要解决"list"对象没有"apply"属性的问题,可以采取以下几种方法: 检查对象类型:首先,确保你操作的对象是一个列表(list)类型的对象。可以使用type()函数来检查对象的类型,例如: 代码语言:txt 复制 my_list = [] if type(my_list) == list: # 执行操作 else: # 对象不是列表类型,进行相应处理...
#Import the required packages #Import pandas to read csv import pandas #Import numpy for array related operations import numpy #Import sklearn's PCA algorithm from sklearn.decomposition import PCA #URL for loading the dataset url = "https://archive.ics.uci.edu/ml/machine-learning-databases/pima...
在 Python 中。现在我正在尝试运行 R 脚本来执行 PCA。但是,pca()只接受非常量列(=方差不为 0)。例如,只有 Col2 可以被接受为以下非常量列:Col1 Col2 Col30.0 1.2 4.00.0 1.5 4.00.0 1.3 4.00.0 1.1 4.0我以为我删除了所有常量列。但是,我收到一个错误:> Error in prcomp.default(data, center = ...
Python Copy import pandas as pd import seaborn as sns from sklearn.decomposition import PCA import matplotlib.pyplot as plt # Load the penguins dataset penguins = pd.read_csv('https://raw.githubusercontent.com/MicrosoftLearning/dp-data/main/penguins.csv') # Remove m...
Python is by far the most popular language in science, due in no small part to the ease at which it can be used and the vibrant ecosystem of user-generated packages. To install packages, there are two main methods: Pip (invoked as pip install), the package manager that comes bundled wi...
Python is by far the most popular language in science, due in no small part to the ease at which it can be used and the vibrant ecosystem of user-generated packages. To install packages, there are two main methods: Pip (invoked as pip install), the package manager that comes bundled wi...
pca953x.dtbo dtbs-with-symbols> DTCO arch/arm64/boot/dts/overlays/pcie-32bit-dma.dtbo dtbs-with-symbols> DTCO arch/arm64/boot/dts/overlays/pibell.dtbo dtbs-with-symbols> DTCO arch/arm64/boot/dts/overlays/pifacedigital.dtbo dtbs-with-symbols> DTCO arch/arm64/boot/dts/overlays/pifi-40....
In an earlier post, I used mclapply to kick off parallel R processes and to demonstrate inter-process synchronization via the flock package. Although I have been using this approach to parallelism for a few years now, I admit, it has certain important di
One of my more popular posts is A brief introduction to “apply” in R. Come August, it will be four years old. Technology moves on, old blog posts do not. So: thanks to BioStar user zx8754 for pointing me to this Stack Overflow post, in which someone co
only length-1 arrays can be converted to Python scalars What is the process of utilizing sklearn to apply rolling functions, such as standardization and PCA, in sequence? Upon further reflection, I acknowledge that my initial question was not sufficiently articulate. Therefore, I will attempt to...