146 lines
4.8 KiB
Python
146 lines
4.8 KiB
Python
import matplotlib.pyplot as plt
|
||
from matplotlib import dates
|
||
import pandas as pd
|
||
from datetime import datetime
|
||
import sys
|
||
|
||
font = 4
|
||
print_width = 6
|
||
print_height = 4
|
||
width = 1
|
||
plot_windows = 2
|
||
channels = [0, 0, 1, 0, 0, 1]
|
||
asotr_kit = '01'
|
||
|
||
xborders=False
|
||
begin=0;
|
||
end=0;
|
||
|
||
path_B = '/home/danila/Danila/work/MVN/flight/beta_forecast/'
|
||
fname_B = 'beta_2025.xlsx'
|
||
path = '/home/danila/Danila/work/MVN/Soft/asotr_csv/data/'
|
||
fname = 'asotr' + asotr_kit + '_data_T.csv'
|
||
fname_pow = 'asotr' + asotr_kit + '_data_P.csv'
|
||
pict_name = path + 'ASOTR' + asotr_kit + '_flight_T_P_all'
|
||
ox_dtime_format = '%d.%m %H:%M:%S'
|
||
|
||
legend=['БРД1', 'БРД2', 'БРД3', 'БРД4', 'плита МУП МВН, датчик1', 'плита МУП МВН, датчик 2']
|
||
width=[1, 1, 1, 1, 1, 1]
|
||
|
||
marker = ['-', '-', '-', '-', '--', '-'];
|
||
width_arr = [1, 0.5, 0.2, 0.1, 1, 1]
|
||
|
||
fname = [path + fname, path + fname_pow]
|
||
|
||
fname_b = path_B + fname_B
|
||
|
||
dateparse = lambda x: datetime.strptime(x, "%d.%m.%Y %H:%M:%S.%f")
|
||
|
||
dparse_b = lambda x: datetime.strptime(x, '%Y-%m-%d %H:%M:%S')
|
||
|
||
data_b = pd.read_excel(fname_b,
|
||
sheet_name=0,
|
||
usecols=[0,1,2],
|
||
header=4,
|
||
names=['turn_num', 'beta_angle', 'timestamp'],
|
||
parse_dates=['timestamp'],
|
||
date_parser=dparse_b)
|
||
|
||
|
||
data = [pd.read_csv(fname[0], sep=';', parse_dates=['timestamp'], date_parser=dateparse),
|
||
pd.read_csv(fname[1], sep=';', parse_dates=['timestamp'], date_parser=dateparse)]
|
||
|
||
ch= [[], [], [], [], [], []]
|
||
ch_signs = ["temp", "pow"]
|
||
data_dict = {"temp": ch, "pow": ch, "time": []}
|
||
data_dict["time"] = data[0]['timestamp']
|
||
col=['ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7']
|
||
|
||
for j in range(2):
|
||
for index, row, in data[j].iterrows():
|
||
for i in range(6):
|
||
ch[i].append(float(row[col[i]]))
|
||
data_dict[ch_signs[j]] = ch
|
||
ch= [[], [], [], [], [], []]
|
||
|
||
len_data = [len(data_dict['temp'][0]), len(data_dict['pow'][0])]
|
||
len_ = min(len_data)
|
||
|
||
if xborders == False:
|
||
begin = 0
|
||
end = len_ - 1
|
||
|
||
if plot_windows == 1:
|
||
fig, ax = plt.subplots(figsize=(print_width, print_height), dpi=200)
|
||
|
||
i = 0
|
||
for elem in data_dict['temp']:
|
||
if channels[i] == 1:
|
||
ax.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
|
||
i += 1
|
||
|
||
# ax.axvline(x = data['timestamp'][300], color='r', linestyle='-.', label="power=100")
|
||
# ax.axvline(x = data['timestamp'][1500], color='b', linestyle='dotted', label="power=0")
|
||
ax.tick_params(axis="both", width=1, labelsize=font)
|
||
ax.grid(visible=True, linestyle = 'dotted')
|
||
ax.set_ylabel('Температура, $^\circ$C', fontsize=font)
|
||
ax.set_xlabel('Время', fontsize=font)
|
||
ax.legend(fontsize=font)
|
||
|
||
date_formatter = dates.DateFormatter(ox_dtime_format)
|
||
ax.xaxis.set_major_formatter(date_formatter)
|
||
|
||
plt.tight_layout()
|
||
fig.savefig(pict_name)
|
||
plt.show()
|
||
|
||
elif plot_windows == 2:
|
||
|
||
fig = plt.figure(figsize=(print_width, print_height), dpi=200)
|
||
ax1 = fig.add_subplot(2, 1, 1)
|
||
ax2 = fig.add_subplot(2, 1, 2, sharex=ax1)
|
||
|
||
i = 0
|
||
for elem in data_dict['temp']:
|
||
if channels[i] == 1:
|
||
ax1.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
|
||
i += 1
|
||
|
||
ax3 = ax1.twinx()
|
||
ax3.plot(data_b['timestamp'], data_b['beta_angle'], marker[4], color='r', linewidth=width[5], label='угол Бета')
|
||
ax3.set_ylabel('Угол Бета', fontsize=font)
|
||
ax3.tick_params(axis="y", width=1, labelsize=font)
|
||
ax3.legend(fontsize=font, loc='upper right')
|
||
|
||
i = 0
|
||
for elem in data_dict['pow']:
|
||
if channels[i] == 1:
|
||
ax2.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
|
||
i += 1
|
||
|
||
# ax1.axvline(x = data['timestamp'][300], color='r', linestyle='-.', label="power=100")
|
||
# ax.axvline(x = data['timestamp'][1500], color='b', linestyle='dotted', label="power=0")
|
||
ax1.tick_params(axis="both", width=1, labelsize=font)
|
||
ax1.grid(visible=True, linestyle = 'dotted')
|
||
ax1.set_ylabel('Температура, $^\circ$C', fontsize=font)
|
||
ax1.set_xlabel('Время', fontsize=font)
|
||
ax1.legend(fontsize=font, loc='lower right')
|
||
|
||
date_formatter = dates.DateFormatter(ox_dtime_format)
|
||
ax1.xaxis.set_major_formatter(date_formatter)
|
||
|
||
ax2.tick_params(axis="both", width=1, labelsize=font)
|
||
ax2.grid(visible=True, linestyle = 'dotted')
|
||
ax2.set_ylabel('Мощность, %', fontsize=font)
|
||
ax2.set_xlabel('Время', fontsize=font)
|
||
ax2.legend(fontsize=font, loc='lower right')
|
||
|
||
date_formatter = dates.DateFormatter(ox_dtime_format)
|
||
ax2.xaxis.set_major_formatter(date_formatter)
|
||
|
||
plt.title('АСОТР ' + asotr_kit, fontsize=font)
|
||
plt.tight_layout()
|
||
fig.savefig(pict_name)
|
||
plt.show()
|
||
|