From 1ba6f721ae913d6863d6ecf5cacfb5bdc649733d Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 18 Jan 2019 04:36:57 +0000
Subject: [PATCH 1/6] Done

---
 __pycache__/__init__.cpython-36.pyc             | Bin 135 -> 153 bytes
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 534 -> 624 bytes
 q01_Unique_users_subreddit/build.py             |  15 ++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 186 bytes
 .../tests/__pycache__/test.cpython-36.pyc       | Bin 0 -> 1390 bytes
 6 files changed, 14 insertions(+), 1 deletion(-)
 create mode 100644 q01_Unique_users_subreddit/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_Unique_users_subreddit/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_Unique_users_subreddit/tests/__pycache__/test.cpython-36.pyc

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diff --git a/q01_Unique_users_subreddit/build.py b/q01_Unique_users_subreddit/build.py
index 82fe7e5..a8e9d31 100644
--- a/q01_Unique_users_subreddit/build.py
+++ b/q01_Unique_users_subreddit/build.py
@@ -1,7 +1,20 @@
+# %load q01_Unique_users_subreddit/build.py
 import pandas as pd
 import numpy as np
 from sklearn.model_selection import train_test_split
 
 
-def q01_Unique_users_subreddit():
+def q01_Unique_users_subreddit(path):
+    
+    df = pd.read_csv(path, compression='zip')
+    variable1 = len(df['username'].unique())
+    variable2 = len(df['subreddit'].unique())
+    
+    return df,variable1, variable2
+
+
+path = 'data/subreddit-interactions-for-25000-users.zip'
+q01_Unique_users_subreddit(path)
+
+
 
diff --git a/q01_Unique_users_subreddit/tests/__pycache__/__init__.cpython-36.pyc b/q01_Unique_users_subreddit/tests/__pycache__/__init__.cpython-36.pyc
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From d86895fd58cc75926c80f607a1e10c4371a3009d Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 18 Jan 2019 12:17:12 +0000
Subject: [PATCH 2/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 182 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 479 -> 1147 bytes
 q02_top_subreddits_wordcloud/build.py         |  26 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 188 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 0 -> 1195 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 187 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 850 bytes
 q03_plot_topK_subreddit_of_a_user/build.py    |  12 +++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 193 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 0 -> 1240 bytes
 10 files changed, 36 insertions(+), 2 deletions(-)
 create mode 100644 q02_top_subreddits_wordcloud/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_top_subreddits_wordcloud/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_top_subreddits_wordcloud/tests/__pycache__/test.cpython-36.pyc
 create mode 100644 q03_plot_topK_subreddit_of_a_user/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_plot_topK_subreddit_of_a_user/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_plot_topK_subreddit_of_a_user/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_plot_topK_subreddit_of_a_user/tests/__pycache__/test.cpython-36.pyc

diff --git a/q02_top_subreddits_wordcloud/__pycache__/__init__.cpython-36.pyc b/q02_top_subreddits_wordcloud/__pycache__/__init__.cpython-36.pyc
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diff --git a/q02_top_subreddits_wordcloud/build.py b/q02_top_subreddits_wordcloud/build.py
index ead5d42..899a6da 100644
--- a/q02_top_subreddits_wordcloud/build.py
+++ b/q02_top_subreddits_wordcloud/build.py
@@ -1,3 +1,4 @@
+# %load q02_top_subreddits_wordcloud/build.py
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
@@ -5,6 +6,29 @@
 from sklearn.model_selection import train_test_split
 from greyatomlib.recommendor_system_project.q01_Unique_users_subreddit.build import q01_Unique_users_subreddit
 
