我们从Python开源项目中，提取了以下31个代码示例，用于说明如何使用string.atof()。
def realvalidator(text, separator = '.'): if separator != '.': if string.find(text, '.') >= 0: return ERROR index = string.find(text, separator) if index >= 0: text = text[:index] + '.' + text[index + 1:] try: string.atof(text) return OK except ValueError: # Check if the string could be made valid by appending a digit # eg ('-', '+', '.', '-.', '+.', '1.23e', '1E-'). if len(text) == 0: return PARTIAL if text[-1] in string.digits: return ERROR try: string.atof(text + '0') return PARTIAL except ValueError: return ERROR
def xview(self, mode = None, value = None, units = None): if type(value) == types.StringType: value = string.atof(value) if mode is None: return self._horizScrollbar.get() elif mode == 'moveto': frameWidth = self._frame.winfo_reqwidth() self.startX = value * float(frameWidth) else: # mode == 'scroll' clipperWidth = self._clipper.winfo_width() if units == 'units': jump = int(clipperWidth * self['horizfraction']) else: jump = clipperWidth self.startX = self.startX + value * jump self.reposition() # Called when the user clicks in the vertical scrollbar. # Calculates new position of frame then calls reposition() to # update the frame and the scrollbar.
def yview(self, mode = None, value = None, units = None): if type(value) == types.StringType: value = string.atof(value) if mode is None: return self._vertScrollbar.get() elif mode == 'moveto': frameHeight = self._frame.winfo_reqheight() self.startY = value * float(frameHeight) else: # mode == 'scroll' clipperHeight = self._clipper.winfo_height() if units == 'units': jump = int(clipperHeight * self['vertfraction']) else: jump = clipperHeight self.startY = self.startY + value * jump self.reposition() # ====================================================================== # Configuration methods.
def main(): if len(sys.argv) == 2: # slob city stringlength = string.atoi(sys.argv[1]) if stringlength < 2 or stringlength % 2 != 0: raise RuntimeError('String length requested must be even ' 'integer > 0.') else: stringlength = 6 while 1: line = sys.stdin.readline() if not line: break latlon = re.findall(r'([-0-9.]+)\s+([-0-9.]+)', line) if latlon: for leftval, rightval in latlon: lat = string.atof(leftval) lon = string.atof(rightval) else: raise RuntimeError('Cannot even get the basic items.') astring = maidenhead.mh1(lat, lon, stringlength) print('{0}'.format(astring))
def main(): if len(sys.argv) == 2: # slob city stringlength = string.atoi(sys.argv[1]) if stringlength < 2 or stringlength % 2 != 0: raise RuntimeError('String length requested must be even ' 'integer > 0.') else: stringlength = 6 while 1: line = sys.stdin.readline() if not line: break latlon = re.findall(r'([-0-9.]+)\s+([-0-9.]+)', line) if latlon: for leftval, rightval in latlon: lat = string.atof(leftval) lon = string.atof(rightval) else: raise RuntimeError('Cannot even get the basic items.') astring = maidenhead.mh2(lat, lon, stringlength) print('{0}'.format(astring))
def add_solver(self, fname): """Collect metrics for each solver.""" comment = re.compile(r'^[\s]*[%#]') column = re.compile(self.options['sep']) # Grab the column from the file. metrics = [] with open(fname, 'r') as fp: for line in fp: if not comment.match(line): line = line.strip() cols = column.split(line) data = atof(cols[self.options['datacol'] - 1]) metrics.append(data) self.metrics.append(metrics) if len(metrics) != len(self.metrics[0]): raise ValueError('All solvers must have same number of problems.')
