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// Disable bold. | |
term_.prefs_.set('enable-bold', false) | |
// Use this for Solarized Dark | |
term_.prefs_.set('background-color', "#002b36"); | |
term_.prefs_.set('foreground-color', "#839496"); | |
term_.prefs_.set('cursor-color', '#b58900'); | |
term_.prefs_.set('color-palette-overrides', [ | |
'#073642', | |
'#dc322f', |
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import numpy as np | |
import pandas as pd | |
from scipy import stats | |
import matplotlib as mpl | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
combined = pd.read_csv('/Users/daniel.lurie/Dropbox/CMI/INDI/CoRR/qc/temp_motion_326.csv', sep=',') | |
snr = pd.read_csv('/Users/daniel.lurie/Dropbox/CMI/INDI/CoRR/qc/tsnr_temp_328.csv', sep=',') |
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import numpy as np | |
import pandas as pd | |
from scipy import stats | |
import matplotlib as mpl | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
combined = pd.read_csv('/Users/daniel.lurie/Dropbox/CMI/INDI/CoRR/qc/temp_motion_326.csv', sep=',') | |
snr = pd.read_csv('/Users/daniel.lurie/Dropbox/CMI/INDI/CoRR/qc/tsnr_temp_328.csv', sep=',') |
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import numpy as np | |
import pandas as pd | |
from scipy import stats | |
import matplotlib as mpl | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
combined = pd.read_csv('/Users/daniel.lurie/Dropbox/CMI/INDI/CoRR/qc/temp_motion_326.csv', sep=',') | |
snr = pd.read_csv('/Users/daniel.lurie/Dropbox/CMI/INDI/CoRR/qc/tsnr_temp_328.csv', sep=',') |
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In [1]: age_code = "[CONY_48]" | |
In [2]: gen_code ="[CONY_49]" | |
In [3]: from code | |
code codecs codetools | |
codeconvert_dl_130211 codeop | |
In [3]: from codeconvert_dl_130211 import ttestconv |
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def ttestconv( oldfile, gen_code ): | |
newfile = os.path.basename(oldfile) | |
#Read in Variables (Case Sensitive) | |
print gen_code | |
#gen_code = raw_input("Please Enter Gender Code (Case Sensitive):") | |
#age_code = raw_input("Please Enter Age Code (Case Sensitive):") | |
ttest_code = raw_input("Please Enter T Test Code (Case Sensitive):") | |