datav 0.2.0

Data visualization tools for Python.

DataV

This is an unofficial solution to draw map using Aliyun's DataV.GeoAtlas.

这是一个非官方的使用阿里云 DataV.GeoAtlas 绘制地图的解决方案。

Examples

See examples for more.

import cartopy.crs as ccrs
import cartopy.feature as cfeature
import matplotlib.pyplot as plt
import numpy as np
from cartopy.mpl.gridliner import LATITUDE_FORMATTER, LONGITUDE_FORMATTER
from matplotlib.transforms import offset_copy
from matplotlib.font_manager import FontProperties

from datav import DataVGeoAtlasFeature

# Windows 下字体可以不用这么麻烦，直接 rc 设置 SimSun 即可
simsun = FontProperties(fname="/mnt/c/Windows/Fonts/simsun.ttc")

proj = ccrs.PlateCarree()
fig = plt.figure(figsize=(14, 7))
main_box = (80.5, 82, 40.25, 41)
ax_main = plt.subplot(1, 1, 1, projection=proj)
ax_main.set_extent(main_box, crs=ccrs.PlateCarree())
ax_main.add_feature(DataVGeoAtlasFeature(659002, facecolor="darkgreen", alpha=0.2))  # 阿拉尔
ax_main.add_feature(cfeature.LAKES)
ax_main.add_feature(cfeature.RIVERS)
site = (81.196, 40.624)
ax_main.plot(
    *site,
    marker="o",
    color="green",
    markersize=10,
    transform=ccrs.Geodetic(),
)
geodetic_transform = ccrs.Geodetic()._as_mpl_transform(ax_main)
text_transform = offset_copy(geodetic_transform, units="dots", x=-25)
ax_main.text(
    site[0],
    site[1] + 0.03,
    "试验站",
    transform=text_transform,
    fontproperties=simsun,
)
xmain = np.linspace(*main_box[:2], 4)
ymain = np.linspace(*main_box[2:], 4)
ax_main.gridlines(xlocs=xmain, ylocs=ymain, linestyle=":")
# set custom formatting for the tick labels
ax_main.xaxis.set_major_formatter(LONGITUDE_FORMATTER)
ax_main.yaxis.set_major_formatter(LATITUDE_FORMATTER)
ax_main.yaxis.tick_right()
ax_main.set_xticks(xmain, crs=ccrs.PlateCarree())
ax_main.set_yticks(ymain, crs=ccrs.PlateCarree())

ax_inset = fig.add_axes([0, 0.6, 0.3, 0.35], projection=proj)
ax_inset.set_extent((73, 136, 2, 51))
ax_inset.add_feature(
    DataVGeoAtlasFeature(100000, full=True, facecolor="lightgreen", edgecolor="gray")
)
ax_inset.add_feature(DataVGeoAtlasFeature(650000, facecolor="limegreen"))
ax_inset.add_feature(DataVGeoAtlasFeature(652900, facecolor="green", edgecolor="none"))
ax_inset.add_feature(
    DataVGeoAtlasFeature(659002, facecolor="darkgreen", edgecolor="black")
)
xinset = np.linspace(73, 136, 5)
yinset = np.linspace(2, 51, 5)
ax_inset.gridlines(xlocs=xinset, ylocs=yinset, linestyle=":")
ax_inset.xaxis.set_major_formatter(LONGITUDE_FORMATTER)
ax_inset.yaxis.set_major_formatter(LATITUDE_FORMATTER)
ax_inset.xaxis.tick_top()
# set inset tick labels
ax_inset.set_xticks(xinset, crs=ccrs.PlateCarree())
ax_inset.set_yticks(yinset, crs=ccrs.PlateCarree())

plt.savefig("research_site.png", dpi=800)

Requirements

1. Cartopy (for ploting)
2. Geopandas (for parsing geojson)

NOTE

Free For Educational Use. Respect Aliyun's license.

仅供学习使用。遵守阿里云的协议。请合理使用地图数据。数据内容和本人无关。数据具体用途也和本人无关。请遵守相关法律规定。

TODO

1. respect the HTTP header last-modified

   尊重 HTTP 请求头 last-modified

2. Chinese name alias for adcode

   使用中文名替代 adcode 查询

3. More features such as line

   从 GeoJSON 中提取更多可定制的 feature。