def swarmplot(data, **kwargs):
def sns_swarmplot(x, y, hue, split, orient, color, size,
linewidth): # pragma: no cover
x, y, hue, orient, color = ut.widget2py(x, y, hue, orient, color)
ax, fig, _ = ut.get_ax_fig_plt()
return sns.swarmplot(x=x,
y=y,
hue=hue,
data=data,
order=None,
hue_order=None,
split=split,
orient=orient,
color=color,
palette=None,
size=size,
edgecolor='gray',
linewidth=linewidth,
ax=ax,
**kwargs)
allcols = ["None"] + list(data.keys())
return ipw.interact_manual(
sns_swarmplot,
x=allcols,
y=allcols,
hue=allcols,
split=False,
orient=["None", "v", "h"],
color=ut.colors_dropdow(),
size=ut.size_slider(default=5),
linewidth=ut.linewidth_slider(default=0),
)
def lmplot(data, scatter_kws=None, line_kws=None):
def sns_lmplot(x, y, hue, col, row, legend, size): # pragma: no cover
x, y, hue, col, row = ut.widget2py(x, y, hue, col, row)
return sns.lmplot(x,
y,
data,
hue=hue,
col=col,
row=row,
palette=None,
col_wrap=None,
size=size,
aspect=1,
markers='o',
sharex=True,
sharey=True,
hue_order=None,
col_order=None,
row_order=None,
legend=legend,
legend_out=True,
x_estimator=None,
x_bins=None,
x_ci='ci',
scatter=True,
fit_reg=True,
ci=95,
n_boot=1000,
units=None,
order=1,
logistic=False,
lowess=False,
robust=False,
logx=False,
x_partial=None,
y_partial=None,
truncate=False,
x_jitter=None,
y_jitter=None,
scatter_kws=scatter_kws,
line_kws=line_kws)
allcols = ["None"] + list(data.keys())
return ipw.interact_manual(
sns_lmplot,
x=allcols,
y=allcols,
hue=allcols,
col=allcols,
row=allcols,
legend=True,
size=ut.size_slider(default=5),
)
def factorplot(data, facet_kws=None, **kwargs):
def sns_factorplot(x, y, hue, color, kind, size,
legend): # pragma: no cover
x, y, hue, color = ut.widget2py(x, y, hue, color)
return sns.factorplot(
x=x,
y=y,
hue=hue,
data=data,
row=None,
col=None,
col_wrap=None, # estimator=<function mean>,
ci=95,
n_boot=1000,
units=None,
order=None,
hue_order=None,
row_order=None,
col_order=None,
kind=kind,
size=size,
aspect=1,
orient=None,
color=color,
palette=None,
legend=legend,
legend_out=True,
sharex=True,
sharey=True,
margin_titles=False,
facet_kws=facet_kws,
**kwargs)
allcols = ["None"] + list(data.keys())
return ipw.interact_manual(
sns_factorplot,
x=allcols,
y=allcols,
hue=allcols,
color=ut.colors_dropdow(),
kind=["point", "bar", "count", "box", "violin", "strip"],
size=ut.size_slider(default=4),
legend=True,
)
def swarmplot(data, **kwargs):
def sns_swarmplot(x, y, hue, split, orient, color, size, linewidth): # pragma: no cover
x, y, hue, orient, color = ut.widget2py(x, y, hue, orient, color)
ax, fig, _ = ut.get_ax_fig_plt()
return sns.swarmplot(x=x, y=y, hue=hue, data=data, order=None, hue_order=None,
split=split, orient=orient, color=color, palette=None, size=size,
edgecolor='gray', linewidth=linewidth, ax=ax, **kwargs)
allcols = ["None"] + list(data.keys())
return ipw.interact_manual(
sns_swarmplot,
x=allcols,
y=allcols,
hue=allcols,
split=False,
orient=["None", "v", "h"],
color=ut.colors_dropdow(),
size=ut.size_slider(default=5),
linewidth=ut.linewidth_slider(default=0),
)
def factorplot(data, facet_kws=None, **kwargs):
def sns_factorplot(x, y, hue, color, kind, size, legend): # pragma: no cover
x, y, hue, color = ut.widget2py(x, y, hue, color)
return sns.factorplot(x=x, y=y, hue=hue, data=data, row=None, col=None, col_wrap=None, # estimator=<function mean>,
ci=95, n_boot=1000, units=None, order=None, hue_order=None, row_order=None, col_order=None,
kind=kind, size=size, aspect=1, orient=None, color=color, palette=None,
legend=legend, legend_out=True, sharex=True, sharey=True, margin_titles=False,
facet_kws=facet_kws, **kwargs)
allcols = ["None"] + list(data.keys())
return ipw.interact_manual(
sns_factorplot,
x=allcols,
y=allcols,
hue=allcols,
color=ut.colors_dropdow(),
kind=["point", "bar", "count", "box", "violin", "strip"],
size=ut.size_slider(default=4),
legend=True,
)
def lmplot(data, scatter_kws=None, line_kws=None):
def sns_lmplot(x, y, hue, col, row, legend, size): # pragma: no cover
x, y, hue, col, row = ut.widget2py(x, y, hue, col, row)
return sns.lmplot(x, y, data, hue=hue, col=col, row=row, palette=None, col_wrap=None,
size=size, aspect=1, markers='o', sharex=True, sharey=True, hue_order=None,
col_order=None, row_order=None, legend=legend, legend_out=True,
x_estimator=None, x_bins=None, x_ci='ci', scatter=True, fit_reg=True,
ci=95, n_boot=1000, units=None, order=1, logistic=False, lowess=False, robust=False,
logx=False, x_partial=None, y_partial=None, truncate=False, x_jitter=None, y_jitter=None,
scatter_kws=scatter_kws, line_kws=line_kws)
allcols = ["None"] + list(data.keys())
return ipw.interact_manual(
sns_lmplot,
x=allcols,
y=allcols,
hue=allcols,
col=allcols,
row=allcols,
legend=True,
size=ut.size_slider(default=5),
)