-def q02_top_subreddits_wordcloud():
+def q02_top_subreddits_wordcloud(path):
+    
+    # importing data
+    df, u_user, u_subreddit = q01_Unique_users_subreddit(path)
+    # Generating a DataFrame that comprise count of each username  by subreddit
+    df_count_subreddit = df.groupby('subreddit')['username'].count().reset_index().sort_values('username',ascending = False)
+    # setting subreddit name as index of dataframe
+    df_count_subreddit.index = df_count_subreddit['subreddit']
+    df_count_subreddit.drop('subreddit', inplace = True,axis = 1)
+    #creating dictionary of dataframe where key is subreddit name and value is frequency of particular subreddit
+    d = df_count_subreddit.to_dict()['username']
+    # creating object of wordCloud
+    wordcloud = WordCloud()
+    # generating wordcloud with frequencies store in dictionary
+    wordcloud.generate_from_frequencies(frequencies=d)
+    plt.figure()
+    plt.imshow(wordcloud, interpolation='bilinear')
+    plt.axis('off')
+    plt.show()
+
+
+path = 'data/subreddit-interactions-for-25000-users.zip'
+q02_top_subreddits_wordcloud(path)
+ls
 
 
diff --git a/q02_top_subreddits_wordcloud/tests/__pycache__/__init__.cpython-36.pyc b/q02_top_subreddits_wordcloud/tests/__pycache__/__init__.cpython-36.pyc
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diff --git a/q03_plot_topK_subreddit_of_a_user/build.py b/q03_plot_topK_subreddit_of_a_user/build.py
index 59a1799..9993eb8 100644
--- a/q03_plot_topK_subreddit_of_a_user/build.py
+++ b/q03_plot_topK_subreddit_of_a_user/build.py
@@ -1,8 +1,18 @@
+# %load q03_plot_topK_subreddit_of_a_user/build.py
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
 from sklearn.model_selection import train_test_split
 from greyatomlib.recommendor_system_project.q01_Unique_users_subreddit.build import q01_Unique_users_subreddit
 
-def q03_plot_topK_subreddit_of_a_user():
+def q03_plot_topK_subreddit_of_a_user(path, user='kabanossi', k= 14):
     
+    df, u_user, u_subreddit = q01_Unique_users_subreddit(path)
+    df1= df.groupby('subreddit')['username'].count().reset_index().sort_values('username',ascending=False)
+    df1['percentage'] = df1['username'].apply(lambda value: (float(value)/total_user)*100)
+    return df1[:k]
+
+path = 'data/subreddit-interactions-for-25000-users.zip'
+q03_plot_topK_subreddit_of_a_user(path, user='kabanossi', k= 14)
+
+
diff --git a/q03_plot_topK_subreddit_of_a_user/tests/__pycache__/__init__.cpython-36.pyc b/q03_plot_topK_subreddit_of_a_user/tests/__pycache__/__init__.cpython-36.pyc
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diff --git a/q03_plot_topK_subreddit_of_a_user/tests/__pycache__/test.cpython-36.pyc b/q03_plot_topK_subreddit_of_a_user/tests/__pycache__/test.cpython-36.pyc
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From 20a4f0d389d5bafb188bfd0eb088e505f3a67f12 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 18 Jan 2019 12:29:49 +0000
Subject: [PATCH 3/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 167 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 713 bytes
 q04_weightage/build.py                        |  20 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 173 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 0 -> 1254 bytes
 5 files changed, 19 insertions(+), 1 deletion(-)
 create mode 100644 q04_weightage/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_weightage/__pycache__/build.cpython-36.pyc
 create mode 100644 q04_weightage/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_weightage/tests/__pycache__/test.cpython-36.pyc

diff --git a/q04_weightage/__pycache__/__init__.cpython-36.pyc b/q04_weightage/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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GIT binary patch
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diff --git a/q04_weightage/__pycache__/build.cpython-36.pyc b/q04_weightage/__pycache__/build.cpython-36.pyc
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diff --git a/q04_weightage/build.py b/q04_weightage/build.py
index f7c9792..7fe61f7 100644
--- a/q04_weightage/build.py
+++ b/q04_weightage/build.py
@@ -1,6 +1,24 @@
+# %load q04_weightage/build.py
 import pandas as pd
 import numpy as np
 from sklearn.model_selection import train_test_split
 from greyatomlib.recommendor_system_project.q01_Unique_users_subreddit.build import q01_Unique_users_subreddit
 
