Exemplos de list_of_dicts_to_key_list em Python

Exemplo n.º 1

Arquivo: behavior_plotting.py Projeto: mehdibehroozi/post_learning_analysis

"""

import numpy as np
from loader import load_dynacomp, list_of_dicts_to_key_list
import matplotlib.pyplot as plt

# Load dataset
dataset = load_dynacomp()
groups = ['av', 'v', 'avn']
# Behavior data
behav_data = dataset.behavior
# Add deltas
for i in range(len(behav_data)):
    for key in ['Thresh', 'RT', 'HIT_RT', 'Perf', 'Conf_mean']:
        behav_data[i]['delta' + key] = behav_data[i]['post' + key] - \
                                       behav_data[i]['pre' + key]

# for each behav score
for key in behav_data[0].keys():
    scores = []
    # for each group
    for group in groups:
        bd = np.array(behav_data)
        scores.append(list_of_dicts_to_key_list(\
                      bd[dataset.group_indices[group]], key))
    plt.figure()
    plt.boxplot(scores)
    plt.xticks(range(1, 4), groups, fontsize=16)
    plt.title(key, fontsize=16)
    plt.grid(axis='y')

Exemplo n.º 2

Arquivo: behavior_plotting.py Projeto: JFBazille/post_learning_analysis

"""

import numpy as np
from loader import load_dynacomp, list_of_dicts_to_key_list
import matplotlib.pyplot as plt  
                   
# Load dataset                   
dataset = load_dynacomp()
groups = ['av', 'v', 'avn']
# Behavior data
behav_data = dataset.behavior
# Add deltas
for i in range(len(behav_data)):
    for key in ['Thresh', 'RT', 'HIT_RT', 'Perf', 'Conf_mean']:
        behav_data[i]['delta' + key] = behav_data[i]['post' + key] - \
                                       behav_data[i]['pre' + key]

# for each behav score
for key in behav_data[0].keys():
    scores = []
    # for each group
    for group in groups:
        bd = np.array(behav_data)
        scores.append(list_of_dicts_to_key_list(\
                      bd[dataset.group_indices[group]], key))
    plt.figure()
    plt.boxplot(scores)
    plt.xticks(range(1,4), groups, fontsize=16)
    plt.title(key, fontsize=16)
    plt.grid(axis='y')

Exemplo n.º 3

Arquivo: test_fetch_data.py Projeto: mehdibehroozi/post_learning_analysis

Script to test functions

Created on Thu Mar 26 15:02:11 2015

@author: [email protected]
"""

from loader import load_dynacomp, list_of_dicts_to_key_list, dict_to_list
from nilearn.input_data import NiftiMapsMasker
import time

# Load Dynacomp dataset
dataset = load_dynacomp()

# Dataset keys
print 'keys\n', dataset.keys()

# Dataset functional 1
print 'func1\n', dataset.func1

# Dataset behaviordata : prePerf
print 'prePerf\n', list_of_dicts_to_key_list(dataset.behavior, 'prePerf')

# Generate seed-masker for subject 0
maps_img = dict_to_list(dataset.rois[1])

tic = time.clock()
masker = NiftiMapsMasker(maps_img, verbose=5)
x = masker.fit_transform(dataset.func1[1])
toc = time.clock()
print toc - tic