been coding for 2 days and ran into a snag.
I wanted to make a fun little practice thingy to help some people practice their english.
Basically they type in the words they wanna practice and then the randomizer throws out sentences for them to read.
Issue is I want to get the grammer right, I have done two different "Pronoun" catagories and 2 different "verb" catagories.
How do I link them together but still retain the random element of never knowing what combo you would get but making it still follow the grammer rules.
Code is below, any help would be awesome =D
# coding: utf-8
# In[73]:
noun1 = ("apple", "peach", "plum", "cat", "dog", "mouse")
verb1 = ("drink", "eat", "swim", "kill", "kick", "hit", "die")
# verb + S
verbS = ("drinks", "eats", "swims", "kills", "kicks", "hits", "dies")
adj1 = ("blue", "black", "red","big", "small", "tall", "short")
direction1 = ("up", "in", "out", "behind", "infront of", "over")
#pronouns Capital
Pronoun1 = ("I", "You", "They", "We")
PronounS = ("He", "She","Tt")
#pronouns non Capital
pronoun1 = ("I", "you", "they", "we")
pronounS = ("he", "she","it")
# In[74]:
import random
# In[75]:
def sentence1():
print(random.choice(Pronoun1),end=" ")
print(random.choice(verb1),end=" ")
print("the",end=" ")
print(random.choice(adj1),end=" ")
print(random.choice(noun1),end=" ")
return"."
# In[82]:
print(sentence1())
Related
I am finding the n-grams using the following function.
from nltk.util import ngrams
booksAfterRemovingStopWords = ['Zombies and Calculus by Colin Adams', 'Zone to Win: Organizing to Compete in an Age of Disruption', 'Zig Zag: The Surprising Path to Greater Creativity']
booksWithNGrams = list()
for line_no, line in enumerate(booksAfterRemovingStopWords):
tokens = line.split(" ")
output = list(ngrams(tokens, 3))
temp = list()
for x in output: # Adding n-grams
temp.append(' '.join(x))
booksWithNGrams.append(temp)
print(booksWithNGrams)
The output looks like:
[['Zombies and Calculus', 'and Calculus by', 'Calculus by Colin', 'by Colin Adams'], ['Zone to Win:', 'to Win: Organizing', 'Win: Organizing to', 'Organizing to Compete', 'to Compete in', 'Compete in an', 'in an Age', 'an Age of', 'Age of Disruption'], ['Zig Zag: The', 'Zag: The Surprising', 'The Surprising Path', 'Surprising Path to', 'Path to Greater', 'to Greater Creativity']]
However, I want no more that three n-grams. I mean I want the output to be like:
[['Zombies and Calculus', 'and Calculus by', 'Calculus by Colin'], ['Zone to Win:', 'to Win: Organizing', 'Win: Organizing to'], ['Zig Zag: The', 'Zag: The Surprising', 'The Surprising Path']]
How can I achieve that?
This is how you'd do it:
Logic:
Just count till three in the loop and break on i>2 (counts i=0,1,2 and breaks).
booksAfterRemovingStopWords = ['Zombies and Calculus by Colin Adams', 'Zone to Win: Organizing to Compete in an Age of Disruption', 'Zig Zag: The Surprising Path to Greater Creativity']
booksWithNGrams = list()
for line_no, line in enumerate(booksAfterRemovingStopWords):
tokens = line.split(" ")
output = list(ngrams(tokens, 3))
temp = list()
for i,x in enumerate(output):# Adding n-grams
if i>2:
break
temp.append(' '.join(x))
booksWithNGrams.append(temp)
i want to get data from this link https://meshb.nlm.nih.gov/treeView
the problem is to get all the tree, we should click on + each time and for each line to get the children node of the tree,
but I want to display all the tree just on one click then i want to copy all the content.
Any ideas, please?
Well, it all depends what you mean by "intelligently". Not sure if that meets the criteria, but you might want to try this.