-def q04_weightage():
+def q04_weightage(path):
+    
+    df, u_user, u_subreddit = q01_Unique_users_subreddit(path)
+    # minimum value in utc
+    mininum = min(df['utc'])
+    #maximum value in utc for normalization
+    maximum = max(df['utc'])
+    
+    # creating weight column
+    df['weight'] = ((df['utc'] - mininum)+1)/maximum
+    
+    return df
+    
+
+path = 'data/subreddit-interactions-for-25000-users.zip'
+q04_weightage(path)
+
+
diff --git a/q04_weightage/tests/__pycache__/__init__.cpython-36.pyc b/q04_weightage/tests/__pycache__/__init__.cpython-36.pyc
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From 6d0f81323a0fa220555ac72004931d92161bca5c Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Fri, 18 Jan 2019 12:53:51 +0000
Subject: [PATCH 4/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 181 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 678 bytes
 q05_groupby_users_subreddit/build.py             |  12 +++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 187 bytes
 .../tests/__pycache__/test.cpython-36.pyc        | Bin 0 -> 1555 bytes
 5 files changed, 11 insertions(+), 1 deletion(-)
 create mode 100644 q05_groupby_users_subreddit/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q05_groupby_users_subreddit/__pycache__/build.cpython-36.pyc
 create mode 100644 q05_groupby_users_subreddit/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q05_groupby_users_subreddit/tests/__pycache__/test.cpython-36.pyc

diff --git a/q05_groupby_users_subreddit/__pycache__/__init__.cpython-36.pyc b/q05_groupby_users_subreddit/__pycache__/__init__.cpython-36.pyc
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diff --git a/q05_groupby_users_subreddit/__pycache__/build.cpython-36.pyc b/q05_groupby_users_subreddit/__pycache__/build.cpython-36.pyc
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diff --git a/q05_groupby_users_subreddit/build.py b/q05_groupby_users_subreddit/build.py
index 556dbc4..766336a 100644
--- a/q05_groupby_users_subreddit/build.py
+++ b/q05_groupby_users_subreddit/build.py
@@ -1,7 +1,17 @@
+# %load q05_groupby_users_subreddit/build.py
 import pandas as pd
 import numpy as np
 from sklearn.model_selection import train_test_split
 from greyatomlib.recommendor_system_project.q04_weightage.build import q04_weightage
 
-def q05_groupby_users_subreddit():
+def q05_groupby_users_subreddit(path):
+    
+    df = q04_weightage(path)
+    df1 = df.groupby(['username','subreddit'])['weights'].sum().reset_index()
+    
+    return df1
+
+path = 'data/subreddit-interactions-for-25000-users.zip'
+q05_groupby_users_subreddit(path)
+
 
diff --git a/q05_groupby_users_subreddit/tests/__pycache__/__init__.cpython-36.pyc b/q05_groupby_users_subreddit/tests/__pycache__/__init__.cpython-36.pyc
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From 47beffd5a88b2ec1d138c8ef3fac01e07661afbc Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 21 Jan 2019 05:37:26 +0000
Subject: [PATCH 5/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 168 bytes
 q06_similarity/__pycache__/build.cpython-36.pyc  | Bin 0 -> 1064 bytes
 q06_similarity/build.py                          |   6 +++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 174 bytes
 .../tests/__pycache__/test.cpython-36.pyc        | Bin 0 -> 2428 bytes
 q06_similarity/tests/test_sol.pkl                | Bin 0 -> 81 bytes
 q06_similarity/tests/user_sol.pkl                | Bin 0 -> 69 bytes
 7 files changed, 5 insertions(+), 1 deletion(-)
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 create mode 100644 q06_similarity/__pycache__/build.cpython-36.pyc
 create mode 100644 q06_similarity/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q06_similarity/tests/__pycache__/test.cpython-36.pyc
 create mode 100644 q06_similarity/tests/test_sol.pkl
 create mode 100644 q06_similarity/tests/user_sol.pkl

