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jowi-tech
2021-08-11 18:34:46 +02:00
committed by GitHub
parent db74373c3d
commit 29e87b75c3
2 changed files with 121 additions and 53 deletions

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@@ -1,71 +1,75 @@
import os, sys
import csv, json
import matplotlib.pyplot as plt
from collections import Counter, OrderedDict
def get_hashtag_list(obj):
def get_hashtags(obj):
if not obj:
print(f'ERROR: Empty item, no hashtags to be extracted.')
return
else:
hashtag_list = []
length = len(obj)
for i in range(length):
hashtags = {}
l = len(obj)
for i in range(l):
for hashtag in obj[i]['hashtags']:
hashtag_list.append(hashtag['name'])
return hashtag_list
if hashtag['name'] in hashtags:
hashtags[hashtag['name']].add(i)
else:
hashtags[hashtag['name']] = {i}
return hashtags
def create_csv(file_name, d):
def create_csv(file_name, path, d):
with open(path, "w") as f:
f.write(f"Name, Occurances, Positions" + "\n")
for key,value in d.items():
f.write(f"{key}, {value[0]}, " + f"{value[1]}".replace(",", ";") + "\n")
print(f'The sorted hashtag occcurances list is contained in the file {path}.')
return None
def plot_occurances(file_name, plots):
base = os.path.splitext(file_name)[0]
path = f"./{base}_sorted_hashtags.csv"
if os.path.exists(path):
print(f'The file {path} containing hashtag occurances already exists.')
return None
print(f'The file {path} containing hashtag occurances already exists. If you would like to generate a plot, please delete the file {path} and re-run the script.')
return
else:
with open(path, "w") as f:
f.write(f"Name, Occurances" + "\n")
for key,value in d.items():
f.write(f"{key}, {value}" + "\n")
print(f'The sorted hashtag occcurances list is contained in the file {path}.')
return None
with open(file_name) as f:
obj = json.load(f)
l = len(obj)
tags = get_hashtags(obj)
tags = {key: (len(value), value) for (key, value) in tags.items()}
sorted_tags = {k: v for k,v in sorted(tags.items(), key=lambda item: item[1], reverse=True)}
create_csv(file_name, path, sorted_tags)
k = list(sorted_tags.keys())
v = list(sorted_tags.values())
v = [i[0] for i in v]
k = k[:plots]
v = v[:plots]
plt.scatter(k, v)
plt.tight_layout()
plt.title(f'Hashtag Distribution')
plt.xlabel(f'Top {plots} hashtags from {l} posts.')
plt.ylabel(f'Number of occurances')
plt.show()
return
def plot_hashtag_occurances(file_name, plots):
with open(file_name) as f:
obj = json.load(f)
length = len(obj)
hashtag_list = get_hashtag_list(obj)
hashtags = Counter(hashtag_list).most_common()
hashtags_sorted = {k:v for (k,v) in hashtags}
create_csv(file_name, hashtags_sorted)
k = list(hashtags_sorted.keys())
v = list(hashtags_sorted.values())
k = k[:plots]
v = v[:plots]
plt.scatter(k, v)
plt.tight_layout()
plt.title(f'Hashtag Distribution')
plt.xlabel(f'Top {plots} hashtags from {length} posts.')
plt.ylabel(f'Number of occurances')
plt.show()
return
if len(sys.argv) != 3:
print(f'ERROR: Please make sure you enter the following in the command line: python3 file.json n. Where n is a positive integer value and will plot top n hashtags in the number of occurances.')
sys.exit()
else:
try:
int(sys.argv[2])
except:
print(f'ERROR: Please make sure the number in the command line input: python3 file.json n, is a positive integer.')
raise
try:
plot_hashtag_occurances(sys.argv[1], int(sys.argv[2]))
except:
print("Unexpected error:", sys.exc_info()[0])
raise
if __name__ == "__main__":
if len(sys.argv) != 3:
print(f'ERROR: Please make sure you enter the following in the command line: python3 file.json n. Where n is a positive integer value and will plot top n hashtags in the number of occurances.')
sys.exit()
else:
try:
int(sys.argv[2])
except:
print(f'ERROR: Please make sure the number in the command line input: python3 file.json n, is a positive integer.')
raise
try:
plot_occurances(sys.argv[1], int(sys.argv[2]))
except:
print("Unexpected error:", sys.exc_info()[0])
raise

64
extract_posts.py Normal file
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@@ -0,0 +1,64 @@
import os, sys
import csv, json
import re
from pandas import *
def arg_check():
if len(sys.argv) != 3:
print(f'ERROR: Please make sure you enter the following in the command line: python3 extract_posts.py file.json hashtag')
sys.exit()
else:
return
def get_hashtag_positions(file_name, hashtag):
base = os.path.splitext(file_name)[0]
path = f"./{base}_sorted_hashtags.csv"
if not os.path.exists(path):
print(f'Generating {path} ...')
os.system(f'python3 extract_hashtag.py {file_name} {1}')
return tag_membership(hashtag, path)
def tag_membership(hashtag, path):
data = read_csv(path)
position_str = list(data[data["Name"] == hashtag].values[:, 2])
if position_str:
position_str = re.split('{|}', str(position_str))[1]
p = position_str.replace(";", ",")
positions = [int(s) for s in p.split(",")]
return positions
else:
return
def print_posts(file_name, path, hashtag, positions):
with open(file_name) as f:
data = json.load(f)
posts = []
for p in positions:
posts.append(data[p])
keys = posts[0].keys()
with open(path, 'w', newline='') as csv_file:
writer = csv.DictWriter(csv_file, keys)
writer.writeheader()
writer.writerows(posts)
print(f'The posts are contained in the file {path}.')
return
if __name__ == "__main__":
arg_check()
file_name = sys.argv[1]
hashtag = sys.argv[2]
path = f"./{hashtag}_posts.csv"
if os.path.exists(path):
print(f'The file {path} containing hashtag occurances already exists. If you would like to run the script afresh, please delete the file {path} and re-run the script.')
sys.exit()
else:
positions = get_hashtag_positions(file_name, hashtag)
if positions:
print_posts(file_name, path, hashtag, positions)
else:
print(f'{hashtag} not found!!!!')
sys.exit()