quandl-python | Quandl technology platform | REST library
kandi X-RAY | quandl-python Summary
kandi X-RAY | quandl-python Summary
quandl-python is a Python library typically used in Web Services, REST applications. quandl-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install quandl-python' or download it from GitHub, PyPI.
This is the official documentation for Quandl's Python Package. The package can be used to interact with the latest version of the Quandl RESTful API. This package is compatible with python v2.7.x and v3.x+.
This is the official documentation for Quandl's Python Package. The package can be used to interact with the latest version of the Quandl RESTful API. This package is compatible with python v2.7.x and v3.x+.
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Quality
Security
License
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Support
quandl-python has a medium active ecosystem.
It has 1311 star(s) with 342 fork(s). There are 130 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 65 have been closed. On average issues are closed in 37 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of quandl-python is v3.4.8
Quality
quandl-python has 0 bugs and 0 code smells.
Security
quandl-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
quandl-python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
quandl-python is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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quandl-python releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed quandl-python and discovered the below as its top functions. This is intended to give you an instant insight into quandl-python implemented functionality, and help decide if they suit your requirements.
- Get data from dataset .
- Get point in time .
- Fetch data from a datatable .
- Returns a pandas dataframe
- Handle an API error response .
- Convert GET request options to dict .
- Request file info .
- Bulk download .
- Bulk download .
- Export a datatable table .
Get all kandi verified functions for this library.
quandl-python Key Features
No Key Features are available at this moment for quandl-python.
quandl-python Examples and Code Snippets
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CREATE TABLE "XXX" (
"Id" INTEGER NOT NULL,
"Date" DATETIME NOT NULL,
"Open" FLOAT,
"High" FLOAT,
"Low" FLOAT,
"Close" FLOAT,
PRIMARY KEY("Id" AUTOINCREMENT)
);
CREATE INDEX "IX_
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import quandl
quandl.ApiConfig.api_key = 'YOUR_KEY'
quandl.get('EOD/SPY', start_date='2021-02-26', end_date='2021-02-26')
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import pandas as pd
import quandl
df = pd.DataFrame(quandl.get('WIKI/TSLA'))
print(df.head(n=10))
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@app.callback(Output(component_id='graph1',
component_property='figure'),
[Input(component_id='country-list1',
component_property='value'),
Input(component_id='indicator
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td = df.index[1] - df.index[0]
freq = td.days # or explore td.components
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import quandl
quandl.ApiConfig.api_key = 'your-api-key'
gold = quandl.get('LBMA/GOLD', rows=1, column_index='2')
print(gold.iloc[0].values[0])
1944.75
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simulation_df.quantile(.95, axis=1)
simulation_df.T.describe(percentiles=[.95, .75, .5, .25, .05])
Community Discussions
Trending Discussions on quandl-python
QUESTION
Problems importing quandl module
Asked 2019-Jul-09 at 23:22
ANSWER
Answered 2019-Jul-08 at 16:19Try pip3 install quandl
. It usually works for Python 3.x
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install quandl-python
The installation process varies depending on your python version and system used. However in most cases the following should work:.
If you wish to work on local development please clone/fork the git repo and use pip install -r requirements.txt to setup the project.
If you wish to work on local development please clone/fork the git repo and use pip install -r requirements.txt to setup the project.
Support
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