dexplo | Data exploration library with a pandas-like API | Data Visualization library

by dexplo Python Version: 0.0.13 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | dexplo Summary

dexplo is a Python library typically used in Analytics, Data Visualization applications. dexplo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install dexplo' or download it from GitHub, PyPI.

A data analysis library comparable to pandas.

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Quality

Security

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Support

dexplo has a low active ecosystem.

It has 77 star(s) with 6 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

dexplo has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dexplo is 0.0.13

Quality

dexplo has 0 bugs and 0 code smells.

Security

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

dexplo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dexplo is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dexplo 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 are available. Examples and code snippets are not available.

dexplo saves you 886 person hours of effort in developing the same functionality from scratch.

It has 2026 lines of code, 212 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Replace the values in the Dataset
Get all the dtype info for each column
Return an iterator over the column data
Construct a DataFrame from data
Join two rows
Validate a list of columns
Check if new type is compatible
Return a new DataFrame with new values
Apply a function to the DataFrame
Return the mode of the given axis
Return a numpy ndarray
Create a new count of rows
Return a DataFrame with the missing values
Create a numpy array from a data array
Set new columns
Write the DataFrame to a csv file
Construct columns from dictionary
Returns a DataFrame containing the columns of the DataFrame
Convert a dictionary into a DataFrame
Return the covariance matrix
Compute the correlation matrix
Read data from a csv file
Aggregate a table
Create group of groups
Concatenate multiple columns
Return HTML representation of the table

Get all kandi verified functions for this library.

dexplo Key Features

No Key Features are available at this moment for dexplo.

dexplo Examples and Code Snippets

No Code Snippets are available at this moment for dexplo.

Community Discussions

Trending Discussions on dexplo

Combine multiple python files from GitHub

Multiline axis label with CategoricalAxis in Bokeh?

QUESTION

Combine multiple python files from GitHub

Asked 2021-Mar-05 at 13:36

I'm trying to create a Bar chart race with Python on Jupyter Notebook that looks like this one:

So I found a package called bar_chart_race on GitHub. However, the package has no option to add images.

Fortunately, I found this forked repository https://github.com/andresberejnoi/bar_chart_race/tree/image_labels that allows adding images.

The problems is that I normally work with only 1 python file at a time on Jupyter Notebook.

From what I see, there are so many python files and when I tried to run one of them, the error:

attempted relative import with no known parent package.

What should I do to gather all the codes together and work on my computer?

This is my first time trying to understand how things work on GitHub. Thank you in Advance.

...

ANSWER

Answered 2021-Mar-05 at 13:36

The error that you received has to do with how the files are indexed. Note that this is a fully package codebase from what I can tell (there's a setup.py), so you should be able to install it on machine in either a virtual env or conda environment (I recommend using environments to avoid it corrupting your base environment of python).

After you clone the repo, you can install it

Source https://stackoverflow.com/questions/66493400

QUESTION

Multiline axis label with CategoricalAxis in Bokeh?

Asked 2020-Jun-12 at 05:40

I'm working on a Bokeh plot, and have got it almost the way I want it. However, I'm struggling with adding multi-line axis labels.

Here’s what I have so far:

...

ANSWER

Answered 2020-Jun-12 at 05:40

Multiline labels are not possible with the stock Bokeh axes models. In order to achieve this, you'd have to create a custom Axis subclass and manage all the wrapping yourself because canvas context doesn't support it in any way.

As an alternative, you can try angled labels. A downside of such approach is having to figure out the right offsets of the plot to make sure that the labels are not cut off.

Source https://stackoverflow.com/questions/62337956

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

Vulnerabilities

No vulnerabilities reported

Install dexplo

You must have cython installed. Run python setup.py build_ext --use-cython -i.

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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