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diff --git a/q06_similarity/build.py b/q06_similarity/build.py
index 387e3b0..547e5c9 100644
--- a/q06_similarity/build.py
+++ b/q06_similarity/build.py
@@ -1,3 +1,4 @@
+# %load q06_similarity/build.py
 
 import pandas as pd
 import numpy as np
@@ -6,7 +7,7 @@
 from greyatomlib.recommendor_system_project.q05_groupby_users_subreddit.build import q05_groupby_users_subreddit
 
 def q06_similarity(path, kind='subreddit', similarity_function=cosine_similarity):
-    "write your solution here"
+    'write your solution here'
     df = q05_groupby_users_subreddit(path)
     df01 = df.iloc[:100,:]
     matrix= df01.pivot_table(values='weights',columns='subreddit',index='username')
@@ -22,3 +23,6 @@ def q06_similarity(path, kind='subreddit', similarity_function=cosine_similarity
 
 a = q06_similarity('data/subreddit-interactions-for-25000-users.zip')
 print(a)
+
+
+
diff --git a/q06_similarity/tests/__pycache__/__init__.cpython-36.pyc b/q06_similarity/tests/__pycache__/__init__.cpython-36.pyc
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From d93f89e1923aad652706f359af0147b9eafeb8a2 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 21 Jan 2019 05:40:08 +0000
Subject: [PATCH 6/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 155 -> 173 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 1491 -> 1509 bytes
 q07_recommendations/build.py                  |   7 ++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 161 -> 179 bytes
 .../tests/__pycache__/test.cpython-36.pyc     | Bin 1817 -> 1835 bytes
 5 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/q07_recommendations/__pycache__/__init__.cpython-36.pyc b/q07_recommendations/__pycache__/__init__.cpython-36.pyc
index 6fe9d54f7238d290893446b11b1a71dfd848714d..b6a5c34238f6d0f4af730dfcc5e48c2cffcc5103 100644
GIT binary patch
delta 52
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G*AD=U;t=Bi

delta 34
pcmZ3>IGd5fn3tF9;OnsHi5%v99{L&ixvBa|8KuP;iFp&_{Q$Ox3tIpH

diff --git a/q07_recommendations/__pycache__/build.cpython-36.pyc b/q07_recommendations/__pycache__/build.cpython-36.pyc
index 5e2b99a4b34e86eaf886e03745d6e9b287f31e21..b4fabcd396b7feffeb11eee48b490dc3b003123b 100644
GIT binary patch
delta 100
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delta 96
zcmaFLeVLofn3tEU=wn#)Pv(tWrc8XU`WgATsrpG7rNtSEd6VOroVbM;7#NCyn4wB_
tvOlx@<kL*$jKY(hnb$CiO#Z<9pOJm?2bM>|j38B9K!SsjgOLXWnE*?P7$g7y

diff --git a/q07_recommendations/build.py b/q07_recommendations/build.py
index f3ed7f3..3b1d9f2 100644
--- a/q07_recommendations/build.py
+++ b/q07_recommendations/build.py
@@ -1,3 +1,4 @@
+# %load q07_recommendations/build.py
 import pandas as pd
 import numpy as np
 from sklearn.model_selection import train_test_split
@@ -5,7 +6,7 @@
 from greyatomlib.recommendor_system_project.q06_similarity.build import q06_similarity
 
 def q07_recommendations(path, user='--ANUSTART-', similarity_function=cosine_similarity, kind='subreddit', number=5):
-    "write your solution here"
+    'write your solution here'
     new_df, matrix = q06_similarity(path, kind='subreddit', similarity_function=cosine_similarity)
     final_dict = dict()
     sorted_sub = matrix.loc[user,:].sort_values(ascending=False).index
@@ -19,3 +20,7 @@ def q07_recommendations(path, user='--ANUSTART-', similarity_function=cosine_sim
     final = [x[0] for x in sorted_dict]
     recommend = [x for x in final if matrix.loc[user,x]==0.0]
     return recommend[0:number]
+
+
+
+
diff --git a/q07_recommendations/tests/__pycache__/__init__.cpython-36.pyc b/q07_recommendations/tests/__pycache__/__init__.cpython-36.pyc
index 9328f6934fa64c6d488fc03a92138a52774dabe3..d5af7c897f3f104eb07c81af24253b134e66493a 100644
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delta 52
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delta 34
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diff --git a/q07_recommendations/tests/__pycache__/test.cpython-36.pyc b/q07_recommendations/tests/__pycache__/test.cpython-36.pyc
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delta 37
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