From 795af91cd8be1ea176e688c05a64150d347ac3de Mon Sep 17 00:00:00 2001 From: Siddhesh Raskar Date: Sun, 3 Mar 2024 19:44:36 +0530 Subject: [PATCH 1/9] Refactored code using list comprehensions for improved readability and potential performance gains (data_analysis.py, lines 95-105) --- analyze/data_analysis.py | 23 ++++++++++------------- 1 file changed, 10 insertions(+), 13 deletions(-) diff --git a/analyze/data_analysis.py b/analyze/data_analysis.py index 4160a1e..1e3c671 100644 --- a/analyze/data_analysis.py +++ b/analyze/data_analysis.py @@ -92,19 +92,16 @@ def tags_frequency(csv_path, column_names): # customized = {"p", "d", "b"} # stopwords = stopwords.union(customized) - for word in list_tags: - # Splitting each tag into its constituent words - tokens = word.split() - # Converting each word to lower case - for i in range(len(tokens)): - tokens[i] = tokens[i].lower() - # Adding each word to text - text += " ".join(tokens) + " " - for word in list2: - tokens = word.split() - for j in range(len(tokens)): - tokens[j] = tokens[j].lower() - text += " ".join(tokens) + " " + # Initialize an empty list to store lowercase words + lowercase_words = [] + + # Iterate over each tag in list_tags and list2 + for tag in list_tags + list2: + # Split the tag into its constituent words, convert to lowercase, and append to the list + lowercase_words.extend([word.lower() for word in tag.split()]) + + # Join the lowercase words with a space separator + text = ' '.join(lowercase_words) # Creating the word cloud tags_word_cloud = WordCloud( From 8e0b6ab24f554e8a878c5145fec2cbb648edd35c Mon Sep 17 00:00:00 2001 From: siddheshhr <139670479+siddheshhr@users.noreply.github.com> Date: Mon, 4 Mar 2024 20:29:25 +0530 Subject: [PATCH 2/9] Update data_analysis.py Removed the extra space as said before line 98 --- analyze/data_analysis.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/analyze/data_analysis.py b/analyze/data_analysis.py index 1e3c671..7f9b2ee 100644 --- a/analyze/data_analysis.py +++ b/analyze/data_analysis.py @@ -94,12 +94,11 @@ def tags_frequency(csv_path, column_names): # Initialize an empty list to store lowercase words lowercase_words = [] - # Iterate over each tag in list_tags and list2 for tag in list_tags + list2: # Split the tag into its constituent words, convert to lowercase, and append to the list lowercase_words.extend([word.lower() for word in tag.split()]) - + # Join the lowercase words with a space separator text = ' '.join(lowercase_words) From 8bcfc78eef178295c92f0cd8cab40914f2aed4ee Mon Sep 17 00:00:00 2001 From: Siddhesh Raskar Date: Tue, 5 Mar 2024 22:38:09 +0530 Subject: [PATCH 3/9] Update data_analysis.py with optimized code & README.md --- .../wordCloud_plots/license1_wordCloud.png | Bin 1893303 -> 1814834 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/analyze/wordCloud_plots/license1_wordCloud.png b/analyze/wordCloud_plots/license1_wordCloud.png index 433f0fce290f4101fb9fd4209b6177dd780cb534..d1a0885a854e380495b2b6a7e6e7b0d6dd921cdd 100644 GIT binary patch literal 1814834 zcmeFZcT|(>`Yjqn5Cp`6f>aR;N)x4bLMO_yS`=>7MrcM?pw5f}OjlGKv#_WQdg_ASJ-tHE^ z2>&hK3sx>J4$cw+0=ECp3;6AwECo7A4J3FIY6s=V&L|W=7xG`SXPL5YD0pv`JMx;( z5*J6^y%{VHj;(h7?AVM+KB?^Ab^Fa}&od`AAAb4#IGUWH*0O1{G$64)j83{ZkxsnU zj4b0`H2=kVO64Q-wj;5#Tdh|(Icp_Lzh4;&TG=()sF7U%c?;f5YUAgvaS!$g!4^3x z&Y+XG|Bt^#oeQ*IIP(AcA@Yxx>bRNw|Gz)SnEu}%{~rekNA!QsDT?4)dU zl#hSQqeIzlKK00&8tC}3X+aIt)vU{t|c>XKYsp2VKK~XIqw3S{n3+Lv9 zDN|8*XRD`c7TH2PXI$&LbsfV0w9(%^B`Qu~HgTsr3Jtq+G_Fz|k#0GKd;kyA*OQ-~lZ&~`os8g+jrjfB ztjd6YRf;~OnXGm+A~u%6Wo3-5K(8FT@cT6KS<0AB^@jbO4B;@_`8!Y7z}BK0Xdjp; z{j@VV{A!B##||P3Eu|Rii93plobbu&y|(U-H~0uT{ZY=y$_gpTfK0#m*wIn2VSiJf z*Qk!kx<6lDO)UaX`uX(M&elq#<5Y|3-uBwuNToe_eC)~7{P0y}54O3^2^hUT%cFha z)-8=*Ps%_tc;l8Aj7Be!*ME!RWMH^MMUCytR@W`ZYIO-|WT|DUqo_Ge-T!<$<-JcD z*#0-0vewGsms(b)+3Q(SQog1=Wia}nC%R?q=Gj5d5)7+18SCX6`PDVljx|+8NEuoa7-_L((iCLWkwG5 zY3rtAJ5Ko7-)^Po=;-Ik(q6yYMaSZtqpWW|Ub5=4$o6pRzZqDDIrpC>}EB{?(r zf7yxh*Dl^fKS!MiA#Xg`;h})aEcC$yb^BspFdd6SFIv>}lRw#DorkjqV+edvrs`2U zsnt*9$`2m2?)}@CbdhL|S%EVQ_uD5LKO+%znqxRPFL^(C+_KRr8+n3FV&biik-Vv? 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