def main():
select=1
print("* * * Welcome To The Album Store!!! * * * ")
#We Can Select menu
while select != 0:
print("\n 1.List of Album\n","2.Modify Album\n","3.Search Album\n","0.EXIT")
select =int( input("\n please select contents: "))
if select == 1 :
r=read()
r.list()
elif select ==2 :
print("\n 1.Add Album\n","2.Modify Album\n","3.Delete Album\n","0.BacK")
inselect =int(input("\n please select contents: "))
if inselect ==1 :
w.addAlbum()
elif inselect ==2 :
w.modifyAlbum()
elif inselect == 3:
w.deleteAlbum()
elif select ==3 :
r=read()
print("\n 1.Search With Singer\n","2.Search With Genre\n","0.BacK")
inselect =int(input("\n please select contents: "))
if inselect ==1 :
r.searchwithSingername()
elif inselect ==2 :
r.searchwithgenre()
def see_question_answers(request, question):
#load csv
df = utils.get_whole_survey()
#load questionchoices txt
file2_ = open(
os.path.join(settings.BASE_DIR, 'clusters/RSQquestionchoices.txt'))
dic_source = rt.read(file2_)
about = dic_source['about']
questions_txt = dic_source['questions']
file2_.close()
charts = []
try:
chart = get_question_chart(df, questions_txt[question])
charts.append(chart)
except KeyError:
question_obj = questions_txt[question]
choices = question_obj.choices
letters = choices.keys()
for letter in letters:
try:
chart = get_question_chart(df,
question_obj,
letter=letter,
choice=choices[letter])
charts.append(chart)
except KeyError:
continue
context = {
'charts': charts,
'question': question,
'about': about,
}
return render(request, 'clusters/question.html', context)
def group_compare(request):
cluster = get_object_or_404(Cluster, pk=3)
#load csv into pandas.DataFrame
dic = rc.filter_by_cluster(utils.get_whole_survey(), cluster)
df = dic['df']
size_str = "%d / %d" % (len(df.index), dic['orig_size'])
clusters_dict = clustering.get_subclusters_length(cluster, dic['df'])
#load questions textfile into list
file2_ = open(
os.path.join(settings.BASE_DIR, 'clusters/RSQquestionchoices.txt'))
dic_source = rt.read(file2_)
about = dic_source['about']
questions_txt = dic_source['questions']
file2_.close()
#get cluster questions as strings
questions_strs = get_questions_as_str(questions_txt)
#get charts
charts = get_charts(df, questions_txt, cluster, 'a')
context = {
'cluster': cluster,
'charts': charts,
#'compare_chart': compare_chart,
'df_size': size_str, #no of rows in df
'questions_strs': questions_strs,
'about': about,
'subcluster_values': list(clusters_dict.values()),
'num_of_clusters': cluster.num_of_clusters,
'compare': False,
}
return render(request, 'clusters/group_compare.html', context)
def get_questions_txt():
global SURVEYTXT
if SURVEYTXT is None:
with open(
os.path.join(settings.BASE_DIR,
'clusters/RSQquestionchoices.txt')) as f:
SURVEYTXT = rt.read(f)
return SURVEYTXT
def get_wards():
""" follows singleton design pattern, loads from file only if WARD is empty """
global WARD
if bool(WARD) == False:
with open(
os.path.join(settings.BASE_DIR,
'clusters/RSQquestionchoices.txt')) as f:
dic_source = rt.read(f)
WARD = dic_source['questions']['WARD'].choices
return WARD
def survey_questions(request):
#load csv
df = utils.get_whole_survey()
#load questionchoices txt
file2_ = open(
os.path.join(settings.BASE_DIR, 'clusters/RSQquestionchoices.txt'))
dic_source = rt.read(file2_)
about = dic_source['about']
questions_txt = dic_source['questions']
file2_.close()
context = {
'questions': questions_txt.values(),
'about': about,
}
return render(request, 'clusters/survey.html', context)
def json1(request, cluster_id, subcluster_id):
""" used for map """
