Exemplo n.º 1
0
print 'Nonparametric sign test for nbr > mat: P = %f'%nst_pval
'''
#
# Make figure
#

width=160
height=175
bottom=5
fig = plt.figure(figsize=(mm2inch(width),mm2inch(height+bottom)))
sns.set(font_scale=0.8)

# Make a labler to add labels to subplots
labeler = Labeler(xpad=.07,ypad=0.02,fontsize=10)

left = width_mm2fig(15,fig)
stat_left = left
middle = width_mm2fig(70,fig)
right = width_mm2fig(125,fig)

level1 = height_mm2fig(140+bottom,fig)
level2 = height_mm2fig(105+bottom,fig)
level3 = height_mm2fig(60+bottom,fig)
level4 = height_mm2fig(10+bottom,fig)

hm_width = width_mm2fig(160,fig)
hm_height = height_mm2fig(20,fig)
stat_width = width_mm2fig(30,fig)
stat_height = height_mm2fig(30,fig)

labelsize = 8
Exemplo n.º 2
0
# sns.heatmap(df_neighbor.transpose())
# xticks = np.arange(0,df_neighbor.shape[0],5)
# plt.xticks(xticks+.5,xticks);
# plt.yticks(rotation=0);

width = 80
height = 130
bottom = 5
fig = plt.figure(figsize=(mm2inch(width), mm2inch(height + bottom)))
sns.set(font_scale=0.8, style='dark')

# Set colormap
cmap = "coolwarm"

# Set positions
left = width_mm2fig(9, fig)
level0 = height_mm2fig(128 + bottom, fig)
level1 = height_mm2fig(78 + bottom, fig)
level2 = height_mm2fig(0 + bottom, fig)

# Set plot sizes
width = width_mm2fig(70, fig)
matrix_height = height_mm2fig(12.5, fig)
neighbor_height = height_mm2fig(65, fig)

# Set font sizes
labelsize = 8
panelsize = 12

## Matrix modl parameters
vmin = -.8
Exemplo n.º 3
0
# plt.subplot(122)
# sns.regplot(crp_true_model.flatten(),crp_learned_model.flatten())
# plt.xlabel('CRP True')
# plt.ylabel('CRP Learned')

# plt.tight_layout()

width=160
height=140
bottom=5
fig = plt.figure(figsize=(mm2inch(width),mm2inch(height+bottom)))

#fig = plt.figure(figsize=(mm2inch(170),mm2inch(155)))
sns.set(font_scale=0.8)

left = width_mm2fig(20,fig)
stat_left = width_mm2fig(25,fig)
middle = width_mm2fig(100,fig)

level1 = height_mm2fig(105+bottom,fig)
level2 = height_mm2fig(65+bottom,fig)
level3 = height_mm2fig(10+bottom,fig)

hm_width = width_mm2fig(145,fig)
hm_height = height_mm2fig(20,fig)
stat_width = width_mm2fig(40,fig)
stat_height = height_mm2fig(40,fig)

labelsize = 8
panelsize = 12
Exemplo n.º 4
0
df_dms_yannotation = df2.iloc[:, 2:].transpose().reset_index()[['index']]

# # Plot
# plt.figure(figsize=(6.5,2))
# ax = sns.heatmap(df_dms_comparison.transpose(),annot=True,fmt="d")
# gelx(ax,df_dms_xannotation,annotation_spacing=0.4)
# gely(ax,df_dms_yannotation,annotation_spacing=0.4)

width = 85
height = 52
bottom = 5
fig = plt.figure(figsize=(mm2inch(width), mm2inch(height + bottom)))
#fig = plt.figure(figsize=(mm2inch(85),mm2inch(50)))
sns.set(font_scale=0.8)

left = width_mm2fig(20, fig)
middle = width_mm2fig(50, fig)

level1 = height_mm2fig(30 + bottom, fig)
level2 = height_mm2fig(5 + bottom, fig)

hm_width = width_mm2fig(60, fig)
hm_height = height_mm2fig(10, fig)

labelsize = 8
panelsize = 12

param_lims = [-1, 1]
param_ticks = [-1, -.5, 0, .5, 1]

# Set colormaps