100 lines
3.2 KiB
Python
100 lines
3.2 KiB
Python
import numpy as np
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class Sim_Data_Container :
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def __init__(self):
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self.sim_type = {'transient':False,'ac':False,'dc':False}
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self.result = {}
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print('container initial sucessfully !!!')
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def load_analysis(self, simtype, analysis):
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self.sim_type[simtype] = True
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if(simtype == 'transient'):
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self.parse_transient(analysis)
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elif(simtype == 'dc'):
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self.parse_dc(analysis)
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elif(simtype == 'ac'):
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self.parse_ac(analysis)
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def del_analysis(self):
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self.sim_type = {'transient':False,'ac':False,'dc':False}
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self.result = {}
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def parse_transient(self, analysis):
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result_tran = {}
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result_tran['time'] = [float(i) for i in analysis.time]
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result_tran['nodes_name'] = list(analysis.nodes.keys())
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nodes = {}
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for i in result_tran['nodes_name'] :
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nodes[i] = [float(j) for j in analysis.nodes[i]]
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result_tran['nodes'] = nodes
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result_tran['branches_name'] = list(analysis.branches.keys())
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branches = {}
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for i in result_tran['branches_name']:
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branches[i] = [float(j) for j in analysis.branches[i]]
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result_tran['branches'] = branches
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self.result['transient'] = result_tran
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def parse_dc(self, analysis):
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result_dc = {}
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result_dc['sweep'] = [float(i) for i in analysis.sweep]
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result_dc['nodes_name'] = list(analysis.nodes.keys())
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nodes = {}
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for i in result_dc['nodes_name'] :
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nodes[i] = [float(j) for j in analysis.nodes[i]]
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result_dc['nodes'] = nodes
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result_dc['branches_name'] = list(analysis.branches.keys())
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branches = {}
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for i in result_dc['branches_name']:
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branches[i] = [float(j) for j in analysis.branches[i]]
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result_dc['branches'] = branches
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self.result['dc'] = result_dc
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def parse_ac(self, analysis):
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result_ac = {}
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result_ac['frequency'] = [float(i) for i in analysis.frequency]
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result_ac['nodes_name'] = list(analysis.nodes.keys())
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nodes_gain = {}
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nodes_phase = {}
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for i in result_ac['nodes_name'] :
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the_gain = 20*np.log10(np.absolute(analysis.nodes[i]))
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the_phase = np.angle(analysis.nodes[i], deg=False)
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# print(the_gain)
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nodes_gain[i] = [float(j) for j in the_gain]
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nodes_phase[i] = [float(j) for j in the_phase]
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result_ac['nodes_gain'] = nodes_gain
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result_ac['nodes_phase'] = nodes_phase
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# print(nodes_gain)
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# print(nodes_phase)
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result_ac['branches_name'] = list(analysis.branches.keys())
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branches_gain = {}
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branches_phase = {}
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for i in result_ac['branches_name']:
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the_gain = 20*np.log10(np.absolute(analysis.branches[i]))
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the_phase = np.angle(analysis.branches[i], deg=False)
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branches_gain[i] = [float(j) for j in the_gain]
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branches_phase[i] = [float(j) for j in the_phase]
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result_ac['branches_gain'] = branches_gain
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result_ac['branches_phase'] = branches_phase
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self.result['ac'] = result_ac
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def simulation_info_request(self, simtype):
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return self.result[simtype]
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