a python function to plot a geopandas dataframe

Related tags

Data Visualizationpretty_gpd
Overview

Pretty GeoDataFrame

A minimum python function (~60 lines) to draw pretty geodataframe.

Based on matplotlib, shapely, descartes.

Installation

just use the plot_gdf function

Usage example

We provide example data in sample_data directory.

from plot_gdf import plot_gdf
import matplotlib.pyplot as plt
import geopandas as gpd

gdf = gpd.read_file('./sample_data/sample_land_use_circle.shp')
drawing_kwargs = {
    'background': {'fc': '#F2F4CB', 'ec': '#dadbc1', 'hatch': 'ooo...', 'zorder': -1},
    
    'Water': {'fc': '#a1e3ff', 'ec': '#2F3737', 'hatch': 'ooo...', 'hatch_c': '#85c9e6', 'lw': 0, 'zorder': 2},
    
    'Transportation': {'fc': '#2F3737', 'ec': '#475657', 'alpha': 0.5, 'lw': 0.5, 'zorder': 2},
    
    'Others': {'fc': '#D2D68D', 'ec': '#AEB441', 'lw': .5, 'zorder': 3, 'hatch': 'ooo...'},
    
    'Farmland': {'fc': '#F2F4CB', 'ec': '#2F3737', 'lw': .5, 'zorder': 3, 'hatch': 'ooo...'},
    'Field': {'fc': '#D0F1BF', 'ec': '#2F3737', 'lw': .5, 'zorder': 3},
    
    'Special': {'fc': '#64B96A', 'ec': '#2F3737', 'lw': .5, 'zorder': 3},
    
    'Forest': {'fc': '#64B96A', 'ec': '#2F3737', 'lw': .5, 'hatch': 'ooo...', 'zorder': 3},
    'Grass': {'fc': '#8BB174', 'ec': '#2F3737', 'hatch_c': '#A7C497', 'hatch': 'ooo...', 'lw': .5, 'zorder': 3},
    

    'Public': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
    'Residential': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
    'Industrial': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
    'Commercial': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
}
fig, ax = plt.subplots(figsize = (8, 8), constrained_layout = True)
plot_gdf(gdf, ax, field='major', drawing_kwargs=drawing_kwargs)
plt.savefig('./test.png')

circle

another sample

ns

reference

inspired by https://github.com/marceloprates/prettymaps

漂亮的GeoDataFrame

在这个仓库，我们提供了一个简单的python函数(大概60行代码)来绘制漂亮的GeoDataFrame。这个函数构建在3个现有的库上即matplotlib, shapely, descartes。

安装

你可以直接复制plot_gdf函数来使用这个库

使用例子

参照 Usage example. 你需要为函数提供一个GeoDataFrame,指定用于绘图的column名，以及绘图的参数。

参考

这个仓库是受到https://github.com/marceloprates/prettymaps的启发而编写的。 marceloprates的工作合并了数据获取和可视化，但是如果你已经有了地理数据，那么可以直接使用本仓库来进行绘制。

Owner
haoming
开开心心，没心没肺
haoming
GitHub Repository
VDLdraw - Batch plot the log files exported from VisualDL using Matplotlib

VDLdraw Batch plot the log files exported from VisualDL using Matplotlib. At pre

Yizhou Chen 5 Sep 26, 2022
Visualize large time-series data in plotly

plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11

PreDiCT.IDLab 604 Dec 28, 2022
Geospatial Data Visualization using PyGMT

Example script to visualize topographic data, earthquake data, and tomographic data on a map

Utpal Kumar 2 Jul 30, 2022
A minimal Python package that produces slice plots through h5m DAGMC geometry files

A minimal Python package that produces slice plots through h5m DAGMC geometry files Installation pip install dagmc_geometry_slice_plotter Python API U

Fusion Energy 4 Dec 02, 2022
These data visualizations were created for my introductory computer science course using Python

Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python

Sophia Huang 12 Oct 20, 2022
script to generate HeN ipfs app exports of GLSL shaders

HeNerator A simple script to generate HeN ipfs app exports from any frag shader created with: GlslViewer GlslEditor The Book of Shaders glslCanvas VS

Patricio Gonzalez Vivo 22 Dec 21, 2022
Automatically generate GitHub activity!

Commit Bot Automatically generate GitHub activity! We've all wanted to be the developer that commits every day, but that requires a lot of work. Let's

Ricky 4 Jun 07, 2022
demir.ai Dataset Operations

demir.ai Dataset Operations With this application, you can have the empty values (nan/null) deleted or filled before giving your dataset to machine le

Ahmet Furkan DEMIR 8 Nov 01, 2022
Draw tree diagrams from indented text input

Draw tree diagrams This repository contains two very different scripts to produce hierarchical tree diagrams like this one: $ ./classtree.py collectio

Luciano Ramalho 8 Dec 14, 2022
Example scripts for generating plots of Bohemian matrices

Bohemian Eigenvalue Plotting Examples This repository contains examples of generating plots of Bohemian eigenvalues. The examples in this repository a

Bohemian Matrices 5 Nov 12, 2022
High performance, editable, stylable datagrids in jupyter and jupyterlab

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

J.P. Morgan Chase 75 Dec 15, 2022
Visualize tensors in a plain Python REPL using Sparklines

Visualize tensors in a plain Python REPL using Sparklines

Shawn Presser 43 Sep 03, 2022
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

windml Build status : The importance of wind in smart grids with a large number of renewable energy resources is increasing. With the growing infrastr

Computational Intelligence Group 125 Dec 24, 2022
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Péter Ferenc Gyarmati 1 Jan 17, 2022
A customized interface for single cell track visualisation based on pcnaDeep and napari.

pcnaDeep-napari A customized interface for single cell track visualisation based on pcnaDeep and napari. 👀 Under construction You can get test image

ChanLab 2 Nov 07, 2021
Draw interactive NetworkX graphs with Altair

nx_altair Draw NetworkX graphs with Altair nx_altair offers a similar draw API to NetworkX but returns Altair Charts instead. If you'd like to contrib

Zachary Sailer 206 Dec 12, 2022
Data Visualization Guide for Presentations, Reports, and Dashboards

This is a highly practical and example-based guide on visually representing data in reports and dashboards.

Anton Zhiyanov 395 Dec 29, 2022
1900-2016 Olympic Data Analysis in Python by plotting different graphs

🔥 Olympics Data Analysis 🔥 In Data Science field, there is a big topic before creating a model for future prediction is Data Analysis. We can find o

Sayan Roy 1 Feb 06, 2022
Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.

Visualization-of-Human3.6M-Dataset Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset. human-motion-prediction

Gaurav Kumar Yadav 5 Nov 18, 2022
A TileDB backend for xarray.

TileDB-xarray This library provides a backend engine to xarray using the TileDB Storage Engine. Example usage: import xarray as xr dataset = xr.open_d

TileDB, Inc. 14 Jun 02, 2021