os.path.split(self.pathin)
pat = 'ME_*([0-9]+)_*([A-Za-z]+)_*([0-9]+)_*(.*)\\.csv'
p = re.compile(pat)
q = p.search(filename)
if q:
self.course_num = q.group(1)
self.sem_str = q.group(2)
self.year = int(q.group(3))
if self.year < 100:
self.year += 2000
self.path_rest = q.group(4)
self.decode_semester()
def __init__(self, *args, **kwargs):
txt_mixin.txt_file_with_list.__init__(self, *args, **kwargs)
self.parse()
self.regexp_pathin()
def _build_pathout(self, ending):
filename = 'ME%s_%s_%s_%s_nh.tex' % (self.course_num, \
self.semester, \
self.year, ending)
pathout = os.path.join(self.folder, filename)
return pathout
def save_summary_latex(self, pathout=None):
if pathout is None:
pathout = self._build_pathout('stats')
if not hasattr(self, 'summary_latex'):
self.Build_Summary_Latex()
txt_mixin.dump(pathout, self.summary_latex)
def save_analysis_latex(self, pathout=None):
if pathout is None:
pathout = self._build_pathout('item_analysis')
if not hasattr(self, 'analysis_latex'):
self.Build_Analysis_Latex()
txt_mixin.dump(pathout, self.analysis_latex)
def parse(self):
self.start_inds = self.findall(item_pat)
self.end_inds = copy.copy(self.start_inds)
self.end_inds.pop(0)
self.end_inds.append(None)
self.items = None
for start, end in zip(self.start_inds, self.end_inds):
chunk = self.list[start:end]
cur_item = eval_item(chunk)
if self.items is None:
self.items = [cur_item]
else:
self.items.append(cur_item)
## def _latex_one_row(self, ind, float_fmt='%0.2f'):
## #data = self.stats_data
## keys = ['mean', 'size', 'missing', 'variance', 'std_dev']
## fmts = [float_fmt, '%i', '%i', float_fmt, float_fmt]
## cur_list = [str(ind+1)+': '+item_titles[ind]]
## for key, fmt in zip(keys, fmts):
## cur_attr = getattr(data, key)
## if cur_attr:
## cur_value = cur_attr[ind]
## cur_str = fmt % cur_value
## cur_list.append(cur_str)
## return self._list_to_row(cur_list)
def latex_table_start(self):
return '\\begin{tabular}{p{2.75in}*{5}{r}}'
## if self.variance:
## return '\\begin{tabular}{p{2.75in}*{5}{r}}'
## else:
## return '\\begin{tabular}{p{2.75in}*{4}{r}}'
## def _latex_label_format(self, labels, fstr='\\textbf'):
## flist = [fstr+'{'+item+'}' for item in labels]
## label_str_out = ' & '.join(flist)+ ' \\\\'
## return label_str_out
def _build_course_title(self):
course_title = 'ME %s %s %s' % (self.course_num, \
self.semester, \
self.year)
self.course_title = course_title
return self.course_title
def build_summary_title(self):
self._build_course_title()
title_str = '\\subsection*{Summarized Student Evaluations: %s}' % \
self.course_title
return title_str
def build_analysis_title(self):
self._build_course_title()
title_str = '\\subsection*{Detailed Student Evaluations: %s}' % \
self.course_title
return title_str
def Build_Summary_Latex(self, add_section=True):
tex_list = []
out = tex_list.append
ext = tex_list.extend
#ext(self.Fancy_Header())
if add_section:
out(self.build_summary_title())
out('')
out('\\flushleft')
out('')
for i, item in enumerate(self.items):
if i == 0:
out(self.latex_table_start())
labels0 = ['','','Sample','Number','','Standard']
labels1 = ['Question', 'Mean', 'Size', \
'Missing', 'Variance', \
'Deviation']
## if not self.variance:
## labels0.pop(4)
## labels1.pop(4)
#labels = ['Question', 'Mean', 'Sample Size', \
# 'Number Missing', 'Variance', \
# 'Standard Deviation']
flabels0 = _latex_label_format(labels0)
flabels1 = _latex_label_format(labels1)
out(flabels0)
out(flabels1)
out('\\hline')
if i % 2 :
out('\\rowcolor[gray]{0.9}')
out(item.latex_summary_row())
## if (i % 6) == 5:
## out('\\end{tabular}')
out('\\end{tabular}')
self.summary_latex = tex_list
return self.summary_latex
def Build_Analysis_Latex(self, add_section=True):
tex_list = []
out = tex_list.append
ext = tex_list.extend
if add_section:
out(self.build_analysis_title())
out('')
out('\\flushleft')
out('')
for item in self.items:
ext(item.latex_analysis_chunk())
out('')
out('')
self.analysis_latex = tex_list
return self.analysis_latex
def clean_csv_text(textin):
textout = copy.copy(textin)
clean_list = [',','"',' ','\t',"'"]
while textout[-1] in clean_list:
textout = textout[0:-1]
