def _copy_to_table(self):
"""
Read data from clipboard / file and copy it to `self.ba` as float / cmplx
# TODO: More checks for swapped row <-> col, single values, wrong data type ...
"""
data_str = qtext2table(
self, 'ba',
title="Import Filter Coefficients") # returns ndarray of str
if data_str is None: # file operation has been aborted or some other error
return
logger.debug(
"importing data: dim - shape = {0} - {1} - {2}\n{3}".format(
type(data_str), np.ndim(data_str), np.shape(data_str),
data_str))
conv = self.myQ.frmt2float # frmt2float_vec?
frmt = self.myQ.frmt
if np.ndim(data_str) > 1:
num_cols, num_rows = np.shape(data_str)
orientation_horiz = num_cols > num_rows # need to transpose data
elif np.ndim(data_str) == 1:
num_rows = len(data_str)
num_cols = 1
orientation_horiz = False
else:
logger.error("Imported data is a single value or None.")
return None
logger.info("_copy_to_table: c x r = {0} x {1}".format(
num_cols, num_rows))
if orientation_horiz:
self.ba = [[], []]
for c in range(num_cols):
self.ba[0].append(conv(data_str[c][0], frmt))
if num_rows > 1:
self.ba[1].append(conv(data_str[c][1], frmt))
if num_rows > 1:
self._filter_type(ftype='IIR')
else:
self._filter_type(ftype='FIR')
else:
self.ba[0] = [conv(s, frmt) for s in data_str[0]]
if num_cols > 1:
self.ba[1] = [conv(s, frmt) for s in data_str[1]]
self._filter_type(ftype='IIR')
else:
self.ba[1] = [1]
self._filter_type(ftype='FIR')
self.ba[0] = np.asarray(self.ba[0])
self.ba[1] = np.asarray(self.ba[1])
self._equalize_ba_length()
qstyle_widget(self.ui.butSave, 'changed')
self._refresh_table()
def _copy_to_table(self):
"""
Read data from clipboard / file and copy it to `self.zpk` as array of complex
# TODO: More checks for swapped row <-> col, single values, wrong data type ...
"""
data_str = qtext2table(self, 'zpk', title="Import Poles / Zeros ")
if data_str is None: # file operation has been aborted
return
conv = self.frmt2cmplx # routine for converting to cartesian coordinates
if np.ndim(data_str) > 1:
num_cols, num_rows = np.shape(data_str)
orientation_horiz = num_cols > num_rows # need to transpose data
elif np.ndim(data_str) == 1:
num_rows = len(data_str)
num_cols = 1
orientation_horiz = False
else:
logger.error("Imported data is a single value or None.")
return None
logger.debug("_copy_to_table: c x r:", num_cols, num_rows)
if orientation_horiz:
self.zpk = [[], []]
for c in range(num_cols):
self.zpk[0].append(conv(data_str[c][0]))
if num_rows > 1:
self.zpk[1].append(conv(data_str[c][1]))
else:
self.zpk[0] = [conv(s) for s in data_str[0]]
if num_cols > 1:
self.zpk[1] = [conv(s) for s in data_str[1]]
else:
self.zpk[1] = [1]
self.zpk[0] = np.asarray(self.zpk[0])
self.zpk[1] = np.asarray(self.zpk[1])
self._equalize_columns()
qstyle_widget(self.ui.butSave, 'changed')
self._refresh_table()