115 lines
3.9 KiB
Python
115 lines
3.9 KiB
Python
import matplotlib.pyplot as plt
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from matplotlib import dates
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import pandas as pd
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from datetime import datetime
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import sys
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font = 10
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print_width = 20
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print_height = 12
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width = 1
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plot_windows = 1
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channels = [1, 1, 1, 1]
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path = '/home/danila/Danila/work/MVN/Soft/mvn_accomp_csv/data/'
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fname = [path + 'MVN_data_T1MVN.csv',
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path + 'MVN_data_T2MVN.csv',
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path + 'MVN_data_T3MVN.csv',
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path + 'MVN_data_T4MVN.csv']
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pict_name = path + "T1_4MVN"
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ox_dtime_format = '%d.%m.%Y %H:%M'
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legend=['T1МВН', 'T2МВН', 'T3МВН', 'T4МВН']
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ch_names=['T1MVN', 'T2MVN', 'T3MVN', 'T4MVN']
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width=[1, 1, 1, 1]
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marker = ['-', '-', '-', '-'];
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width_arr = [1, 0.5, 0.2, 0.1]
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dateparse = lambda x: datetime.strptime(x, "%d.%m.%Y %H:%M:%S.%f")
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data = [pd.read_csv(fname[0], sep=';', parse_dates=['timestamp'], date_parser=dateparse),
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pd.read_csv(fname[1], sep=';', parse_dates=['timestamp'], date_parser=dateparse),
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pd.read_csv(fname[2], sep=';', parse_dates=['timestamp'], date_parser=dateparse),
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pd.read_csv(fname[3], sep=';', parse_dates=['timestamp'], date_parser=dateparse)]
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# data_dict = {"temp": ch, "pow": ch, "time": []}
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# data_dict["time"] = data[0]['timestamp']
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# col=['ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7']
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# for j in range(2):
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# for index, row, in data[j].iterrows():
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# for i in range(6):
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# ch[i].append(float(row[col[i]]))
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# data_dict[ch_signs[j]] = ch
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# ch= [[], [], [], [], [], []]
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if plot_windows == 1:
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fig, ax = plt.subplots(figsize=(print_width, print_height), dpi=200)
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i = 0
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for elem in data:
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if channels[i] == 1:
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plt.plot(elem['timestamp'], elem[ch_names[i]], marker[i], linewidth=width[i], label=legend[i])
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i += 1
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# ax.axvline(x = data['timestamp'][300], color='r', linestyle='-.', label="power=100")
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# ax.axvline(x = data['timestamp'][1500], color='b', linestyle='dotted', label="power=0")
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ax.tick_params(axis="both", width=1, labelsize=font)
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ax.grid(visible=True, linestyle = 'dotted')
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ax.set_ylabel('Температура, $^\circ$C', fontsize=font)
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ax.set_xlabel('Время', fontsize=font)
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ax.legend(fontsize=font)
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date_formatter = dates.DateFormatter(ox_dtime_format)
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ax.xaxis.set_major_formatter(date_formatter)
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plt.tight_layout()
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fig.savefig(pict_name)
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plt.show()
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sys.exit()
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# elif plot_windows == 2:
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# fig = plt.figure(figsize=(print_width, print_height), dpi=200)
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# ax1 = fig.add_subplot(2, 1, 1)
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# ax2 = fig.add_subplot(2, 1, 2, sharex=ax1)
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# i = 0
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# for elem in data_dict['temp']:
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# if channels[i] == 1:
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# ax1.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
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# i += 1
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# i = 0
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# for elem in data_dict['pow']:
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# if channels[i] == 1:
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# ax2.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
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# i += 1
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# # ax1.axvline(x = data['timestamp'][300], color='r', linestyle='-.', label="power=100")
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# # ax.axvline(x = data['timestamp'][1500], color='b', linestyle='dotted', label="power=0")
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# ax1.tick_params(axis="both", width=1, labelsize=font)
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# ax1.grid(visible=True, linestyle = 'dotted')
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# ax1.set_ylabel('Температура, $^\circ$C', fontsize=font)
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# ax1.set_xlabel('Время', fontsize=font)
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# ax1.legend(fontsize=font)
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# date_formatter = dates.DateFormatter('%d.%m.%Y %H')
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# ax1.xaxis.set_major_formatter(date_formatter)
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# ax2.tick_params(axis="both", width=1, labelsize=font)
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# ax2.grid(visible=True, linestyle = 'dotted')
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# ax2.set_ylabel('Мощность, %', fontsize=font)
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# ax2.set_xlabel('Время', fontsize=font)
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# ax2.legend(fontsize=font)
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# date_formatter = dates.DateFormatter(ox_dtime_format)
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# ax2.xaxis.set_major_formatter(date_formatter)
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# plt.tight_layout()
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# fig.savefig(pict_name)
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# plt.show()
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