def parse_detail_page(self, response): item = response.meta["item"] score = response.xpath('//div[@class="statics clearfix"]/div[@class="static-item l score-btn"]/span[@class="meta-value"]/text()').extract_first().encode('utf-8').strip() item['score'] = string.atof(score) review_num = response.xpath('//div[@class="score-box"]/a[@class="person-num"]/span/text()').extract_first().encode('utf-8').strip() review_num = re.match(r'\d+', review_num).group(0).strip() item['review_num'] = string.atoi(review_num) item['intro_detail'] = response.xpath('//div[@class="content"]/div[@class="course-brief"]/p/text()').extract_first().encode('utf-8').strip() intro = item['name'] + item['intro'] + item['intro_detail'] item['keywords'] = self.extractKeywords(intro) print item['keywords'] yield item
def stringtoreal(text, separator = '.'): if separator != '.': if string.find(text, '.') >= 0: raise ValueError, 'invalid value: ' + text index = string.find(text, separator) if index >= 0: text = text[:index] + '.' + text[index + 1:] return string.atof(text) ###################################################################### ### File: PmwBalloon.py
def test_atof(self): self.assertAlmostEqual(string.atof(" 1 "), 1.0) self.assertRaises(ValueError, string.atof, " 1x ") self.assertRaises(ValueError, string.atof, " x1 ")
def extract_data(path): """ extract all data for feeding placeholder. Args: path -- the txt file each line with format image_dir bounding box labeled points Return: images -- image cropped around face range and resized to 39*39 points -- points extracted from txt factors -- scale factor crds -- crop box widths -- bounding box width """ images = []; points = []; factors = []; crds = []; widths = [] with open(path, "r") as f: lines = f.readlines() for line in lines: a = line.split(); impath = a[0]; a = a[1:] aa = [] for i in range(len(a)): aa.append(string.atof(a[i])) bbox_width = aa[1] - aa[0]; bbox_height = aa[3] - aa[2] widths.append(bbox_width) left = int(bbox_width * ranges[0] + aa[0]) top = int(bbox_height * ranges[2] + aa[2]) if bbox_height >= bbox_width: bottom = int(bbox_height * ranges[3] + aa[2]) height = bottom - top; diff = bbox_height - bbox_width left = int(left - 0.5 * diff); right = left + height factor = 39 / height else: right = int(bbox_width * ranges[1] + aa[0]) width = right - left; diff = bbox_width - bbox_height top = int(top - 0.5*diff); bottom = top + width factor = 39 / width factors.append([factor]) box = (left, right, top, bottom); crds.append([left, top]) im = Image.open(impath); image = im.crop(box) images.append(np.array(image.resize((39, 39))) / 255) point_raw = aa[4:]; points.append(point_raw) print(points[0]) return images, points, factors, crds, widths
def Sum_of_weight(G): #nx.number_of_edges(nx.ego_graph(Hub_ego,n,1)) EdgeList = G.edges(data=True) #[(0, 1, {}), (1, 2, {}), (2, 3, {})] #print EdgeList Sum_of_weight = 0.0 for edge in EdgeList: Sum_of_weight = Sum_of_weight + edge[2]['weight'] #weight=string.atof(line[3]),timestamp=string.atof(line[5] #end for return Sum_of_weight
def get_ht_thread(): global h global t while True: gpio_lock.acquire() ht = dht.read_retry(dht.DHT22, config.DHT22_GPIO_NUM) gpio_lock.release() h = '{0:0.1f}'.format(ht[0]) t = '{0:0.1f}'.format(ht[1]) h = string.atof(h) t = string.atof(t) time.sleep(2)
def get_stock_now_price(self, stock_code): """ ????????? :param stock_id: ??id :return: """ code = self._code_to_symbol(stock_code) data = urllib.urlopen("http://hq.sinajs.cn/list=" + code).read().decode('gb2312') stockInfo = data.split(',') currentPrice = string.atof(stockInfo[3]) return float(currentPrice)
def get_yesterday_price(self, stock_code): """ ?????????? :param stock_code: :return: """ code = self._code_to_symbol(stock_code) data = urllib.urlopen("http://hq.sinajs.cn/list=" + code).read().decode('gb2312') stockInfo = data.split(',') currentPrice = string.atof(stockInfo[2]) return float(currentPrice)
def HexamerFeatures(seq,hash_matrix): if len(seq) < 6: return(0,0) frame_sequence = list(seq) frame_seq_length = len(frame_sequence) CDS_array = [] for o in range(0,3): frame_TempStr = '' frame_TempStr = InitCodonSeq(o,frame_seq_length-2,3,frame_sequence) frame_array = frame_TempStr.split(' ') ## codon array frame_array.pop() other_num = 0 frame_array_Len = len(frame_array) - 1 for j in range(frame_array_Len): temp2 = frame_array[j]+frame_array[j+1] temple4 = re.compile('[atcg]{6}') if temple4.match(temp2): other_num = string.atof(other_num) + string.atof(hash_matrix[temp2]) frame_array_Len = frame_array_Len + 2 other_num = other_num / frame_array_Len CDS_array.append(other_num) Mscore = max(CDS_array) score_distance = 0 for m in range(0,3): #problem location score_distance += Mscore - CDS_array[m] score_distance = score_distance/float(2) return(Mscore,score_distance) #============================================================================== # The main process for the feature calculation #==============================================================================
def HexamerFeatures(seq,hash_matrix): if len(seq) < 6: return(0,0) frame_sequence = list(seq) frame_seq_length = len(frame_sequence) CDS_array = [] for o in range(0,3): frame_TempStr = '' frame_TempStr = InitCodonSeq(o,frame_seq_length-2,3,frame_sequence) frame_array = frame_TempStr.split(' ') ## codon array frame_array.pop() other_num = 0 frame_array_Len = len(frame_array) - 1 for j in range(frame_array_Len): temp2 = frame_array[j]+frame_array[j+1] temple4 = re.compile('[atcg]{6}') if temple4.match(temp2): other_num = string.atof(other_num) + string.atof(hash_matrix[temp2]) frame_array_Len = frame_array_Len + 2 other_num = other_num / frame_array_Len CDS_array.append(other_num) Mscore = max(CDS_array) score_distance = 0 for m in range(0,3): #problem location score_distance += Mscore - CDS_array[m] score_distance = score_distance/float(2) return(Mscore,score_distance) #============================================================================== # Print the final result #==============================================================================
def calculate_date(self): point = 0.0 weight = 0.0 for i in range(len(self.points)): if(self.points[i].isdigit()): point += string.atof(self.points[i])*string.atof(self.weights[i]) weight += string.atof(self.weights[i]) print point/weight #??
