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change x-axis content

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gitea 2024-07-18 16:50:50 +08:00
parent 1cefe4a16b
commit e1866758b7
3 changed files with 13 additions and 5 deletions
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aio/assets/templates/durable/durable_data_current.xlsx
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aio/assets/templates/durable/durable_data_current_max.xlsx
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18
aio/code/durable_action/factory_test.py
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@ -7,6 +7,7 @@ from time import sleep, time, strftime, localtime
from pandas import DataFrame
from openpyxl import load_workbook
from math import sqrt
from numpy import power
tab_name = 'Durable Action'
count = 0
@ -215,7 +216,6 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
# f_obj.write(f"{_}\n")
_d2d_trq = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
_d2d_trq_max = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
for line in _data_list:
for item in line['data']:
@ -225,14 +225,24 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
_d2d_trq[i].extend(item['value'])
if len(_d2d_trq[0]) / 1000 > scenario_time + 1:
this_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()))
next_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()+wait_time+10+scenario_time)).split()[-1]
_df = DataFrame(_d2d_trq)
for i in range(6):
_ = sqrt(100*_df[i].apply(lambda x: (rcs[i]*x/10000)**2).sum()/len(_df[i]))
try:
_ = sqrt(_df[i].apply(lambda x: power((rcs[i]*x/1000), 2)).sum()/len(_df[i]))
except:
_df.to_excel(path+"\\err_data.xlsx")
w2t(f"{i}calculate error", 0, 11, 'red', tab_name)
del data[0][f"axis{i + 1}"][0]
data[0][f"axis{i + 1}"].append(_)
del data[0]['time'][0]
data[0]['time'].append(next_time)
_ = rcs[i] * _df[i].abs().max() / 1000
del data[1][f"axis{i + 1}"][0]
data[1][f"axis{i + 1}"].append(_)
del data[1]['time'][0]
data[1]['time'].append(this_time.split()[-1])
_df_1 = DataFrame(data[0])
_df_2 = DataFrame(data[1])
@ -247,13 +257,11 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
sleep(1)
global count
count += 1
this_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()))
next_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()+wait_time+10+scenario_time)).split()[-1]
w2t(f"[{this_time}] 当前次数：{count:09d} | 预计下次数据更新时间：{next_time}", 0, 0, '#008B8B', tab_name)
break
else:
with open(f'{path}\\device_servo_trq_feedback_0.txt', 'w', encoding='utf-8') as f_obj:
for _ in _d2d_trq['device_servo_trq_feedback_0']:
for _ in _d2d_trq[0]:
f_obj.write(f"{_}\n")
w2t("采集的数据时间长度不够，需要确认。", 0, 2, 'red', tab_name)