plotly_express | Plotly Express - Simple syntax | Data Visualization library

by plotly Python Version: v0.4.1 License: MIT

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

kandi X-RAY | plotly_express Summary

plotly_express is a Python library typically used in Analytics, Data Visualization, Jupyter, WebGL applications. plotly_express 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 plotly_express' or download it from GitHub, PyPI.

Plotly Express is now part of Plotly.py version 4 and so the plotly_express module now just re-exports the contents of plotly.express.

Support

Quality

Security

License

Reuse

Support

plotly_express has a low active ecosystem.

It has 642 star(s) with 86 fork(s). There are 46 watchers for this library.

It had no major release in the last 12 months.

There are 39 open issues and 111 have been closed. On average issues are closed in 292 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of plotly_express is v0.4.1

Quality

plotly_express has 0 bugs and 0 code smells.

Security

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

plotly_express code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

plotly_express is licensed under the MIT License. This license is Permissive.

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

Reuse

plotly_express 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.

plotly_express saves you 12 person hours of effort in developing the same functionality from scratch.

It has 34 lines of code, 0 functions and 2 files.

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

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plotly_express Key Features

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plotly_express Examples and Code Snippets

No Code Snippets are available at this moment for plotly_express.

Community Discussions

Trending Discussions on plotly_express

Dash Cytoscape from python networks graph not honouring the nodes coordinates

Get colors from stacked plot

hvplot histogram: DataError: None of the available storage backends were able to support the supplied data format

QUESTION

Dash Cytoscape from python networks graph not honouring the nodes coordinates

Asked 2022-Mar-15 at 09:07

I am trying to learn Dash Cytoscape and wanted to perform the following: generate a graph with network, apply a fruchterman-reingold algorithm to position the nodes, convert the data to the cytoscape format and display it in a Dash app. Here is the code:

...

ANSWER

Answered 2022-Mar-15 at 09:07

Did you tried

n["position"] = {"x": int(p[0] * SCALING_FACTOR), "y": int(p[1] * SCALING_FACTOR)}

in step 5?

Source https://stackoverflow.com/questions/71428375

QUESTION

Get colors from stacked plot

Asked 2020-Jan-19 at 19:55

I have this Plotly plot (blurred sensitive data):

which I got using fig = px.bar(stacked, x='Data', y='Kwota', color='Kategoria') from plotly_express.

Is there a way to obtain the colors which were automatically used for categories?

...

ANSWER

Answered 2020-Jan-19 at 19:55

As per this recent answer:

[...] the default sequence comes from layout.colorway in the active template.

In the default template called plotly this is the sequence available under px.colors.qualitative.Plotly.

This sequence is ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']

Source https://stackoverflow.com/questions/59724339

QUESTION

hvplot histogram: DataError: None of the available storage backends were able to support the supplied data format

Asked 2020-Jan-16 at 08:31

import pandas as pd
import numpy as np
import random
import copy
import feather
import plotly.graph_objects as go
import plotly.express as px
import panel as pn
import holoviews as hv
import geoviews as gv
import geoviews.feature as gf
import cartopy
import cartopy.feature as cf
from geoviews import opts
from cartopy import crs as ccrs
import hvplot.pandas # noqa
import colorcet as cc
from colorcet.plotting import swatch
hv.extension("bokeh","plotly")

...

ANSWER

Answered 2020-Jan-15 at 20:53

The problem is caused by your variable age_band being categorical, having 0 counts for some of the categories and using it with the keyword by=['age_band].

You could try converting age_band to a string, but in this case creating a barplot is nicer I think:

Source https://stackoverflow.com/questions/59756862

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

Vulnerabilities

No vulnerabilities reported

Install plotly_express

If you follow the plotly Getting Started instructions for installation, you will get access to plotly.express. However, if you have existing code that imports from plotly_express explicitly and you don't wish to change it, you can still install the latest version, which just exposes plotly.express under the plotly_express namespace.