fixed axes using figsize

2 files changed, 9 insertions, 4 deletions

diff --git a/py/boxplot.py b/py/boxplot.py
index be1c024..2fd093e 100644
--- a/py/boxplot.py
+++ b/py/boxplot.py
@@ -1,12 +1,15 @@
 from data2 import trials
 import matplotlib.pyplot as plt
+from matplotlib.transforms import Bbox
+
+plt.figure(figsize=(16,9))
 
 vecs = []
 names = []
 for trial in trials:
     vecs.append(trial.nearest_neighbor())
     names.append(str(trial))
-    
+
 plt.boxplot(vecs, labels=names)
 plt.title('Nearest Neighbor for Each Pit in Different Trials')
 plt.ylabel('Distance to Nearest Neighbor (cm)')
diff --git a/py/lineplot.py b/py/lineplot.py
index efe6b67..83a99b6 100644
--- a/py/lineplot.py
+++ b/py/lineplot.py
@@ -12,7 +12,7 @@ title = {'nn':'Nearest Neighbor', 'wid':'Pit Width', 'dep':'Pit Depth',
 'recl':'Reclusive Population', 'dead':'Cannibalized Individuals'}
 names = []
 
-ct = 0
+plt.figure(figsize=(16,9))
 
 def addvar(key, data):
     deps[key][0].append(mean(data))
@@ -29,7 +29,8 @@ for trial in trials:
 x = arange(len(names))
 
 width = 0.8;
-plt.yticks(x,labels=names)
+plt.xticks(x,labels=names)
+plt.ylabel('Arbitrary Units')
 
 print(names,avg)
 #for var in varlist:
@@ -37,7 +38,8 @@ stdscale = 1/2
 for ind in range(len(varlist)):
     var = varlist[ind]
     div = mean(deps[var][0])
-    plt.bar(x-ind*width/len(varlist), [dep/div for dep in deps[var][0]],
+    plt.bar(x-ind*width/len(varlist)+width/2,
+    [dep/div for dep in deps[var][0]],
     yerr=[stdscale*dep/div for dep in deps[var][1]], capsize=6,
     label=title[var],alpha=0.5, width=width/len(varlist))
     #plt.errorbar(names, [dep/div for dep in deps[var][0]],