def plotandsavescatterplot_poolrois(fname, keylist, fdir='.', ylim=10):
"""Plots bar graph from data in 'peakf_pooled.txt' and saves it in the summary directory. Run from a
data/ or summary/ folder."""
dictdata = genplotlib.gendict(fname)
dictmeans = genplotlib.genlist(dictdata)
#~ keylist = genplotlib.genkeylist(dictdata)
genplotlib.plotdata(dictdata, dictmeans, keylist, 's', ylabel='Hz', ftitle='Mean frequency',
ylim=ylim)
plt.savefig('dftf_freq_scatter_pooled')
def plotandsavescatterplot(roiname, keylist, fdir='.', ylim=10):
"""Plots scatter plot from data in 'peakf.txt' and saves it in the summary directory. Run from a
data/ or summary/ folder."""
dictdata = genplotlib.gendict(genpeakffname_roi(roiname, fdir))
dictmeans = genplotlib.genlist(dictdata)
#~ keylist = genplotlib.genkeylist(dictdata)
genplotlib.plotdata(dictdata, dictmeans, keylist, 's', ylabel='Hz', ftitle='Mean pumping ' +
'frequency '+roiname, ylim=ylim)
savegraph('dftf_freq_scatter_'+roiname, roiname)
def plotandsavepooledscatterplot(p_peakf_file, roi):
"""Plots scatter plot from data in 'peakf.txt' and saves it in the summary directory. Run from a
data/ or summary/ folder."""
dictdata = genplotlib.gendict(p_peakf_file)
dictmeans = genplotlib.genlist(dictdata)
keylist = genplotlib.genkeylist(dictdata)
genplotlib.plotdata(dictdata, dictmeans, keylist, 's', ylabel='Hz', ftitle='Mean pumping ' +
'frequency '+roi)
plt.savefig('pooled_freq_scatter_'+roi)
def bg_key(p_peakf_file, keyfile, roi):
dictdata = genplotlib.gendict(p_peakf_file)
dictmeans = genplotlib.genlist(dictdata)
keylist = cmn.load_keys(keyfile)
dictdata2 = {}
for k in keylist:
dictdata2[k] = dictdata[k]
genplotlib.plotdata(dictdata2, dictmeans, keylist, 'b', ylabel='Hz',
ftitle='Mean pumping frequency', xlabelsize = 'medium')
plt.savefig('pooled_dftf_freq_bar_'+roi)
def plotandsavepooledscatterplot(p_peakf_file, roi):
"""Plots scatter plot from data in 'peakf.txt' and saves it in the summary directory. Run from a
data/ or summary/ folder."""
dictdata = genplotlib.gendict(p_peakf_file)
dictmeans = genplotlib.genlist(dictdata)
keylist = genplotlib.genkeylist(dictdata)
genplotlib.plotdata(dictdata,
dictmeans,
keylist,
's',
ylabel='Hz',
ftitle='Mean pumping ' + 'frequency ' + roi)
plt.savefig('pooled_freq_scatter_' + roi)
def bg_key(p_peakf_file, keyfile, roi):
dictdata = genplotlib.gendict(p_peakf_file)
dictmeans = genplotlib.genlist(dictdata)
keylist = cmn.load_keys(keyfile)
dictdata2 = {}
for k in keylist:
dictdata2[k] = dictdata[k]
genplotlib.plotdata(dictdata2,
dictmeans,
keylist,
'b',
ylabel='Hz',
ftitle='Mean pumping frequency',
xlabelsize='medium')
plt.savefig('pooled_dftf_freq_bar_' + roi)
import scipy.stats as stats
import mn.plot.genplotlib as gpl
x = gpl.gendict('peakf_roi1_corr.txt')
print(x)
tstat, prob = stats.ttest_ind(x['721-GAL4'], x['721 x TNT'])
print(prob)
probstr = str(prob)
with open('ttest_results.txt', 'w') as f:
f.write('prob\t' + probstr)
import scipy.stats as stats
import mn.plot.genplotlib as gpl
x = gpl.gendict('peakf_roi1.txt')
print(x)
tstat, prob = stats.ttest_ind(x['762-GAL4'], x['762 x TNT'])
print(prob)
probstr = str(prob)
with open('ttest_results.txt', 'w') as f:
f.write('prob\t' + probstr)
import scipy.stats as stats
import mn.plot.genplotlib as gpl
x = gpl.gendict('peakf_roi1_corr.txt')
print(x)
tstat, prob = stats.ttest_ind(x['721-GAL4'], x['721 x TNT'])
print(prob)
probstr = str(prob)
with open('ttest_results.txt', 'w') as f:
f.write('prob\t' + probstr)