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authorHolden Rohrer <hr@hrhr.dev>2020-01-11 21:59:08 -0500
committerHolden Rohrer <hr@hrhr.dev>2020-01-11 21:59:08 -0500
commit6b708398cbe747f803048dbb610124fc101ab919 (patch)
tree169475ab1824f6680f058b7d2da803fb69397b31
parentb5968582267d95661dc112ed5582bddb105ffbbe (diff)
updated data
-rw-r--r--data.py32
1 files changed, 22 insertions, 10 deletions
diff --git a/data.py b/data.py
index 1144e9e..2018cd4 100644
--- a/data.py
+++ b/data.py
@@ -109,26 +109,38 @@ import numpy as np
from scipy.stats import pearsonr
if len(sys.argv) < 2:
- print('You must provide at least one argument to choose the function of this program: `image` or `neighbor`')
+ print('You must provide at least one argument to choose the function of this program: `img` or `nei` or `depwid')
quit()
arg = sys.argv[1]
-if arg == 'image':
+if arg == 'img':
for trial in trials:
trial.plot(save=True)
-elif arg == 'neighbor':
+elif arg == 'nei':
x = []
y = []
for trial in trials:
+ size = math.sqrt(trial.size[0]*trial.size[1])
nei = trial.nearest_neighbor()
- for n in range(len(nei)):
- nei[n] += n*.05
- plt.xlabel('Square root of Trial Area (cm)')
- plt.ylabel('Nearest Neighbor for Individual Pits (cm)')
- x += [math.sqrt(trial.size[0]*trial.size[1])]*len(nei)
- y += nei
- #print('p-value', pearsonr(x,y))
+ #for n in range(len(nei)):
+ # nei[n] += n*.05
+ #x += [math.sqrt(trial.size[0]*trial.size[1])]*len(nei)
+ #y += nei
+ x.append(size)
+ y.append(sum(nei)/len(nei))
+ print('p-value', pearsonr(x,y))
+ plt.xlabel('Square root of Trial Area (cm)')
+ plt.ylabel('Nearest Neighbor for Individual Pits (cm)')
plt.plot(x, y, 'bo')
plt.plot(x, np.poly1d(np.polyfit(x, y, 1))(x))
plt.show()
+elif arg == 'depwid':
+ for trial in trials:
+ size = math.sqrt(trial.size[0]*trial.size[1])
+ for pit in trial.pits:
+ plt.plot(size, pit.depth, 'bo')
+ plt.plot(size, pit.diam, 'ro')
+ plt.xlabel('Square root of Trial Area (cm)')
+ plt.ylabel('Depth/Width of Antlion Pits (cm)')
+ plt.show()