def specified_LD(year,month,dt,Area_id): # 領域で絞り込んだプロファイルのみ層厚計算 import subroutine import AQC import numpy as np import LD temp,salt,pres,lon,lat=AQC.get_data(year,month) N_PROF=lon.size n=AQC.specified_NPROF(year,month,Area_id) MLD=np.zeros(n.size) ILD=np.zeros(n.size) BLT=np.zeros(n.size) for i in range(0,n.size): MLD[i],ILD[i],BLT[i]=LD.easy_cal(pres[n[i],:],temp[n[i],:],salt[n[i],:],dt) MLD[i]=LD.to_5m(MLD[i]) ILD[i]=LD.to_5m(ILD[i]) return MLD,ILD,BLT
def profile(t,s,pres,t_min,t_max,s_min,s_max):
import matplotlib.pyplot as plt
import LD
fs_num=20
fs_label=25
fig=plt.figure(figsize=(10,10))
ax1=fig.add_subplot(111)
ax1.plot(s,pres,'r--o',label='Salinity')
ax1.set_xlim(s_min,s_max)
ax1.set_xlabel('Salinity(psu)',fontsize=fs_label,color='red')
plt.setp(ax1.get_xticklabels(),fontsize=fs_num,visible=True,color='red')
ax2=ax1.twiny()
ax2.plot(t,pres,'b--o',label='Temperature')
ax2.set_xlim(t_min,t_max)
ax2.set_xlabel('Temperature(degree)',fontsize=fs_label,color='blue')
plt.setp(ax2.get_xticklabels(),fontsize=fs_num,visible=True,color='blue')
ax1.set_ylabel('Depth(dbar)',fontsize=fs_label)
ax1.set_ylim(200,0)
mld,ild,blt=LD.cal(pres,t,s,0.2) # dT=0.2で計算した層厚を算出する
plt.axhline(y=mld, color='b',linewidth=4)
plt.axhline(y=ild, color='g',linewidth=4)
plt.setp(ax1.get_yticklabels(),fontsize=fs_num,visible=True)
plt.show()
# -*- coding: utf8 -*-
import LD
print LD.edit_dis('fa', 'fd')
print LD.edit_dis('', 'fd')
print LD.edit_dis('f', 'fd')
print LD.edit_dis('f', 'f')
print LD.edit_dis('fads', 'fdasj')
print LD.edit_dis('fads', 'fdasj')
print LD.edit_dis('发的数据库', '大神讲解')
print LD.edit_path('发的数据库', '大神讲解')
def luckDice():
global LDcount
LDcount += 1
JoinText = "<h2>[" + str(LDcount) + "] " + LD.chooseLD() + "</h2>"
return json.dumps({'JoinText': JoinText})
if (len(argumentos) != 2):
print('Para executar o App é preciso digitar: ')
print(' - A porta da serial: /dev/pts/19')
print(' - O Proto: 5')
sys.exit(1)
port = argumentos[0] #'/dev/pts/19'
proto = int(argumentos[1])
print(
'----------------------------------------------------------------------------'
)
print(' ')
print('Protocolo de Enlace LD')
print(' ')
print(
'----------------------------------------------------------------------------'
)
print(' ')
print('Iniciando o Transmissor:')
print(' ')
app = LD(port, proto)
app.transmite()
print(
'----------------------------------------------------------------------------'
)
print('Transmissão encerrada.')
print(
'----------------------------------------------------------------------------'
)
#word2 = "Peithen"
#print("MED between " + word1 + " and " + word2 + " is: " + str(LD.LD_Iter(word1, word2, 1, 1, 1)))
#print("MED between " + word1 + " and " + word2 + " is: " + str(LD.LD_Recursive(word1, word2)))
from nltk.corpus import words
from nltk.corpus import brown
from nltk import FreqDist
sentence = "I ama noto maad"
words = sentence.split()
frequency_list = FreqDist(i.lower() for i in brown.words())
k_dict_freq = frequency_list.most_common()[:1000]
k_dict = [i[0] for i in k_dict_freq]
#print(k_dict)
corrected = []
for w in words:
if w.lower() not in k_dict:
lowestLD = 1000
for k in k_dict:
curLD = LD.LD_Iter(w.lower(), k, 1, 1, 1)
if (curLD < lowestLD):
lowestLD = curLD
correct_word = k
print(w + ":" + correct_word + str(lowestLD))
corrected.append(correct_word)
else:
corrected.append(w)
print(corrected)
)
print(' ')
print('Protocolo de Enlace LD')
print(' ')
print(
'----------------------------------------------------------------------------'
)
print(' ')
print('Iniciando o Receptor:')
print(' ')
print('Aguardando dado...')
print(' ')
print(
'----------------------------------------------------------------------------'
)
bufer = bytearray()
print('Dado recebido:')
while (True):
app = LD(port, proto)
bufer = app.recebe()
print(' ')
print(bufer)
print(' ')
print(
'----------------------------------------------------------------------------'
)
print('Recepção encerrada.')
print(
'----------------------------------------------------------------------------'
)
