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wip

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wea_ondara
2019-08-13 18:24:41 +02:00
parent 0536f5db5f
commit e032a1f35b
3 changed files with 39 additions and 10 deletions
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15
analyze_batch.py
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@@ -20,7 +20,11 @@ def main(folder, intervl):
users, posts, firstcontrib, sumcontrib = load(folder)
intervals = calc_intervals(posts, intervl)
start = cms()
printnoln("reading sentiments ...")
cachedsentiments = imprt(folder + "/output/sentiments.py").answers
rprint("reading sentiments ... took " + str(cms() - start) + "ms")
outputdir = folder + "/output/batch/"
os.system("mkdir -p " + outputdir)
@@ -100,9 +104,9 @@ def main(folder, intervl):
gcom.append(comlevelsflat)
fig, axs = plt.subplots(2, 2, figsize=(16, 12))
axs[0, 0].set_title('Neg')
axs[1, 0].set_title('Neu')
axs[0, 1].set_title('Pos')
axs[0, 0].set_title('Negativity')
axs[1, 0].set_title('Neutrality')
axs[0, 1].set_title('Positivity')
axs[1, 1].set_title('Compound')
axs[0, 0].hist(neglevelsflat, np.linspace(0, 1, 1 * 100))
axs[1, 0].hist(neulevelsflat, np.linspace(0, 1, 1 * 100))
@@ -115,7 +119,7 @@ def main(folder, intervl):
# plt.show()
fig.suptitle("Sentiment of answers to the first " + str(option_posts) + " (max) posts within 1 week of 1st contribution\nPosts created between "
+ option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y"))
+ option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y") + ", n=" + str(len(filteredposts)))
# figsaver.save(fig, outfilename + ".png", bbox_inches='tight')
printnoln("\rcomputing toxic levels: post " + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... plotting ... saving ...")
fig.savefig(outfilename + ".png", bbox_inches='tight')
@@ -194,7 +198,8 @@ def main(folder, intervl):
axs[1, 1].set_yscale('log')
# plt.show()
fig.suptitle("Sentiment of answers to posts by most posting users (95%tile)\nPosts created between " + option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y"))
fig.suptitle("Sentiment of answers to posts by most posting users (" + str(OLD_USER_PERCENTILE * 100) + "%tile)\nPosts created between " +
option_date_from.strftime("%d-%m-%Y") + " to " + option_date_to.strftime("%d-%m-%Y") + ", n=" + str(len(filteredposts)))
printnoln("\rcomputing toxic levels: post " + str(len(filteredposts)) + "/" + str(len(filteredposts)) + " ... plotting ... saving ...")
fig.savefig(goutfilenameoldusers + ".png", bbox_inches='tight')
plt.close(fig)