Pandas : a Python Data Analysis LibraryMcKinney, Wes (Aqr)
pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally,...
the applications built with it also use a built-in Python-like macro language for interactive and batch processing. This embedded "miniPython" language is intended to be very easy to use for novices while also being complete enough to automate data processing and analysis and to encourage and ...
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more 主页 取消 保存更改 1 https://gitee.com/mirrors/pandas.git git@gitee.com:mirrors/pandas.git mirrors pandas pandas main北京...
It is not just an interface towards the framework, but a powerful library for handling scientific data in the form of datacubes, as well as managing workflow execution, enabling parallel processing on HPC systems, and supporting integration with well-known modules from the Python scientific ...
Because probabilistic models are often implemented using Python machine-learning libraries, users are often required to interact with interfaces and objects that are lower level in nature than those used in popular environments for single-cell data analysis like Bioconductor6, Seurat7 or Scanpy8. This...
Python fromazure.storage.blobimportContainerClient container = ContainerClient.from_connection_string(conn_str="<connection_string>", container_name="mycontainer") blob_list = container.list_blobs()forblobinblob_list: print(blob.name +'\n') ...
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. 简介 A Python data analysis library that is optimized for humans instead of machines.展开收起 暂无标签 https://www.oschina.net/p/agate README MIT 使用MIT 开源许可协议...
Python results = client.search(search_text="luxury")forresultinresults: print("{}: {})".format(result["hotelId"], result["hotelName"])) Creating an index You can use theSearchIndexClientto create a search index. Fields can be defined using convenientSimpleField,SearchableField, orComplexFie...
In this paper, we describe the Python Materials Genomics (pymatgen) library, a robust, open-source Python library for materials analysis. A key enabler in high-throughput computational materials science efforts is a robust set of software tools to perform initial setup for calculations (e.g., ...