DIRestInvoker | 调用 DIRestPlus 接口,实现Wind、iFinD、Choice接口调用
kandi X-RAY | DIRestInvoker Summary
kandi X-RAY | DIRestInvoker Summary
DIRestInvoker is a Python library. DIRestInvoker has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install DIRestInvoker' or download it from GitHub, PyPI.
调用 DIRestPlus 接口,实现Wind、iFinD、Choice接口调用
调用 DIRestPlus 接口,实现Wind、iFinD、Choice接口调用
Support
Quality
Security
License
Reuse
Support
DIRestInvoker has a low active ecosystem.
It has 4 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
DIRestInvoker has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DIRestInvoker is 0.2.2
Quality
DIRestInvoker has no bugs reported.
Security
DIRestInvoker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DIRestInvoker is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
DIRestInvoker releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed DIRestInvoker and discovered the below as its top functions. This is intended to give you an instant insight into DIRestInvoker implemented functionality, and help decide if they suit your requirements.
- Calculates performance for a given nav_df
- Returns a DataFrame containing rows between a date and a date range
- Get the last element of the iterable
- Try to convert string to date
- Returns a pandas dataframe with risk analysis
- Recursive function to reduce data
- Calculate the density analysis for a problem
- Return the risk analysis
- Returns a DataFrame containing rows between a date and a date range
- Returns a dataframe of the THS_DateQuery
- Returns a pandas dataframe containing the WST data
- This method allows you to access the EDB code
- The Tday Offset API endpoint
- This method returns a dataframe of WSR codes
- This method returns a dataframe containing the wss code
- This method allows you to query the ThreatConnect API
- This method allows you to call the THS_DataPool method
- Creates a dataframe containing the WSI data
- Returns a dataframe containing the wsd code
- Returns a pandas dataframe
- Returns a dataframe of the THS_RealtimeQuotes
- Returns a dataframe of ths_basicData
- This method returns the ThreatFrequencySequenceSequenceSequenceSequenceSequence
- Returns a dataframe of THS_History
- Returns a dataframe of ths_date
- Merge all nav data from a list of files
Get all kandi verified functions for this library.
DIRestInvoker Key Features
No Key Features are available at this moment for DIRestInvoker.
DIRestInvoker Examples and Code Snippets
No Code Snippets are available at this moment for DIRestInvoker.
Community Discussions
No Community Discussions are available at this moment for DIRestInvoker.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DIRestInvoker
You can install using 'pip install DIRestInvoker' or download it from GitHub, PyPI.
You can use DIRestInvoker like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use DIRestInvoker like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page