Add WhatsApp keyword Occurrence per user finder#477

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Create Whasapp analyze.py
PrestigiousBeat6355 Jan 13, 2023
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Create README.md
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14 changes: 14 additions & 0 deletions scripts/WhatsApp Word Occurrence per user find/README.md
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!
64 changes: 64 additions & 0 deletions scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

start = data[n].find('-')
end = -1
occurrence = 2
for i in range(0, occurrence):
end = data[n].find(':', end + 1)
name = data[n][start+1:end]
Names_duplicate += [name]


Names = []
for i in Names_duplicate:
if i not in Names and i.startswith(' '):
Names.append(i)

count = []
for i in Names:
rep = 0
for j in data:
if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
rep = rep + 1
count.append(i)
count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
if i % 2 == 0:
plot_Name.append(count[i])
if i % 2 != 0:
plot_instances.append(count[i])

for plot in range(0, 16):
plot_data[plot_Name[plot]] = plot_instances[plot]
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Add WhatsApp keyword Occurrence per user finder#477

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#477
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1bcbba0

Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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14 changes: 14 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/README.md

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add WhatsApp keyword Occurrence per user finder#477

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#477
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1bcbba0

Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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14 changes: 14 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/README.md

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add WhatsApp keyword Occurrence per user finder#477

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Add WhatsApp keyword Occurrence per user finder
#477
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1bcbba0

Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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14 changes: 14 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Add WhatsApp keyword Occurrence per user finder#477

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 Open

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commits into

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Add WhatsApp keyword Occurrence per user finder
#477
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1bcbba0

Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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14 changes: 14 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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scripts/WhatsApp Word Occurrence per user find/README.md

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add WhatsApp keyword Occurrence per user finder#477

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Add WhatsApp keyword Occurrence per user finder
#477
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1bcbba0

Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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14 changes: 14 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/README.md

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
Add WhatsApp keyword Occurrence per user finder#477

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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privacy statement. We’ll occasionally send you account related emails.

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Sign in
to your account

 Open

PrestigiousBeat6355
wants to merge
2
commits into

base:master
Choose a base branch

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Add WhatsApp keyword Occurrence per user finder
#477
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1bcbba0

Create Whasapp analyze.py


PrestigiousBeat6355 Jan 13, 2023
012ec36

Create README.md


PrestigiousBeat6355 Jan 13, 2023

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14 changes: 14 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,14 @@
This is a python script which will find how many times a word is used per person in an WhatsApp group conversation.

To use this script you have to generate a text(.txt) file from whatapp application which can be done via Group chat>more>export_chat>without_media

Copy that file to your PC,copy the file's(.txt) path for later use

install matplotlib by excuting pip install matplotlib

Excecute the script

Paste the path to your text file,press enter

Find the Keyword you want to find.
A plot showing the bar graph of the use cases of the entered keyword would be displayed if everything goes right!

64 changes: 64 additions & 0 deletions
scripts/WhatsApp Word Occurrence per user find/Whasapp analyze.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,64 @@
import matplotlib.pyplot as plt

#This script can be used to find how many times a particular word is used and by which user.
#This can be particularly userful for a group conversation,just for fun😁

filename = input('Enter the file Name : ')

#Ensure the file is in same path to the script
#or you can enter path to the file

word_to_find = input('which word you want to find? :')


chat = open(str(filename), 'r', encoding='utf_8')
data = chat.readlines()
Names_duplicate = []

for n in range(1, 2000):

 start = data[n].find('-')
 end = -1
 occurrence = 2
 for i in range(0, occurrence):
 end = data[n].find(':', end + 1)
 name = data[n][start+1:end]
 Names_duplicate += [name]


Names = []
for i in Names_duplicate:
 if i not in Names and i.startswith(' '):
 Names.append(i)

count = []
for i in Names:
 rep = 0
 for j in data:
 if str(j.find(str(word_to_find))) != '-1' and str(j.find(i)) != '-1':
 rep = rep + 1
 count.append(i) 
 count.append(rep)
textfile = open("a_file.txt", "w")
for element in count:
 textfile. write(str(element)+'\n')

textfile.close()

plot_Name = []
plot_instances = []
plot_data = {}
for i in range(0, len(count)-1):
 if i % 2 == 0:
 plot_Name.append(count[i])
 if i % 2 != 0:
 plot_instances.append(count[i])

for plot in range(0, 16):
 plot_data[plot_Name[plot]] = plot_instances[plot] 
x = list(plot_data.keys())
y = list(plot_data.values())
fig = plt.figure(figsize=(400, 5))

plt.bar(x, y)
plt.show()