heatmapanimation 0.0.6

Generate heatmap animation with given data and geojson

heatmapanimation

Python package for generating heatmap animation with given data and geojson.

English | 简体中文

Introduction

If you want to generate a heatmap animation with given data and geojson file or url, you can use this package. You can also type the region name or code replacing the geojson file.

Use 高德地图地理/逆地理编码 get the region code.

Use 阿里云数据可视化平台 get the geojson file.

Note: Currently, the region name must be in Chinese.

Install

pip install heatmapanimation

Usage

import heatmapanimation as hma

heatmap = hma.Heatmap() # create a heatmap object

# set the configuration
heatmap.region = '北京'
heatmap.datafile = './data/data.csv'
heatmap.run_x() # run the animation

API Reference

class heatmapanimation.Heatmap()

You must set a region and datafile before run the animation.

• region

  The region name you want to generate the heatmap animation. Must be type Chinese region in Chinese.

• region_code

  The region code you want to generate the heatmap animation. Must be type Chinese region code.

• region_url

  The url of the geojson file.Or the geojson file path.

• datafile

  The data file path.

• data

  The data you want to generate the heatmap animation.

  Options: dict or list or json or pandas.DataFrame.

• output_format

  The output format of the animation.

  Options: 'gif' or 'mp4'.

• fig_name

  The name of the output file.

  Note: If you don't set the fig_name, the output file will be named as the region name.

• color_map

  The colormap of the heatmap.

  Options: 'Blues', 'BuGn', 'BuPu', 'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd', 'PuBu'.

  All the colormaps are in matplotlib.

  Default: 'Reds'

• isLegend

  Whether to show the legend.

  Options: True or False.

  Default: False.

• legend_label

  The label of the legend.

  Options: str.

  Default: 'Temperature'.

• legend_location

  The location of the legend.

  Options: 'right' or 'right'.

  Default: 'right'.

• legend_min

  The min value of the legend.

  Options: int or float.

  Default: the minimum of the data.

• legend_max

  The max value of the legend.

  Options: int or float.

  Default: the maximum of the data.

• run_x()

  Run the animation and generate frame image and synthetic GIF. Currently, the output format is only 'gif'.

• run()

  Run the animation with another method which can not show the legend. But the output format is gif, mp4, jshtml and html5.

License

MIT