while textout[0] in clean_list:
textout = textout[1:]
return textout
analysis_labels = ['Label','Value','Frequency',\
'Percent','Valid Percent']
class eval_item(object):
def regexp_title(self):
pat = 'Item Analysis - Survey: ([0-9]+): (.*)'
p = re.compile(pat)
q = p.search(self.title)
self.number = int(q.group(1))
clean_title = q.group(2)
self.clean_title = clean_csv_text(clean_title)
def __init__(self, listin=None):
self.listin = listin
if listin is not None:
self.parse()
def parse(self):
mylist = rwkmisc.clean_list_regexp(self.listin)
title = mylist.pop(0)
self.title = clean_csv_text(title)
missing_line = mylist.pop()
assert missing_line.find('Total Missing') != -1, \
'Did not find "Total Missing" in ' + missing_line
missing_list = missing_line.split(',')
self.missing = int(missing_list[-1])
total_line = mylist.pop()
assert total_line.find('Total Valid') != -1, \
'Did not find" Total Valid" in ' + total_line
total_list = total_line.split(',')
self.total_valid = int(total_list[-1])
self.total = self.total_valid + self.missing
self.list = mylist
first = 1
for rowstr in mylist:
row = rowstr.split(',')
if first:
first = 0
labels = [row[0]]
values = [int(row[1])]
freqs = [int(row[2])]
else:
labels.append(row[0])
values.append(int(row[1]))
freqs.append(int(row[2]))
self.labels = [item.replace('"','') for item in labels]
self.values = values
self.freqs = freqs
assert sum(self.freqs) == self.total_valid, \
'Self.total != sum(self.freqs)'
self.build_data()
self.calc_stats()
self.calc_percents()
self.regexp_title()
def build_data(self):
data_list = None
for freq, val in zip(self.freqs, self.values):
curlist = [val]*freq
if data_list is None:
data_list = curlist
else:
data_list.extend(curlist)
self.data = array(data_list)
def calc_stats(self):
if any(self.freqs):
self.var = self.data.var(ddof=1)
self.mean = self.data.mean()
self.std = self.data.std(ddof=1)
self.max = self.data.max()
self.min = self.data.min()
else:
self.var = 0.0
self.mean = 0.0
self.std = 0.0
self.max = 0.0
self.min = 0.0
def calc_percents(self):
freqs = array(self.freqs, dtype=float)
N1 = self.total
N2 = self.total_valid
self.percents = 100*freqs/N1
self.valid_percents = 100*freqs/N2
def latex_summary_row(self, float_fmt='%0.2f'):
#data = self.stats_data
keys = ['mean', 'total', 'missing', 'var', 'std']
fmts = [float_fmt, '%i', '%i', float_fmt, float_fmt]
cur_list = [str(self.number)+': '+self.clean_title]
for key, fmt in zip(keys, fmts):
cur_value = getattr(self, key)
cur_str = fmt % cur_value
cur_list.append(cur_str)
return list_to_latex_row(cur_list)
def latex_analysis_chunk(self, float_fmt='%0.2f'):
tex_list = []
out = tex_list.append
out('\\parbox{\\textwidth}{')
out('\\textbf{\\large %s}' % self.title)
out('')
labels = analysis_labels
n = len(labels)-1
out('\\vspace{0.05in}')
out('\\begin{tabular}{l*{%i}{r}}'%n)
out('\\hline')
out(_latex_label_format(labels))
out('\\hline')
i = 0
biglist = zip(self.labels, self.values, self.freqs, \
self.percents, self.valid_percents)
for row in biglist:
row_str = format_analysis_row(row)
out(row_str)
i += 1
if (i < 5) and (i % 2):
out('\\rowcolor[gray]{0.9}')
if i == 5:
out('\\hline')
valid_percent = (100.0*self.total_valid)/self.total
valid_tup = ('Total Valid',self.total_valid, valid_percent, \
100.0)
valid_row_str = '%s & & %i & %0.2f & %0.2f \\\\' % valid_tup
out(valid_row_str)
missing_percent = (100.0*self.missing)/self.total
missing_tup = ('Total Missing',-1, self.missing, \
missing_percent)
missing_row_str = '%s & %i & %i & %0.2f & \\\\' % missing_tup
out(missing_row_str)
total_tup = ('Total', self.total, 100.0)
total_row_str = '%s & & %i & %0.2f & \\\\' % total_tup
out(total_row_str)
out('\\end{tabular}')
out('}')#end parbox
out('\\vspace{0.3in}')
return tex_list
if __name__ == '__main__':
folder = rwkos.FindFullPath('siue/tenure/student_evaluations')
#filename = 'ME452_S09_item_analysis.csv'
#filename = 'ME482_F08_item_analysis.csv'
filename = 'ME484_Spring_2009_item_analysis.csv'
fno, ext = os.path.splitext(filename)
pathin = os.path.join(folder, filename)
myparser = csv_parser(pathin)
myparser.save_summary_latex()
myparser.save_analysis_latex()