-
Notifications
You must be signed in to change notification settings - Fork 15
/
ensemble.py
35 lines (28 loc) · 794 Bytes
/
ensemble.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
num_ens = 2
df_list = []
for i in range(num_ens):
df = pd.read_csv(f"phase_diagram{i}.csv")
df_list.append(df)
df_ensembled = df_list[0]
for df in df_list[1:]:
df_ensembled['Fc'] += df['Fc']
df_ensembled['Fc'] = df_ensembled['Fc']/num_ens
df_ensembled_pivot = df_ensembled.pivot('Dg','Dr', 'Fc')
sns.heatmap(df_ensembled_pivot,
vmin = 0.0,
vmax = 1.0,
annot = False,
cbar = False,
cmap = "jet",
square = True,
xticklabels = 2,
yticklabels = 2)
plt.gca().invert_yaxis()
plt.title("Ensemble Average of 100 Realizations")
plt.tight_layout()
plt.savefig('ensemble.png')
plt.show()