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make_graphs.py
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make_graphs.py
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import matplotlib.pyplot as plt
import pandas as pd
def graph_likes(v):
datelist = []
avglist = []
for i in v:
total = 0
count = 0
date1 = i[0]
date1 = date1[0:10]
if date1 in datelist: continue
else: datelist.append(date1)
for j in v:
date2 = j[0]
date2 = date2[0:10]
if date2 != date1: continue
total += j[1]
count += 1
avglist.append(total/count)
plt.scatter(datelist, avglist, s=0.20, c='r')
plt.title("Average Favorite Count Over Time")
plt.xticks([0,144,288,432,576,720,864,1008],["2014","2015","2016","2017","2018","2019","2020","2021"])
plt.xlabel("Days")
plt.ylabel("Average Number of Favorites")
plt.savefig("graphLikes.jpeg")
plt.close()
return
def graph_rts(v):
datelist = []
avglist = []
for i in v:
total = 0
count = 0
date1 = i[0]
date1 = date1[0:10]
if date1 in datelist: continue
else: datelist.append(date1)
for j in v:
date2 = j[0]
date2 = date2[0:10]
if date2 != date1: continue
total += j[2]
count += 1
avglist.append(total/count)
plt.scatter(datelist, avglist, s=0.20, c='r')
plt.title("Average Retweet Count Over Time")
plt.xticks([0,144,288,432,576,720,864,1008],["2014","2015","2016","2017","2018","2019","2020","2021"])
plt.xlabel("Days")
plt.ylabel("Average Number of Retweets")
plt.savefig("graphRts.jpeg")
plt.close()
return
def graph_length(v):
datelist = []
avglist = []
for i in v:
total = 0
count = 0
date1 = i[0]
date1 = date1[0:10]
if date1 in datelist: continue
else: datelist.append(date1)
for j in v:
date2 = j[0]
date2 = date2[0:10]
if date2 != date1: continue
total += len(j[3])
count += 1
avglist.append(total/count)
plt.scatter(datelist, avglist, s=0.20, c='r')
plt.title("Average Length of Tweets Over Time")
plt.xticks([0,144,288,432,576,720,864,1008],["2014","2015","2016","2017","2018","2019","2020","2021"])
plt.xlabel("Days")
plt.ylabel("Average Length of Tweets")
plt.savefig("graphLength.jpeg")
plt.close()
return
def graph_sent(v):
datelist = []
avglist = []
for i in v:
total = 0
count = 0
date1 = i[0]
date1 = date1[0:10]
if date1 in datelist: continue
else: datelist.append(date1)
for j in v:
date2 = j[0]
date2 = date2[0:10]
if date2 != date1: continue
total += j[4]
count += 1
avglist.append(total/count)
plt.scatter(datelist, avglist, s=0.20, c='r')
plt.title("Average Sentiment Over Time")
plt.xticks([0,144,288,432,576,720,864,1008],["2014","2015","2016","2017","2018","2019","2020","2021"])
plt.xlabel("Days")
plt.ylabel("Average Sentiment")
plt.savefig("graphSent.jpeg")
plt.close()
return
csvdata = pd.read_csv('with_sentiment.csv')
v = csvdata.to_numpy()
graph_likes(v[:,1:])
graph_rts(v[:,1:])
graph_length(v[:,1:])
graph_sent(v[:,1:])