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-rw-r--r--data.py18
1 files changed, 9 insertions, 9 deletions
diff --git a/data.py b/data.py
index f345b1e..3363dbd 100644
--- a/data.py
+++ b/data.py
@@ -103,16 +103,16 @@ trials = [
]),
]
-import sys
-import math
-import numpy as np
+from sys import argv
+from math import sqrt
+from numpy import poly1d, polyfit
from scipy.stats import pearsonr
-if len(sys.argv) < 2:
+if len(argv) < 2:
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]
+arg = argv[1]
if arg == 'img':
for trial in trials:
@@ -121,11 +121,11 @@ elif arg == 'nei':
x = []
y = []
for trial in trials:
- size = math.sqrt(trial.size[0]*trial.size[1])
+ size = sqrt(trial.size[0]*trial.size[1])
nei = trial.nearest_neighbor()
#for n in range(len(nei)):
# nei[n] += n*.05
- #x += [math.sqrt(trial.size[0]*trial.size[1])]*len(nei)
+ #x += [sqrt(trial.size[0]*trial.size[1])]*len(nei)
#y += nei
x.append(size)
y.append(sum(nei)/len(nei))
@@ -135,12 +135,12 @@ elif arg == 'nei':
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.plot(x, poly1d(polyfit(x, y, 1))(x))
plt.savefig('nearest_neighbor.png', bbox_inches='tight')
elif arg == 'depwid':
depths, widths, sizes = [], [], []
for trial in trials:
- size = math.sqrt(trial.size[0]*trial.size[1])
+ size = sqrt(trial.size[0]*trial.size[1])
for pit in trial.pits:
sizes.append(size)
depths.append(pit.depth)