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dataAnalyse.py 1.87 KB
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Cybersh1t 提交于 2021-11-02 19:08 . Gradient Aimimg Update
import pandas as pd
import numpy as np
from Tool import GrabScreen
import cv2
import time
import numpy as np
from Tool import keys
import matplotlib.pyplot as plt
"""wait_time = 3
#size=[512,256]
size= [2560,1080]
#window_size = (0, 0, 1920, 1080)
window_size = (int(2560/2-size[0]*0.5), int(1080/2-size[1]*0.5), int(2560/2+size[0]*0.5), int(1080/2+size[1]*0.5))
lower = np.array([89, 146, 170])
upper = np.array([95, 230, 255])
lower_R = np.array([0, 43, 46])
upper_R = np.array([10, 255, 255])
#origin_state = [size[0] / 2, size[1] / 2]
origin_state = [2560/2, 1080/2]
keys = keys.Keys()
def move_test(keys,size):
for i in range(size):
keys.directMouse(-1 * i, 0)
screen = GrabScreen.grab_screen(window_size)
screen_temp = cv2.cvtColor(screen, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(screen_temp, lower, upper)
x, y, w, h = cv2.boundingRect(mask)
value=x-1280+0.5*w
for i in range(size):
keys.directMouse(1 * i, 0)
return value
value = []
for i in list(range(wait_time))[::-1]:
print(i + 1)
time.sleep(1)
for i in range(1,70):
temp = move_test(keys,i)
value.append(temp)
print(value)"""
import math
data = [1.0, 2.0, 2.5, 3.5, 4.0, 5.5, 8.0, 9.0, 13.0, 14.0, 17.0, 22.5, 25.5, 28.0, 33.5, 37.0, 42.0, 47.0, 54.0, 59.0, 63.5, 71.0, 78.5, 83.0, 90.5, 97.5, 108.5, 114.0, 122.0, 131.0, 141.5, 150.0, 159.5, 169.5, 180.5, 191.5, 204.0, 214.5, 229.5, 239.0, 253.5, 267.0, 279.5, 296.0, 312.0, 327.0, 342.0, 358.0, 375.0, 393.5, 414.5, 432.0, 452.0, 473.5, 496.0, 518.5, 543.0, 570.5, 595.0, 623.5, 653.0, 685.0, 718.0, 753.5, 793.5, 832.0, 875.5, 921.5, 972.0]
true_data=[]
x_data=[]
y_data=[]
for i in range(len(data)):
true_data.append([data[i],(i+1)**2])
x_data.append((i+1)**2/5)
for i in range(1,1000):
y_data.append(i)
plt.plot(data,x_data)
plt.plot(y_data)
plt.show()
for i in range(len(data)):
print(str(true_data[i])[1:-1])
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