def read_float(self, input_file): s = string.strip(input_file.readline()) print s return string.atof(s)
def load_prior_prob(file_name): f_input = open(file_name,"r") is_first_line = 0 try: while True: line = f_input.readline() line = line.strip() if(len(line) == 0): break items = line.split("\t") if len(items) != 3: print "error in the prob file!",len(items),line sys.exit() if is_first_line == 0: sign_id_map[items[1]] = 0 sign_id_map[items[2]] = 1 is_first_line = 1 else: word_list[items[0]] = len(prob_matrix) prob_matrix.append((string.atof(items[1]),string.atof(items[2]),items[0])) #print line finally: for i in range(len(prob_matrix)): if word_list[prob_matrix[i][2]] != i: print "load prob error !" sys.exit() f_input.close()
def readFloatArrayWithSkip(filename, col): "Return a floating-point array containing the data from file |filename|." if not type(col) == list: col = [col] data = [] from operator import getitem for line in TextFile(filename): if line[0] != '#': fields = string.split(line) data.append(map(string.atof, [fields[x] for x in col])) a = Numeric.array(data) if a.shape[0] == 1 or a.shape[1] == 1: a = Numeric.ravel(a) return a
def readFloatArray(filename): "Return a floating-point array containing the data from file |filename|." data = [] for line in TextFile(filename): if line[0] != '#': data.append(map(string.atof, string.split(line))) a = Numeric.array(data) if a.shape[0] == 1 or a.shape[1] == 1: a = Numeric.ravel(a) return a
def parse(self, response): # Get help from: http://stackoverflow.com/questions/38574869/how-can-i-jump-to-next-page-in-scrapy if response.meta.get('is_json', False): page = Selector(text=json.loads(response.body)['table']) else: page = Selector(response) if self.flag: self.total_item_num = int(page.xpath('//div[@id="show-more-courses"]/text()').re(r'courses of (.*)')[0]) + 50 print "Total courses: ", self.total_item_num self.steps = self.total_item_num / 50 + 1 self.flag = False base_urls = "https://www.class-central.com/courses/past" #base_urls = "https://www.class-central.com/courses/recentlyAdded" my_header = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36'} divs = page.xpath('//tr[@itemtype="http://schema.org/Event"]') #print "print content", len(divs) print "Process: ", self.cnt, '/', self.steps for div in divs: item = MoocCrawlerItem() item = {k:"" for k in item.keys()} parse_name = div.xpath('./td/a/span[@class="course-name-text"]/text()').extract_first().strip() item['name'] = parse_name parse_score = div.xpath('./td/div[@class="course-rating-value"]/text()').extract_first().strip() if len(parse_score) > 3: parse_score = parse_score[:3] item['score'] = string.atof(parse_score) * 2 parse_platform = div.xpath('./td/div[@class="course-provider"]/text()').extract_first().strip() item['platform'] = parse_platform parse_url = div.xpath('./td/a/@href').extract_first().decode().encode('utf-8').strip() item['url'] = "https://www.class-central.com" + parse_url parse_cid = re.findall(r'/mooc/(.*)/', parse_url)[0] item['cid'] = "cc" + parse_cid req = scrapy.Request(item['url'], headers=my_header, callback=self.parse_detail_page) req.meta['item'] = item yield req #next_page_el = respones.xpath("//div[@id='show-more-courses']") if self.cnt < self.steps: #if next_page_el: next_page_url = "https://www.class-central.com/maestro/courses/past?page=1&_=1471346096733" #next_page_url = "https://www.class-central.com/maestro/courses/recentlyAdded?page=1" next_page = response.meta.get('page', 1) + 1 next_page_url = add_or_replace_parameter(next_page_url, 'page', next_page) r = scrapy.Request(next_page_url, headers=my_header, callback=self.parse, meta={'page': next_page, 'is_json': True}) self.cnt += 1 yield r
