def _get_irf_plot_config(names, impcol, rescol):
nrows = ncols = k = len(names)
if impcol is not None and rescol is not None:
# plot one impulse-response pair
nrows = ncols = 1
j = util.get_index(names, impcol)
i = util.get_index(names, rescol)
to_plot = [(j, i, 0, 0)]
elif impcol is not None:
# plot impacts of impulse in one variable
ncols = 1
j = util.get_index(names, impcol)
to_plot = [(j, i, i, 0) for i in range(k)]
elif rescol is not None:
# plot only things having impact on particular variable
ncols = 1
i = util.get_index(names, rescol)
to_plot = [(j, i, j, 0) for j in range(k)]
else:
# plot everything
to_plot = [(j, i, i, j) for i in range(k) for j in range(k)]
return nrows, ncols, to_plot
def _get_irf_plot_config(names, impcol, rescol):
nrows = ncols = k = len(names)
if impcol is not None and rescol is not None:
# plot one impulse-response pair
nrows = ncols = 1
j = util.get_index(names, impcol)
i = util.get_index(names, rescol)
to_plot = [(j, i, 0, 0)]
elif impcol is not None:
# plot impacts of impulse in one variable
ncols = 1
j = util.get_index(names, impcol)
to_plot = [(j, i, i, 0) for i in range(k)]
elif rescol is not None:
# plot only things having impact on particular variable
ncols = 1
i = util.get_index(names, rescol)
to_plot = [(j, i, j, 0) for j in range(k)]
else:
# plot everything
to_plot = [(j, i, i, j) for i in range(k) for j in range(k)]
return nrows, ncols, to_plot
def get_eq_index(self, name):
"Return integer position of requested equation name"
return util.get_index(self.names, name)
def get_eq_index(self, name):
"Return integer position of requested equation name"
return util.get_index(self.names, name)