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add rank comparison

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This commit is contained in:
Yaman Qalieh 2018-05-27 01:55:30 -04:00
parent 43373de921
commit 225627bffd
1 changed files with 15 additions and 4 deletions
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19
SmearcarDB/server.py
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@ -9,6 +9,7 @@ import matplotlib.pyplot as plt
from flask import send_file from flask import send_file
import datetime import datetime
import os import os
from scipy import stats
app = Flask(__name__) app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///data.db' app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///data.db'
@ -60,7 +61,7 @@ def rand_jitter(arr):
stdev = .01*(max(arr)-min(arr)) stdev = .01*(max(arr)-min(arr))
return arr + np.random.randn(len(arr)) * stdev return arr + np.random.randn(len(arr)) * stdev
def uniqueness(): def uniqueness(title="Figure 1"):
x = [] x = []
y = [] y = []
languages = Language.query.all() languages = Language.query.all()
@ -76,7 +77,7 @@ def uniqueness():
plt.plot(x, bestfit, '-') plt.plot(x, bestfit, '-')
plt.xlabel("Phoneme Presence in Studied Languages") plt.xlabel("Phoneme Presence in Studied Languages")
plt.ylabel("Average Frequency / %") plt.ylabel("Average Frequency / %")
plt.title("Figure 1") plt.title(title)
plt.show() plt.show()
def phoneme_rank(scatter=False, detail=1000, textOutput=False, title="Figure 2"): def phoneme_rank(scatter=False, detail=1000, textOutput=False, title="Figure 2"):
@ -123,10 +124,20 @@ def phoible_compare():
phonemes = [phoneme.name for phoneme in Phoneme.query.all()] phonemes = [phoneme.name for phoneme in Phoneme.query.all()]
return [x for x in phoible if x in phonemes] return [x for x in phoible if x in phonemes]
def rank_compare(): def rank_compare(textOutput=True, title="Rank Comparison"):
phoible = phoible_compare() phoible = phoible_compare()
original = phoneme_rank(textOutput=True) original = phoneme_rank(textOutput=True)
phoible_ranks = list(range(len(phoible)+1))[1:]
original_ranks = [original.index(phoneme) + 1 for phoneme in phoible]
if textOutput:
return {"kendall": stats.kendalltau(phoible_ranks, original_ranks),
"spearman": stats.spearmanr(phoible_ranks, original_ranks),
"wilcoxon": stats.wilcoxon(phoible_ranks, original_ranks, zero_method="pratt")}
plt.scatter(phoible_ranks, original_ranks)
plt.xlabel("Phoible Rank")
plt.ylabel("Weighted Rank")
plt.title(title)
plt.show()
def database(): def database():