def Create_Graph(fname = None): ''' G = nx.Graph() G.add_edge(0, 1, weight = 2.0,timestamp = 1.0) G.add_edge(0, 2, weight = 2.0,timestamp = 1.0) G.add_edge(0, 3, weight = 2.0,timestamp = 1.0) G.add_edge(0, 4, weight = 2.0,timestamp = 1.0) G.add_edge(0, 5, weight = 2.0,timestamp = 1.0) G.add_edge(4, 6, weight = 2.0,timestamp = 1.0) G.add_edge(4, 7, weight = 2.0,timestamp = 1.0) G.add_edge(4, 8, weight = 2.0,timestamp = 1.0) G.add_edge(7, 8, weight = 2.0,timestamp = 1.0) G.add_edge(5, 9, weight = 2.0,timestamp = 1.0) G.add_edge(2, 3, weight = 2.0,timestamp = 1.0) G.add_edge(2, 13, weight = 2.0,timestamp = 1.0) G.add_edge(2, 11, weight = 2.0,timestamp = 1.0) G.add_edge(2, 12, weight = 2.0,timestamp = 1.0) G.add_edge(11, 12, weight = 2.0,timestamp = 1.0) G.add_edge(3, 11, weight = 2.0,timestamp = 1.0) G.add_edge(3, 10, weight = 2.0,timestamp = 1.0) ''' #fname = 'F:/Link_Prediction_Code/Dataset/6-Wireless_contact_Train_Regular.txt' #Get edge from txt type data try: fdobj = open(fname,'r') except IOError as e: print "***file open error:",e else: G = nx.Graph() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() eline = fdobj.readline() while eline: line = eline.strip('\n').split() G.add_edge(string.atoi(line[0]),string.atoi(line[1]),weight=string.atof(line[3]),timestamp=string.atof(line[4]))#weight=string.atof(line[3]) eline = fdobj.readline() #end while #Data_Prepare.Drawcomgraph(G) return G ##==========================================================================================
def get (namepatterns,verbose=1): """ Loads a list of lists from text files (specified by a UNIX-style wildcard filename pattern) and converts all numeric values to floats. Uses the glob module for filename pattern conversion. Loaded filename is printed if verbose=1. Usage: get (namepatterns,verbose=1) Returns: a 1D or 2D list of lists from whitespace delimited text files specified by namepatterns; numbers that can be converted to floats are so converted """ fnames = [] if type(namepatterns) in [ListType,TupleType]: for item in namepatterns: fnames = fnames + glob.glob(item) else: fnames = glob.glob(namepatterns) if len(fnames) == 0: if verbose: print 'NO FILENAMES MATCH ('+namepatterns+') !!' return None if verbose: print fnames # so user knows what has been loaded elements = [] for i in range(len(fnames)): file = open(fnames[i]) newelements = map(string.split,file.readlines()) for i in range(len(newelements)): for j in range(len(newelements[i])): try: newelements[i][j] = string.atoi(newelements[i][j]) except ValueError: try: newelements[i][j] = string.atof(newelements[i][j]) except: pass elements = elements + newelements if len(elements)==1: elements = elements[0] return elements
def aget (namepattern,verbose=1): """ Loads an array from 2D text files (specified by a UNIX-style wildcard filename pattern). ONLY 'GET' FILES WITH EQUAL NUMBERS OF COLUMNS ON EVERY ROW (otherwise returned array will be zero-dimensional). Usage: aget (namepattern) Returns: an array of integers, floats or objects (type='O'), depending on the contents of the files specified by namepattern """ fnames = glob.glob(namepattern) if len(fnames) == 0: if verbose: print 'NO FILENAMES MATCH ('+namepattern+') !!' return None if verbose: print fnames elements = [] for filename in fnames: file = open(filename) newelements = file.readlines() del_list = [] for row in range(len(newelements)): if (newelements[row][0]=='%' or newelements[row][0]=='#' or len(newelements[row])==1): del_list.append(row) del_list.reverse() for i in del_list: newelements.pop(i) newelements = map(string.split,newelements) for i in range(len(newelements)): for j in range(len(newelements[i])): try: newelements[i][j] = string.atof(newelements[i][j]) except: pass elements = elements + newelements for row in range(len(elements)): if N.add.reduce(N.array(map(isstring,elements[row])))==len(elements[row]): print "A row of strings was found. Returning a LIST." return elements try: elements = N.array(elements) except TypeError: elements = N.array(elements,'O') return elements