import json
import string
import requests
abc = string.ascii_uppercase
base_url = "https://meshb.nlm.nih.gov/api/tree/children/"
follow_url = "https://meshb.nlm.nih.gov/record/ui?ui="
tree = {}
for letter in abc[:1]:
res = requests.get(f"{base_url}{letter}").json()
tree[letter] = {
"Records": [i["RecordName"] for i in res],
"FollowURLS": [f"{follow_url}{i['RecordUI']}" for i in res],
}
print(json.dumps(tree, indent=2))
This prints:
{
"A": {
"Records": [
"Body Regions",
"Musculoskeletal System",
"Digestive System",
"Respiratory System",
"Urogenital System",
"Endocrine System",
"Cardiovascular System",
"Nervous System",
"Sense Organs",
"Tissues",
"Cells",
"Fluids and Secretions",
"Animal Structures",
"Stomatognathic System",
"Hemic and Immune Systems",
"Embryonic Structures",
"Integumentary System",
"Plant Structures",
"Fungal Structures",
"Bacterial Structures",
"Viral Structures"
],
"FollowURLS": [
"https://meshb.nlm.nih.gov/record/ui?ui=D001829",
"https://meshb.nlm.nih.gov/record/ui?ui=D009141",
"https://meshb.nlm.nih.gov/record/ui?ui=D004064",
"https://meshb.nlm.nih.gov/record/ui?ui=D012137",
"https://meshb.nlm.nih.gov/record/ui?ui=D014566",
"https://meshb.nlm.nih.gov/record/ui?ui=D004703",
"https://meshb.nlm.nih.gov/record/ui?ui=D002319",
"https://meshb.nlm.nih.gov/record/ui?ui=D009420",
"https://meshb.nlm.nih.gov/record/ui?ui=D012679",
"https://meshb.nlm.nih.gov/record/ui?ui=D014024",
"https://meshb.nlm.nih.gov/record/ui?ui=D002477",
"https://meshb.nlm.nih.gov/record/ui?ui=D005441",
"https://meshb.nlm.nih.gov/record/ui?ui=D000825",
"https://meshb.nlm.nih.gov/record/ui?ui=D013284",
"https://meshb.nlm.nih.gov/record/ui?ui=D006424",
"https://meshb.nlm.nih.gov/record/ui?ui=D004628",
"https://meshb.nlm.nih.gov/record/ui?ui=D034582",
"https://meshb.nlm.nih.gov/record/ui?ui=D018514",
"https://meshb.nlm.nih.gov/record/ui?ui=D056229",
"https://meshb.nlm.nih.gov/record/ui?ui=D056226",
"https://meshb.nlm.nih.gov/record/ui?ui=D056224"
]
}
}
If you want all of it, just remove [:1] from the loop. If there's no entry for a given letter on the page you'll get, well, an empty entry in the dictionary.
Obviously, you can dump the entire response, but that's just a proof of concept.
Try this, some parts are a bit tricky but it manages to give you the tree:
import requests as r
import operator
import string
link = 'https://meshb.nlm.nih.gov/api/tree/children/{}'
all_data = []
for i in string.ascii_uppercase:
all_data.append({'RecordName': i, 'RecordUI': '', 'TreeNumber': i, 'HasChildren': True})
res = r.get(link.format(i))
data_json = res.json()
all_data += data_json
# This request will get all the rest of the data at once, other than A-Z or A..-Z..
# This request takes time to load, depending on your network, it got like 3 million+ characters
res = r.get(link.format('.*'))
data_json = res.json()
all_data += data_json
# Sorting the data depending on the TreeNumber
all_data.sort(key=operator.itemgetter('TreeNumber'))
# Printing the tree using tabulations
for row in all_data:
l = len(row['TreeNumber'])
if l == 3:
print('\t', end='')
elif l > 3:
print('\t'*(len(row['TreeNumber'].split('.'))+1), end='')
print(row['RecordName'])
Is there an API service, paid or not paid (IBM Watson, Google Natural Language), that can accept a free text "ask a question" field and convert it into a set of keywords to be used for a regular keyword search?
For example if my website has a search field "Ask a question about our products", and a user types in "Do you have red dresses?", is there an API we can integrate into our code that can just convert this to "red dress" which we then simply feed into our regular keyword search for "red dress"?
Ideally it can handle variations of questions such as:
"How do you return a product?" -- return product
"Do you accept Mastercard?" -- mastercard
"Where can I find blue shoes?" -- blue shoes
You can extract noun chunks and then use those as keywords.
For example using Spacy, you can extract noun chunks as follows:
import spacy
nlp = spacy.load('en_core_web_md')
def getNounChunks(doc):
inc = ['NN', 'NNP', 'NNPS', 'NNS', 'JJ', 'HYPH']
incn = ['NN', 'NNP', 'NNPS' ,'NNS']
excl = ['other', 'some', 'many', 'certain', 'various']
lspans = []
chunk =[]
for t in doc:
if t.text.lower() in excl:
continue
if chunk:
if chunk[-1].tag_ == 'HYPH':
chunk.append(t)
continue
if t.tag_ in inc:
if t.tag_ != 'JJ':
chunk.append(t)
else:
if not any([t.tag_ in incn for t in chunk]):
chunk.append(t)
else:
if chunk:
if any([t.tag_ in incn for t in chunk]):
lspans.append(doc[chunk[0].i:chunk[-1].i + 1])
chunk = list()
return(lspans)
questions = [
"How do you return a product?" ,
"Do you accept Mastercard?" ,
"Where can I find blue shoes?",
"Do you have red dresses?",]
for q in questions:
doc = nlp(q)
print(getNounChunks(doc))
#output:
#[product]
#[Mastercard]
#[blue shoes]
#[red dresses]
Basically i'm trying to create a multiple choice test that uses information stored inside of lists to change the questions/ answers by location.
