result = pyreadr.read_r('example.RData') 输出内容 for key in result.keys(): print(f"{key}:\n{result[key]}") pyreadr读取RData文件后,返回一个字典,键是RData文件中的对象名,值是pandas DataFrame对象,方便后续数据处理。 优缺点分析 优点:pyreadr专注于RData文件的读取,简单易用,适合只需读取和处...
在Python中读取.rdata文件,你可以使用两个主要的库:pyreadr和rpy2。以下是使用这两个库读取.rdata文件的详细步骤: 使用pyreadr库读取.rdata文件 安装pyreadr库: 首先,你需要安装pyreadr库。这可以通过pip命令完成: bash pip install pyreadr 读取.rdata文件: 使用pyreadr的read_r函数读取.rdata文件,并打印读取到的...
data.decode('utf8') '# python_f' data[:4].decode('utf8') '# py' 文本模式下,利用open方法的选项参数encoding,Python提供了一种方便的方法将文件内容从Unicode编码转换为其他类型的编码: sink_path='README_copy.md' with open(path) as source: with open(sink_path,'xt',encoding='iso-8859-1'...
读取Rdata 1 2 3 4 5 pip install pyreadr import pyreadr result = pyreadr.read_r('/your.Rdata') print(result.keys()) #输出数据名 df=result['sel']) #sel为输出的数据名,数据格式为dataframe dataframe直接输出为dataframe 1 pyreadr.write_rdata("/Users/tangdaoping/Documents/the-27222.Rdata...
首先把 C:\Users\acer\Desktop\data analysis\Playing.xlsx 文件地址赋值给 filepath,然后使用pd.read_excel( )方法读取该文件,注意参数sheet_name=1意味着读取文件中的第二个表格 import pandas as pd filepath = r'C:\Users\acer\Desktop\data analysis\Playing.xlsx' ...
importpyreadrresult=pyreadr.read_r('test_data/basic/two.RData',timezone='CET') if you would like to just use your local timezone as R does, you can get it with tzlocal (you need to install it first with pip) and pass the information to read_r: ...
Submitting Author: (@vnmabus) All current maintainers: (@vnmabus) Package Name: rdata One-Line Description of Package: Read R datasets from Python. Repository Link: https://github.com/vnmabus/rdata Version submitted: 0.9.2.dev1 Editor: @...
read = firebase.get('/tutorial_firebase/datos_post', datos) 此脚本返回相同的错误,但它在 firebase 中插入“datos”值。 rdata.py 是: from firebase import firebase firebase = firebase.FirebaseApplication("https://test- 282f7.firebaseio.com/", None) ...
library(rhdf5) data = LoadH5Seurat('data.h5seurat',meta.data = FALSE, misc = FALSE) data[["mised_meta_value"]] <- h5read("data", "/obs/mised_meta_value") 如果使用这个方法仍然报错,我个人成功的方法为 #Python import h5py data_R=pd.DataFrame(data=data_py.X.todense(),index=data...
[1]".git"".gitignore"".Rbuildignore"".RData"[5]".Rhistory"".Rproj.user"".travis.yml""appveyor.yml"[9]"DESCRIPTION""docs""external""index.html"[13]"index.Rmd""inst""issues""LICENSE"[17]"man""NAMESPACE""NEWS.md""pkgdown"[21]"R""README.md""reticulate.Rproj""src"[25]"...