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[plotly] todos: fill_gradient

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mzwiessele 2015-10-08 14:05:20 +01:00
parent 7f84bec6fb
commit b3154e43b4
10 changed files with 196 additions and 149 deletions
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8
GPy/plotting/gpy_plot/data_plots.py
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@ -123,7 +123,7 @@ def plot_data_error(self, which_data_rows='all',
def _plot_data_error(self, canvas, which_data_rows='all',
which_data_ycols='all', visible_dims=None,
projection='2d', **error_kwargs):
projection='2d', label=None, **error_kwargs):
ycols = get_which_data_ycols(self, which_data_ycols)
rows = get_which_data_rows(self, which_data_rows)
@ -139,17 +139,17 @@ def _plot_data_error(self, canvas, which_data_rows='all',
for d in ycols:
update_not_existing_kwargs(error_kwargs, pl.defaults.xerrorbar)
plots['xerrorplot'].append(pl.xerrorbar(canvas, X[rows, free_dims].flatten(), Y[rows, d].flatten(),
2 * np.sqrt(X_variance[rows, free_dims].flatten()),
2 * np.sqrt(X_variance[rows, free_dims].flatten()), label=label,
**error_kwargs))
#2D plotting
elif len(free_dims) == 2:
update_not_existing_kwargs(error_kwargs, pl.defaults.xerrorbar) # @UndefinedVariable
for d in ycols:
plots['xerrorplot'].append(pl.xerrorbar(canvas, X[rows, free_dims[0]].flatten(), Y[rows, d].flatten(),
2 * np.sqrt(X_variance[rows, free_dims[0]].flatten()),
2 * np.sqrt(X_variance[rows, free_dims[0]].flatten()), label=label,
**error_kwargs))
plots['yerrorplot'].append(pl.xerrorbar(canvas, X[rows, free_dims[1]].flatten(), Y[rows, d].flatten(),
2 * np.sqrt(X_variance[rows, free_dims[1]].flatten()),
2 * np.sqrt(X_variance[rows, free_dims[1]].flatten()), label=label,
**error_kwargs))
elif len(free_dims) == 0:
pass #Nothing to plot!