chartify | Python library that makes it easy for data scientists | Data Visualization library
kandi X-RAY | chartify Summary
kandi X-RAY | chartify Summary
Python library that makes it easy for data scientists to create charts.
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Top functions reviewed by kandi - BETA
- Draw a scatter plot
- Return a DataSource for the named column
- Generate aannonical series name
- Determines the color order of the data
- Draw a line
- Set the default format
- Cast datetime to datetime
- Convert hl to RGB
- Convert from Hue to RGB
- Convert a hexadecimal hexadecimal representation to a string
- Convert hexadecimal to rgb
- Show chart layout
- Plot a categorical color palette type
- Plot a color palette
- Create a custom color palette
- Plot examples
- Convert hexadecimal to rgb
- Generate example data
- Display the figure
- Style the color palette
- Convert an RGB value to HSL
- Convert web color to hex
- Compute the area of a dataframe
- Draws a line
- Plots the radial radius chart
- Return an RGB color from an object
- Returns a DataFrame with the styling of the color palette
chartify Key Features
chartify Examples and Code Snippets
Community Discussions
Trending Discussions on chartify
QUESTION
I am trying to create a custom HTML element that allows me to create pie charts easily. I have been very successful so far except for the fact that I cant seem to get the actual canvas drawing to be proportioned correctly.
...ANSWER
Answered 2022-Apr-08 at 01:47The canvas element has default values for its height
and width
attributes of 150
and 300
, respectively. If you need your canvas to be square, you need to specify these sizes to be the same.
This example tweaks your el_width
variable to read the width off the canvas directly, instead of using getBoundingClientRect
. I've also tweaked the way the canvas
element is created so it has width
and height
attributes, and its 100% width and height styles are set via CSS:
QUESTION
The following example should work, but it requires the selenium
package (as I understand, under the hood chartify
builds an interactive chart using the bokeh
package and takes a screenshot with selenium
)
ANSWER
Answered 2020-Jan-30 at 20:03It looks like they have hardcoded the creation and configuration of the webdriver in a Chart method _initialize_webdriver
.
If you want something different than what they do, I think monkey-patching the Chart. _initialize_webdriver
method to override it is the only current option. It might be worth opening a issue on their GH tracker to discuss adding the ability to customize webdriver creation.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install chartify
You can use chartify 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.
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