`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)
Related
kanji = ['上','下','大','工','八','入','山','口','九','一','人','力','川','七','十','三','二','女',]
reading = ['じょう','か','たい','こう','はち','にゅう','さん','こう','く','いち','にん','りょく','かわ','しち','じゅう','さん','に','じょ']
definition = ['above','below','big','construction','eight','enter','mountain','mouth','nine','one','person','power','river','seven','ten','three','two','woman']
score = number_of_questions = kanji_item = 0
def question_format(prompt_type,lang,solution_selection):
global reading,definition,score,num_of_questions,kanji_item
question_prompt = 'What is the '+str(prompt_type)+' for "'+str(kanji[kanji_item])+'"? (Keyboard:'+str(lang)+')\n'
solution_selection = [reading,definition]
usr = input(question_prompt)
if usr in solution_selection[kanji_item] and kanji[kanji_item]:
score += 1
num_of_questions += 1
else:
pass
kanji_item += 1
while number_of_questions != 18:
question_format('READING','Japanese',[0])
print('You got ',score,'/',number_of_questions)
while number_of_questions != 36:
question_format('DEFINITION','English',[1])
print('You got ',score,'/',number_of_questions)
I can't get past 大. but I can't see where it's messing up. I've tried to change pretty much everything. "kanji_item" is supposed to give a common index number so that the answers can match up. It gets through the first two problems with no hassle, but for some reason refuses to accept my third problem.
Problems:
- wrong name using number_of_questions vs. num_of_questions
- wrong way to check truthyness if usr in solution_selection[kanji_item] and kanji[kanji_item]: - the last part is always True as it is a non empty string
- lots of globals wich is not considered very good style
It would be easier to zip your three list together so you get tuples of (kanji, reading, description) and feed 2 of those into your function depending on what you want to test. You do this 2 times, once for reading, once for description.
You can even randomize your list of tuples to get different "orders" in which questions are asked:
kanji = ['上', '下', '大', '工', '八', '入', '山', '口', '九', '一' , '人',
'力', '川', '七', '十', '三', '二', '女',]
reading = ['じょう', 'か', 'たい', 'こう', 'はち', 'にゅう', 'さん', 'こう', 'く',
'いち', 'にん', 'りょく', 'かわ', 'しち', 'じゅう', 'さん', 'に', 'じょ']
definition = ['above', 'below', 'big', 'construction', 'eight', 'enter', 'mountain',
'mouth', 'nine', 'one', 'person', 'power', 'river', 'seven', 'ten', 'three',
'two', 'woman']
import random
data = list(zip(kanji, reading, definition))
random.shuffle(data)
def question_format(prompt_type, lang, kanji, solution):
"""Creates a question about *kanji* - the correct answer is *solution*
Returns 1 if correct else 0."""
question_prompt = f'What is the {prompt_type} for {kanji}? (Keyboard: {lang})'
usr = input(question_prompt)
if usr == solution:
return 1
else:
return 0
questions_asked = 0
correct = 0
for (kanji, reading, _) in data:
correct += question_format('READING','Japanese', kanji, reading)
questions_asked += 1
print('You got ',correct,'/',questions_asked)
for (kanji, _, definition) in data:
correct += question_format('DEFINITION','ENGLISH', kanji, definition)
questions_asked += 1
print('You got ',correct,'/',questions_asked)
After zipping our list and shuffling them data looks like
[('山', 'さん', 'mountain'), ('女', 'じょ', 'woman'), ('力', 'りょく', 'power'),
('上', 'じょう', 'above'), ('九', 'く', 'nine'), ('川', 'かわ', 'river'),
('入', 'にゅう', 'enter'), ('三', 'さん', 'three'), ('口', 'こう', 'mouth'),
('二', 'に', 'two'), ('人', 'にん', 'person'), ('七', 'しち', 'seven'),
('一', 'いち', 'one'), ('工', 'こう', 'construction'), ('下', 'か', 'below'),
('八', 'はち', 'eight'), ('十', 'じゅう', 'ten'), ('大', 'たい', 'big')]
I have some names and scores as follows
input = {
'Maths': dict(Mohsen=19, Sadegh=18, Hafez=15),
'Physics': dict(Sadegh=16, Hafez=17, Mohsen=17),
'Chemistry': dict(Hafez=13),
'Literature': dict(Sadegh=14),
'Biology': dict(Mohsen=16, Sadegh=10),
}
if a person don't have any lesson its score consider zero also get avrege of scores's person and sort final list by averge and i want to get an output like this.
answer = [
dict(Name='Sadegh', Literature=14, Chemistry=0, Maths=18, Physics=16, Biology=10, Average=11.6),
dict(Name='Mohsen', Maths=19, Physics=17, Chemistry=0, Biology=16, Literature=0, Average=10.4),
dict(Name='Hafez', Chemistry=13, Biology=0, Physics=17, Literature=0, Maths=15, Average=9),
]
how to do it?
Essentially, you have a dictionary, where the information is arranged based on subjects, where for each subject, you have student marks. You want to collection all information related to each student in separate dictionaries.
One of the approaches which can try, is as below:
Try converting the data which you have into student specific data and then you can calculate the Average of the Marks of all subjects for that student. There is a sample code below.
Please do note that, this is just a sample and you should be trying
out a solution by yourself. There are many alternate ways of doing it and you should explore them by yourself.
