crypto_history | Aggregates coin-history data | Cryptocurrency library

by vikramaditya91 Python Version: 1.2b9 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | crypto_history Summary

crypto_history is a Python library typically used in Blockchain, Cryptocurrency, Bitcoin applications. crypto_history has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However crypto_history build file is not available. You can install using 'pip install crypto_history' or download it from GitHub, PyPI.

Aggregates coin-history (candlestick) data from multiple-exchanges and makes them available in the xarray (pandas) format

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Quality

Security

License

Reuse

Support

crypto_history has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 6 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of crypto_history is 1.2b9

Quality

crypto_history has no bugs reported.

Security

crypto_history has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

crypto_history 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

crypto_history releases are available to install and integrate.

Deployable package is available in PyPI.

crypto_history has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed crypto_history and discovered the below as its top functions. This is intended to give you an instant insight into crypto_history implemented functionality, and help decide if they suit your requirements.

Wrapper for _retry_request
Retry a request
Wrapper for _request
Return a new instance that consumes the remaining retries
Create primitives
Creates a PrimitiveDimensions Manager
Create a PrimitiveCoinHistoryObtainer
Get the raw history for a given ticker
Makes a request
Get historical history for a given ticker
Replace all coordinate data in the dataset
Decorator to register a factory
Gather a dictionary of coroutines
Write coins history to file
Drops the data from the Xarray with the given coordinates
Maps a time string to a number of seconds
Get all ticker details
Return a new data container weighted by weights
Set the type of the dataarray
Set the type of the dataset
Replace all coordins in the dataarray
Switches from string to float
Get raw market info
Get the set of ticker attributes
Get the data as a data array
Write the dataarray to disk

Get all kandi verified functions for this library.

crypto_history Key Features

No Key Features are available at this moment for crypto_history.

crypto_history Examples and Code Snippets

No Code Snippets are available at this moment for crypto_history.

Community Discussions

Trending Discussions on crypto_history

R building simple function with for loop, returns nothing

R Create new columns with ifelse-function for multiple dataframes

R Download data from the internet in multiple dataframes

R load data from the internet and delete colums simultaneously

QUESTION

R building simple function with for loop, returns nothing

Asked 2020-Feb-26 at 00:37

I have a new R package here called "crypto" to collect coin prices, I'm using it to build a simple function to source in the future, the main idea is the following:

...

ANSWER

Answered 2020-Feb-26 at 00:37

Instead of using for loop and assign another way would be to return a named list. Lists are easier to manage and avoids polluting the global environment with lot of objects.

Source https://stackoverflow.com/questions/60405115

QUESTION

R Create new columns with ifelse-function for multiple dataframes

Asked 2019-Mar-09 at 21:45

I want to create several columns with a ifelse()-condition for multiple dataframes. In this case the dataframes are 3 time-series data for cryptocurrencies. Here is the code to download the 3 dataframes automatically:

...

ANSWER

Answered 2019-Mar-09 at 20:22

You can use dplyr::mutate to add any such fields

Source https://stackoverflow.com/questions/55081349

QUESTION

R Download data from the internet in multiple dataframes

Asked 2019-Feb-06 at 14:33

I want to load data for cryptocurrency-time-series-data from the "crypto"-package and split it in multiple dataframes. Here ist my code for 5 crypto-currencies:

...

ANSWER

Answered 2019-Feb-06 at 13:47

I am not able to use the crypto package properly to give you a working example, but hopefully this will help you:

Source https://stackoverflow.com/questions/54554469

QUESTION

R load data from the internet and delete colums simultaneously

Asked 2019-Feb-06 at 10:34

I want to load Bitcoin-time-series-data from the "crypto"-package an delete some columns simultaneously. Here ist my code:

...

ANSWER

Answered 2019-Feb-06 at 10:34

I would use the select function from dplyr package.

Source https://stackoverflow.com/questions/54551250

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install crypto_history

You can install using 'pip install crypto_history' or download it from GitHub, PyPI.
You can use crypto_history 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 .

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