Plotly-express-17-图例legend和标题设置
本文中介绍的是Plotly中对于图形图例设置的技巧,主要包含:
- 整体基本设置
- 修改图例名称
- 隐藏图例入口(第一个图例)
- 图例位置显示
- 自定义优美图例
- 图例散点大小设置
- 组图例设置
- 标题设置
Stay Foolish Stay Hungry
本文中介绍的是Plotly中对于图形图例设置的技巧,主要包含:
本文中介绍的是利用Plotly绘图小技巧:
本文中介绍的是如何在plotly中实现水平方向的柱状图:
The ever-changing mobile landscape is a challenging space to navigate. . The percentage of mobile over desktop is only increasing. Android holds about 53.2% of the smartphone market, while iOS is 43%. To get more people to download your app, you need to make sure they can easily find your app. Mobile app analytics is a great way to understand the existing strategy to drive growth and retention of future user.
With million of apps around nowadays, the following data set has become very key to getting top trending apps in iOS app store. This data set contains more than 7000 Apple iOS mobile application details. The data was extracted from the iTunes Search API at the Apple Inc website. R and linux web scraping tools were used for this study.
本文中介绍的是在Dash中如何实现表格,往表格中添加数据,使用的是app.layout = dash_table.DataTable()
文本中介绍的是如何利用plotly
来操作表格,使用的go.Table
方法
go.Table
provides a Table object for detailed data viewing. The data are arranged in a grid of rows and columns. Most styling can be specified for header, columns, rows or individual cells. Table is using a column-major order, ie. the grid is represented as a vector of column vectors.
主要的内容包含:
在很多的实际业务需求中,需要将多个图形集中放置一个figure
中,而不是单独显示,在这种情况下我们需要使用子图的概念。本文中讲解如何在plotly中使用plotly.graph_objects
绘制各种形式的子图
Figures with subplots are created using the
make_subplots
function from theplotly.subplots
module.
最近,利用Python
爬取了某个网站上关于深圳租房的一些信息,获得了2000*12
的数据,然后利用pandas
及第三方的库进行了数据清洗、分析和可视化的操作,对深圳的租房现状有了初步分析。
本文中介绍的是如何利用px.pie和go.Pie来绘制饼图,以及在饼图中的相关参数设置。
A pie chart is a circular statistical chart, which is divided into sectors to illustrate numerical proportion.