cluster = get_object_or_404(Cluster, pk=cluster_id)
#load csv into pandas.DataFrame
dic = rc.filter_by_cluster(utils.get_whole_survey(), cluster)
df = dic['df']
if subcluster_id != 'a':
df = clustering.get_subclusters(cluster, df)[int(subcluster_id)]
#load questions textfile into list
file2_ = open(
os.path.join(settings.BASE_DIR, 'clusters/RSQquestionchoices.txt'))
dic_source = rt.read(file2_)
about = dic_source['about']
questions_txt = dic_source['questions']
file2_.close()
output = rc2.get_data_for_map(df, questions_txt['WARD'])
return JsonResponse(output, safe=False)
def detail(request, cluster_id):
cluster = get_object_or_404(Cluster, pk=cluster_id)
#load csv into pandas.DataFrame
dic = rc.filter_by_cluster(utils.get_whole_survey(), cluster)
df = dic['df']
group_size = len(df.index)
survey_size = dic['orig_size']
if group_size == 0:
return render(request, 'clusters/emptygroup.html',
{'cluster': cluster})
clusters_dict = clustering.get_subclusters_length(cluster, dic['df'])
#load questions textfile into list
file2_ = open(
os.path.join(settings.BASE_DIR, 'clusters/RSQquestionchoices.txt'))
dic_source = rt.read(file2_)
file2_.close()
about = dic_source['about']
questions_txt = dic_source['questions']
#get cluster questions as strings
questions_strs = get_questions_as_str(questions_txt)
#get charts
charts = get_charts(df, questions_txt, cluster, 'a')
context = {
'cluster': cluster,
'subcluster_id': 'a',
'charts': charts,
'group_size': group_size, #no of rows in df
'survey_size': survey_size,
'questions_strs': questions_strs,
'about': about,
'subcluster_values': list(clusters_dict.values()),
'num_of_clusters': cluster.num_of_clusters,
'compare': False,
}
return render(request, 'clusters/detail.html', context)
def subcluster_detail(request, cluster_id, subcluster_id):
cluster = get_object_or_404(Cluster, pk=cluster_id)
#load csv into pandas.DataFrame
dic = rc.filter_by_cluster(utils.get_whole_survey(), cluster)
df = dic['df']
df = clustering.get_subclusters(cluster, df)[0] #dicitonary
size_str = "%d / %d" % (len(df.index), dic['orig_size'])
clusters_dict = clustering.get_subclusters_length(cluster, dic['df'])
#load questions textfile into list
file2_ = open(
os.path.join(settings.BASE_DIR, 'clusters/RSQquestionchoices.txt'))
dic_source = rt.read(file2_)
about = dic_source['about']
questions_txt = dic_source['questions']
file2_.close()
#get cluster questions as strings
questions_strs = get_questions_as_str(questions_txt)
#get charts
charts = get_charts(df, questions_txt, cluster, subcluster_id)
context = {
'cluster': cluster,
'subcluster_id': subcluster_id,
'charts': charts,
'group_size': len(df.index), #no of rows in df
'survey_size': dic['orig_size'],
'questions_strs': questions_strs,
'about': about,
'subcluster_values': list(clusters_dict.values()),
'num_of_clusters': cluster.num_of_clusters,
'issubcluster': True,
}
return render(request, 'clusters/detail.html', context)
'''
Created on 2019. 12. 4.
@author: KMU_USER
'''
from readtxt import read
r = read()
class write:
def modifyAlbum(self):
print(r.bar)
albumname = input("\nPlease enter Album's Name Want To Modify : ")
modifyed = 0
for num in r.index:
if albumname.upper() == num[0].upper():
modifyAlbumname = input("Enter the New Album Name: ")
modifyAlbuumsinger = input("Enter the New Album Singer: ")
modifyAlbumgenre = input("Enter the New Album Genre: ")
num[0] = modifyAlbumname
num[1] = modifyAlbuumsinger
num[2] = modifyAlbumgenre.upper()
modifyed = 1
print(r.bar)
if modifyed == 1:
print("\nSuccessfully Modified!!!")
else:
print("\nSorry!i Can't Find Album has that name!!!\n")