dfsql | SQL interface to Pandas | SQL Database library

by mindsdb Python Version: 0.6.8 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | dfsql Summary

dfsql is a Python library typically used in Database, SQL Database, Pandas applications. dfsql 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 dfsql' or download it from GitHub, PyPI.

SQL interface to Pandas

Support

Quality

Security

License

Reuse

Support

dfsql has a low active ecosystem.

It has 20 star(s) with 2 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 8 have been closed. On average issues are closed in 74 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dfsql is 0.6.8

Quality

dfsql has no bugs reported.

Security

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

License

dfsql 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

dfsql 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, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Return a pandas dataframe
Returns a pandas dataframe
Preprocess pandas dataframe
Create a DataSource from the given metadata directory
Save table metadata
Add a table to data source
Check if arguments are valid
Check if thing is a numeric
Get the output
Execute the data source
Returns True if the argument is in the given list of arguments
Drop table
Determine whether or not the target is an output
Determine whether or not a module is output
Get the output of the module
Check that arguments are valid
Return the output of a matcher
Convert keys from keys to lower case

Get all kandi verified functions for this library.

dfsql Key Features

No Key Features are available at this moment for dfsql.

dfsql Examples and Code Snippets

No Code Snippets are available at this moment for dfsql.

Community Discussions

Trending Discussions on dfsql

Connecting AzureDatabricks on a CosmosDB MongoDB API database

Python-how to pass functions in df to.csv

Python Quick Question about writing a dataframe to csv-Naming conventions

QUESTION

Connecting AzureDatabricks on a CosmosDB MongoDB API database

Asked 2020-Jul-01 at 12:15

I am trying to connect a Python notebook in an Azure Databricks cluster on a CosmosDB MongoDB API database.

I'm using the mongo connector 2.11.2.4.2 Python 3

My code is as follows:

...

ANSWER

Answered 2020-Jul-01 at 08:14

Make sure you using latest Azure Cosmos DB Spark Connector.

Download the latest azure-cosmosdb-spark library for the version of Apache Spark you are running:

Spark 2.4: azure-cosmosdb-spark_2.4.0_2.11-2.1.2-uber.jar

Spark 2.3: azure-cosmosdb-spark_2.3.0_2.11-1.2.2-uber.jar

Spark 2.2: azure-cosmosdb-spark_2.2.0_2.11-1.1.1-uber.jar
Upload the downloaded JAR files to Databricks following the instructions in Upload a Jar, Python Egg, or Python Wheel.
Install the uploaded libraries into your Databricks cluster.

Reference: Azure Databricks - Azure Cosmos DB

Source https://stackoverflow.com/questions/62217526

QUESTION

Python-how to pass functions in df to.csv

Asked 2020-Jun-18 at 11:41

I have this:

...

ANSWER

Answered 2020-Jun-18 at 10:00

You have to pass the variable filename the same way you passed the datetime before:

Source https://stackoverflow.com/questions/62447263

QUESTION

Python Quick Question about writing a dataframe to csv-Naming conventions

Asked 2020-Jun-17 at 16:28

I have to read a table every 30 minutes and I have made the query which only takes updates rows.

...

ANSWER

Answered 2020-Jun-17 at 14:31

You could try adding the time to it - guaranteeing a unique name and making it easier to understand when the file was made.

Make the filename something like this:

Source https://stackoverflow.com/questions/62428719

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

Vulnerabilities

No vulnerabilities reported

Install dfsql

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