importmathdefcalculate_absolute_value(num):abs_num=math.fabs(num)returnabs_num# 测试代码num1=-3.14abs_num1=calculate_absolute_value(num1)print(abs_num1)# 输出:3.14num2=2.718abs_num2=calculate_absolute_value(num2)print(abs_num2)# 输出:2.718num3=0.0abs_num3=calculate_absolute_value(num3)...
split()方法更常用于从路径中获取文件名: # Gather other propertiesprint("Is a symlink: ", os.path.islink(file_path))print("Absolute Path: ", os.path.abspath(file_path))print("File exists: ", os.path.exists(file_path))print("Parent directory: ", os.path.dirname(file_path))print("Par...
# Calculate alpha and beta values alpha = 255 / (maximum_gray - minimum_gray) beta = -minimum_gray * alpha ''' # Calculate new histogram with desired range and show histogram new_hist = cv2.calcHist([gray],[0],None,[256],[minimum_gray,maximum_gray]) plt.plot(hist) plt.plot(new_...
calculate_ADL(df):money_flow_multiplier = ((df['close'] - df['low']) - (df['high'] - df['close'])) / (df['high'] - df['low'])money_flow_volume = money_flow_multiplier * df['volume']adl = money_flow_volume.cumsum()return adl# 使用示例# adl_values = calculate_ADL(df)...
代码:defcalculate_ichimoku_cloud(df):# Tenkan-sen (Conversion Line)nine_period_high = df['high'].rolling(window=9).max() nine_period_low = df['low'].rolling(window=9).min() df['tenkan_sen'] = (nine_period_high + nine_period_low) /2# Kijun-sen (Base Line)twenty_six_period_hi...
How to calculate the absolute difference between two numbers in Python? Can you use a function to calculate the difference between two lists in Python? What is the best way to calculate the difference between two sets in Python? 在Python中计算差异值有多种方法,以下是其中一种常见的方法:...
When the import system encounters an explicit relative import in a module without __package__ set (or with it set to None ), it will calculate and store the correct value ( __name__.rpartition(‘.’)[0] for normal modules and __name__ for package initialisation modules). ...
To calculate the remainder r of dividing a number x by a number y, Python uses the equation r = x - (y * (x // y)).For example, to find 5 % -3, Python first finds (5 // -3). Since 5 / -3 is about -1.67, that means 5 // -3 is -2. Now Python multiplies that ...
Calculate new offset origin, opposite corner and# Y axis point coordinatesfactor1=-2.0#▶注释1◀origin_x=x_min+self.width*factor1origin_y=y_min+self.height*factor1origin=str(origin_x)+" "+str(origin_y)# The opposite corner of the fishnet setfactor2=2.0corner_coordx=x_max+self.widt...
shap.decision_plot(explainer2.expected_value,shap_values_nn) 能耗决策图 上图所示特征按重要程度递减排列。连接特征和输出值的红线表示较重要的特征,蓝线表示较不重要的特征。紫色线条表示中等重要性的特征。每个特征的SHAP值被累加到基本重要性中,从而提供每个特征对结果的单独贡献。特征2和特征1为最重要的因素。