def make():
concentration_path_dict = {}
compared_path_list2 = []
ck = spectrum(chose_entry.get())
file_path = folder_entry.get()
if file_path[-1] != '/' and file_path[-1] != '\\':
file_path += '/'
compared_path_list = get_all_file_path(file_path)
if chose_entry.get() in compared_path_list:
compared_path_list.remove(chose_entry.get())
for each_compared_path in compared_path_list:
each_compared_path = each_compared_path.decode('gbk')
# print(each_compared_path)
# print(type(each_compared_path))
print(each_compared_path.split('/'))
concentration_path_dict[re.search(r'(?P<concentration2>\d.\d\d|\d\d.\d|\d{3})', each_compared_path.split('/')[-1]).group('concentration2')] = each_compared_path
for path_dict in sorted(concentration_path_dict, key=lambda v: [int(i) for i in v.rstrip('@').split('.')]):
compared_path_list2.append(concentration_path_dict[path_dict])
standard_peaks_locs = peak_entry.get().split(';') # 下面可以加上排序
if standard_peaks_locs[-1] == '':
standard_peaks_locs.remove(standard_peaks_locs[-1])
make_path = make_entry.get()
if make_path[-1] != '/' and make_path[-1] != '\\':
make_path += '/'
try:
new_file = open(make_path+name_entry.get()+'.csv', 'a')
for loc in standard_peaks_locs:
new_file.write(',,'+loc)
new_file.write('\n')
new_file.write(ck.concentration)
for loc in standard_peaks_locs:
new_file.write(',,'+ck[loc])
new_file.write('\n')
for path in compared_path_list2:
compared_peaks_locs_float = []
spec = spectrum(path)
final_r = spec.concentration
for loc in standard_peaks_locs:
if loc in spec.locs:
final_r += ',,'+spec[loc]
else:
standard_loc_float = float(loc)
for compared_loc_str in spec.locs:
compared_peaks_locs_float.append(float(compared_loc_str))
close_peak_loc = find_close(standard_loc_float, compared_peaks_locs_float)
final_r += ",%s,%s" % (close_peak_loc, spec['{:.2f}'.format(Decimal(close_peak_loc))])
new_file.write(final_r+'\n')
new_file.write('\n')
tkMessageBox.showinfo("已完成", "已完成")
except:
tkMessageBox.showwarning("Failed", "未能生成文件")
finally:
new_file.close()
def make_division():
name_del = []
distinguish_path = chose_distinguish_entry.get() # 从chose_distinguish_entry获取路径
distinguish_path.replace('\\', '/') # 替换字符
if distinguish_path[-1] != '/': # 加上'/'
distinguish_path += '/'
distinguish_path_yanghe = distinguish_path + '氧合' # 氧合文件夹路径
distinguish_path_tuoyang = distinguish_path + '脱氧'
distinguish_path_del = distinguish_path + '删除'
distinguish_path = distinguish_path.decode()
distinguish_path_yanghe = distinguish_path_yanghe.decode() # 解码
distinguish_path_tuoyang = distinguish_path_tuoyang.decode()
distinguish_path_del = distinguish_path_del.decode()
if not os.path.exists(distinguish_path_yanghe): # 判断氧合
os.makedirs(distinguish_path_yanghe) # 建立氧合文件夹
if not os.path.exists(distinguish_path_tuoyang): # 判断脱氧
os.makedirs(distinguish_path_tuoyang)
if not os.path.exists(distinguish_path_del): # 判断脱氧
os.makedirs(distinguish_path_del)
all_file_path = get_list_from_path.get_all_file_path(distinguish_path) # 获取所有文件的路径
for path in all_file_path:
file = open(path)
s_line = []
x_axis = []
s_peaks = []
for line in file: # 逐行读取
(x, y) = line.split()
s_line.append(float(y)) # 合成一条线
x_axis.append(float(x)) # 组成x坐标
file.close()
peaks = [x_axis[ind] for ind in detect_peaks(s_line, show=False)] # detect_peaks返回的是索引值
s_peaks = [peak for peak in peaks if 1624.00 < peak < 1643.00] # 查找峰值范围
if max([s_line[ind] for ind in detect_peaks(s_line, show=False)[19:-20:1]]) > 250:
if s_peaks:
shutil.move(path, distinguish_path_yanghe)
else:
shutil.move(path, distinguish_path_tuoyang)
else:
shutil.move(path, distinguish_path_del)
name_del.append(os.path.basename(path))
if name_del:
tkMessageBox.showinfo('以下文件而被移动至“删除”', '小于200的文件： %d' % name_del)
def make():
all_s_line = []
s_line_total2 = []
line_num = 0
c = 0
folder_path = chose_entry.get()
folder_path.replace('\\', '/')
if folder_path[-1] != "/":
folder_path += "/" # 输入的路径如果没有\的话，加上\
folder_path = folder_path.decode() # 将path解码成unicode
all_file_path = get_list_from_path.get_all_file_path(folder_path) # 获取所有文件的路径
# all_file_path = all_file_path.decode() # 将all_file_path解码
means_file_path = make_entry.get()
means_file_path.replace('\\', '/')
if means_file_path[-1] != '/': # 有'/'与没有'/'的两种情况
means_file_path += '/11means.txt'
elif means_file_path[-1] == '/': # 再判断一下结尾是否有'/'
means_file_path += '11means.txt'
means_file_path = means_file_path.decode() # 将means_file_path解码
if means_file_path in all_file_path:
tkMessageBox.showwarning("注意", "11means.txt已在该split目录下存在，\n要重新生成请先将此文件删除。")
return None
for path in all_file_path: # 逐个文件打开
file = open(path)
s_line = []
x_axis = []
# s_line_del = []
for line in file: # 逐行读取
(x, y) = line.split() # 将同一行根据空格分割开x,y
x1 = float(x)
if 453.00 < x1 < 3260.00:
s_line.append(float(y)) # 合成一条线
x_axis.append(float(x))
# s_line_del = [s_del for s_del in s_line if s_del < 453.00 or s_del > 3260.00]
# for s_del2 in s_line_del:
# s_line.remove(s_del2)
all_s_line.append(s_line) # 将一条线加入“所有图谱”的list中
file.close()
s_line_total = all_s_line[0] # 先将第一条线赋值给s_line_total
del all_s_line[0]
for line in all_s_line: # 将逐条线读出来，即line
line_num += 1 # 累加计算有多少条线
# if line != all_s_line[0]: # 如果是第一条线，就不向s_line_total赋值了，因为前面已经赋了
# s_line_total = [x+y for x, y in zip(s_line_total, line)] # 一句实现了以下for的功能，将line加入s_line_total中
s_line_total = map(lambda xx: xx[0]+xx[1], zip(s_line_total, line))
# print(s_line_total[178])
# s_line_total = s_line_total2
# s_line_total2 = []
#for x,y in zip(s_line,s_line2):
# s_line_total.append(x+y)
s_line_mean = [s/(line_num+1) for s in s_line_total] # 将s_line_total除以线数目
means_file = open(means_file_path, 'w') # 'w'代表可以写，注意文件不可以生成在先前读取的目录下
for a in x_axis:
b = s_line_mean[c]
means_file.write("%f %f\n" % (a, b))
c += 1
means_file.close()
if os.path.exists(means_file_path):
tkMessageBox.showinfo("已完成", "已完成")