The below code works with Python 2.7
from __future__ import division
def convert_subject_data_to_student_data(subject_dict):
student_dict = {}
for k, v in subject_dict.items():
for k1, v1 in v.items():
if k1 not in student_dict:
student_dict[k1] = {k:v1}
else:
student_dict[k1][k] = v1
student_list = []
for k,v in student_dict.items():
st_dict = {}
st_dict['Name'] = k
st_dict['Average'] = sum(v.itervalues()) / len(v.keys())
st_dict.update(v)
student_list.append(st_dict)
print student_list
if __name__ == "__main__":
subject_dict = {
'Maths': dict(Mohsen=19, Sadegh=18, Hafez=15),
'Physics': dict(Sadegh=16, Hafez=17, Mohsen=17),
'Chemistry': dict(Hafez=13),
'Literature': dict(Sadegh=14),
'Biology': dict(Mohsen=16, Sadegh=10),
}
convert_subject_data_to_student_data(subject_dict)
sample_input = {
'Maths': dict(Mohsen=19, Sadegh=18, Hafez=15),
'Physics': dict(Sadegh=16, Hafez=17, Mohsen=17),
'Chemistry': dict(Hafez=13),
'Literature': dict(Sadegh=14),
'Biology': dict(Mohsen=16, Sadegh=10),
}
def foo(lessons):
result = {}
for lesson in lessons:
for user in lessons[lesson]:#dictionary
if result.get(user):
#print(result.get(user))
result.get(user).setdefault(lesson, lessons[lesson].get(user,0))
else:
result.setdefault(user, dict(name=user))
result.get(user).setdefault(lesson,lessons[lesson].get(user,0))
#return list(result.values())
return result.values()
#if name == '__main__':
print(foo(sample_input))
Got news feeds crawled by webhoseio. Now need to delete the duplicated titles. Below are my codes. Something must be wrong because the output still has duplicated titles. Please help find the problem. Thanks.
count_dup = 0
for j in range(0,len(feeds)):
SELECTED_INDEX = j
feed_sel = feeds[SELECTED_INDEX]
#print(feed_sel['title'])
feed_hash = Simhash(str(feed_sel['title']))
dup_indices = index.get_near_dups(feed_hash)
#print("Number of duplicates (SimHash): " + str(len(dup_indices)))
for dupi in dup_indices:
try:
score = calc_similarity(feed_sel['title'], feeds[int(dupi)]['title'], model_word2vec)
except:
score = 0
if score > 0.85:
if feeds[int(dupi)]['id'] == j:
print(feeds[int(dupi)]['id'], feeds[int(dupi)]['title'])
else:
feeds.pop(feeds[int(dupi)]['id'] - count_dup)
count_dup += 1
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.
I have a simple data entry form that writes the inputs to a csv file. Everything seems to be working ok, except that there are extra columns being added to the file in the process somewhere, seems to be during the user input phase. Here is the code:
import pandas as pd
#adds all spreadsheets into one list
Batteries= ["MAT0001.csv","MAT0002.csv", "MAT0003.csv", "MAT0004.csv",
"MAT0005.csv", "MAT0006.csv", "MAT0007.csv", "MAT0008.csv"]
#User selects battery to log
choice = (int(input("Which battery? (1-8):")))
def choosebattery(c):
done = False
while not done:
if(c in range(1,9)):
return Batteries[c]
done = True
else:
print('Sorry, selection must be between 1-8')
cfile = choosebattery(choice)
cbat = pd.read_csv(cfile)
#Collect Cycle input
print ("Enter Current Cycle")
response = None
while response not in {"Y", "N", "y", "n"}:
response = input("Please enter Y or N: ")
cy = response
#Charger input
print ("Enter Current Charger")
response = None
while response not in {"SC-G", "QS", "Bosca", "off", "other"}:
response = input("Please enter one: 'SC-G', 'QS', 'Bosca', 'off', 'other'")
if response == "other":
explain = input("Please explain")
ch = response + ":" + explain
else:
ch = response
#Location
print ("Enter Current Location")
response = None
while response not in {"Rack 1", "Rack 2", "Rack 3", "Rack 4", "EV001", "EV002", "EV003", "EV004", "Floor", "other"}:
response = input("Please enter one: 'Rack 1 - 4', 'EV001 - 004', 'Floor' or 'other'")
if response == "other":
explain = input("Please explain")
lo = response + ":" + explain
else:
lo = response
#Voltage
done = False
while not done:
choice = (float(input("Enter Current Voltage:")))
modchoice = choice * 10
if(modchoice in range(500,700)):
vo = choice
done = True
else:
print('Sorry, selection must be between 50 and 70')
#add inputs to current battery dataframe
log = pd.DataFrame([[cy,ch,lo,vo]],columns=["Cycle", "Charger", "Location", "Voltage"])
clog = pd.concat([cbat,log], axis=0)
clog.to_csv(cfile, index = False)
pd.read_csv(cfile)
And I receive:
Out[18]:
Charger Cycle Location Unnamed: 0 Voltage
0 off n Floor NaN 50.0
Where is the "Unnamed" column coming from?
There's an 'unnamed' column coming from your csv. The reason most likely is that the lines in your input csv files end with a comma (i.e. your separator), so pandas interprets that as an additional (nameless) column. If that's the case, check whether your lines end with your separator. For example, if your files are separated by commas:
Column1,Column2,Column3,
val_11, val12, val12,
...
Into:
Column1,Column2,Column3
val_11, val12, val12
...
Alternatively, try specifying the index column explicitly as in this answer. I believe some of the confusion stems from pandas concat reordering your columns .