so far I have this
import random
DATASETS = [["You first enter the car", "You start the car","You reverse","You turn",
"Coming to a yellow light","You get cut off","You run over a person","You have to stop short",
"in a high speed chase","in a stolen car","A light is broken","The car next to you breaks down",
"You get a text message","You get a call","Your out of gas","Late for work","Driving angry",
"Someone flips you the bird","Your speedometer stops working","Drinking"],
["Put on seat belt","Check your mirrors","Look over your shoulder","Use your turn signal",
"Slow to a safe stop","Relax and dont get upset","Call 911", "Thank your brakes for working",
"Pull over and give up","Ask to get out","Get it fixed","Offer help","Ignore it","Ignore it",
"Get gas... duh","Drive the speed limit","Don't do it","Smile and wave","Get it fixed","Don't do it"],
[''] * 20,
['B','D','A','A','C','A','B','A','C','D','B','C','D','A','D','C','C','B','D','A'],
[''] * 20]
def main():
questions(0)
answers(1)
def questions(pos):
for words in range(len(DATASETS[0])):
DATASETS[2][words] = input("\n" + str(words + 1) + ".)What is the proper procedure when %s" %DATASETS[0][words] +
'\nA.)'+random.choice(DATASETS[1]) + '\nB.)%s' %DATASETS[1][words] + '\nC.)'
+random.choice(DATASETS[1]) + '\nD.)'+random.choice(DATASETS[1])+
"\nChoose your answer carefully: ")
def answers(pos):
for words in range(len(DATASETS[0])):
DATASETS[4] = list(x is y for x, y in zip(DATASETS[2], DATASETS[3]))
print(DATASETS)
I apologize if the code is crude to some... i'm in my first year of classes and this is my first bout of programming.
list 3 is my key for the right answer's, I want my code in questions() to change the position of the correct answer so that it correlates to the key provided....
I've tried for loops, if statements and while loops but just cant get it to do what I envision. Any help is greatly appreciated
tmp = "\n" + str(words + 1) + ".)What is the proper procedure when %s" %DATASETS[0][words] + '\nA.)'
if DATASETS[3][words] == 'A': #if the answer key is A
tmp = tmp + DATASETS[1][words] #append the first choice as correct choice
else:
tmp = tmp + random.choice(DATASETS[1]) #if not, randomise the choice
Do similar if-else for 'B', 'C', and 'D'
Once your question is formulated, then you can use it:
DATASETS[2][words] = input(tmp)
This is a bit long but I am not sure if any shorter way exists.
`list1 = ["Arizona","Atlanta","Baltimore","Buffalo","Carolina","Chicago",
"Cincinnati","Cleveland","Dallas","Denver","Detroit","Green Bay","Houston",
"Indianapolis","Jacksonville","Kansas City","L.A. Chargers","L.A. Rams",
"Miami","Minnesota","New England","New Orleans","NY Giants","NY Jets",
"Oakland","Philadelphia","Pittsburgh","San Francisco","Seattle",
"Tampa Bay","Tennessee","Washington"]
a = "New Orleans at Oakland"
k = a.find("at")
print (k)
for n in range(0,31):
# b = list1[n]
# print(b[0:k-1]+" "+a[0:k-1])
idx = a.find(list1[n], 0, k-1)
if idx > 0:
print(n)
break
print ("awa team at index" + str(n+1))
for n in range(0,31):
idx = a.find(list1[n], k+2, len(a))
if idx > 0:
print(n)
break
print ("hom team at index" + str(n+1))`
I just started python 2 days ago and I cannot get this to work completely. The program finds the team in the second for loop correctly, but doesn't find the team in the first for loop. I put in the statements that are commented out to see if the strings were somehow truncated, but they are correct. Can anyone tell me what is wrong here?
There's no need to brute force the search. Python has methods that accomplish what you need.
list1 = ["Arizona", "Atlanta", "Baltimore", "Buffalo", "Carolina", "Chicago",
"Cincinnati", "Cleveland", "Dallas", "Denver", "Detroit", "Green Bay", "Houston",
"Indianapolis", "Jacksonville", "Kansas City", "L.A. Chargers", "L.A. Rams",
"Miami", "Minnesota", "New England", "New Orleans", "NY Giants", "NY Jets",
"Oakland", "Philadelphia", "Pittsburgh", "San Francisco", "Seattle",
"Tampa Bay", "Tennessee", "Washington"]
a = "New Orleans at Oakland"
# Create a list of the teams involved in the game
teams = a.split(" at ")
# Iterate through the teams involved in the game
for team in teams:
# The index() method returns the lowest index in list that obj appears
index = list1.index(team)
# If the the team was found then index is valid
if index:
print(index)
print(list1[index])
if you just want to have the index, you can use the .index() you do not have to "loop"
Example code:
list1 = ["Arizona","Atlanta","Baltimore","Buffalo","Carolina","Chicago",
"Cincinnati","Cleveland","Dallas","Denver","Detroit","Green Bay","Houston",
"Indianapolis","Jacksonville","Kansas City","L.A. Chargers","L.A. Rams",
"Miami","Minnesota","New England","New Orleans","NY Giants","NY Jets",
"Oakland","Philadelphia","Pittsburgh","San Francisco","Seattle",
"Tampa Bay","Tennessee","Washington"]
a = "New Orleans at Oakland"
a = a.split(' at ')
idx_home_team = list1.index(a[0])
idx_away_team = list1.index(a[1])
print(idx_home_team, idx_away_team)