kopia lustrzana https://github.com/NanoVNA-Saver/nanovna-saver
94 wiersze
3.3 KiB
Python
94 wiersze
3.3 KiB
Python
# NanoVNASaver - a python program to view and export Touchstone data from a NanoVNA
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# Copyright (C) 2019. Rune B. Broberg
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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import collections
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from typing import List
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Datapoint = collections.namedtuple('Datapoint', 'freq re im')
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class Touchstone:
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s11data: List[Datapoint] = []
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s21data: List[Datapoint] = []
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filename = ""
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def __init__(self, filename):
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self.filename = filename
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def load(self):
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self.s11data = []
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self.s21data = []
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factor = 1
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try:
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file = open(self.filename, "r")
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lines = file.readlines()
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parsed_header = False
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for l in lines:
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l = l.strip()
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if l.startswith("!"):
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continue
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if l.startswith("#") and not parsed_header:
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# Check that this is a valid header
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if l == "# Hz S RI R 50":
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parsed_header = True
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factor = 1
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continue
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elif l == "# kHz S RI R 50":
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parsed_header = True
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factor = 10**3
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continue
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elif l == "# MHz S RI R 50":
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parsed_header = True
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factor = 10**6
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continue
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elif l == "# GHz S RI R 50":
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parsed_header = True
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factor = 10**9
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continue
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else:
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# This is some other comment line
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continue
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if not parsed_header:
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print("Warning: Read line without having read header: " + l)
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continue
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try:
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values = l.split(maxsplit=5)
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freq = values[0]
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re11 = values[1]
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im11 = values[2]
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freq = int(float(freq) * factor)
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re11 = float(re11)
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im11 = float(im11)
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self.s11data.append(Datapoint(freq, re11, im11))
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if len(values) > 3:
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re21 = values[3]
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im21 = values[4]
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re21 = float(re21)
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im21 = float(im21)
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self.s21data.append(Datapoint(freq, re21, im21))
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except ValueError as e:
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print("Error parsing line " + l + " : " + str(e))
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file.close()
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except IOError as e:
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print("Failed to open " + self.filename)
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return
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def setFilename(self, filename):
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self.filename = filename
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