From b3e9ece3597f2ce911fcc23158750ad8ed788b32 Mon Sep 17 00:00:00 2001
From: Felix Zhang <18200116656@qq.com>
Date: Fri, 31 Jan 2020 19:05:11 +0800
Subject: [PATCH] Daily Commit
---
.idea/wuhan_2019-nCoV.iml | 7 +++
README.MD | 7 ++-
...26\347\225\214\345\234\260\345\233\276.py" | 28 +++++++++
...60\345\233\276\346\226\207\344\273\266.py" | 38 ++++++++++++
...60\345\233\276\346\225\260\346\215\256.py" | 34 +++++++++++
...76\345\271\266\344\270\212\350\211\262.py" | 40 ++++++++++++
...6\346\227\266\351\227\264\345\233\276.png" | Bin 0 -> 87303 bytes
.../nCov_basemap_matplotlib_visual.py | 57 ++++++++++++++++++
nCov_data_analysis/china_data_analysis.py | 12 ++--
nCov_data_analysis/city_data_analysis.py | 8 ++-
10 files changed, 220 insertions(+), 11 deletions(-)
create mode 100644 "basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/001_basemap_\347\273\230\345\210\266\344\270\226\347\225\214\345\234\260\345\233\276.py"
create mode 100644 "basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/002_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GADM\345\234\260\345\233\276\346\226\207\344\273\266.py"
create mode 100644 "basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/003_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GitHub\344\270\212\347\232\204\344\270\255\345\233\275\345\234\260\345\233\276\346\225\260\346\215\256.py"
create mode 100644 "basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/004_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276\345\271\266\344\270\212\350\211\262.py"
create mode 100644 "nCov_basemap_visualization/2019-nCoV\347\226\253\346\203\205\345\217\230\345\214\226\346\227\266\351\227\264\345\233\276.png"
create mode 100644 nCov_basemap_visualization/nCov_basemap_matplotlib_visual.py
diff --git a/.idea/wuhan_2019-nCoV.iml b/.idea/wuhan_2019-nCoV.iml
index cd37703..df82b1e 100644
--- a/.idea/wuhan_2019-nCoV.iml
+++ b/.idea/wuhan_2019-nCoV.iml
@@ -5,6 +5,13 @@
+
+
+
+
+
+
+
diff --git a/README.MD b/README.MD
index 6fb4a1b..1c5f854 100644
--- a/README.MD
+++ b/README.MD
@@ -4,8 +4,8 @@
- 数据获取与分析提取
- china_shapfiles
- 地图基础数据
- - nCov_map_visualization
- - 疫情数据可视化，包含全国疫情地图、世界疫情地图、主要省份疫情地、图全国疫情随时间变化图
+ - nCov_basemap_visualization
+ - 疫情数据可视化，包含全国疫情地图、世界疫情地图、主要省份疫情地图、全国疫情随时间变化图
#### 1. 数据来源
- 数据来源，腾讯新闻：https://news.qq.com/zt2020/page/feiyan.htm
@@ -22,4 +22,5 @@
- 中国截止目前累积数据、每日累积的数据(1月13日开始进行每日数据统计)
#### 4. 数据可视化
-
+- 方式1：
+- 方式2：使用 basemap + matplotlib
diff --git "a/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/001_basemap_\347\273\230\345\210\266\344\270\226\347\225\214\345\234\260\345\233\276.py" "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/001_basemap_\347\273\230\345\210\266\344\270\226\347\225\214\345\234\260\345\233\276.py"
new file mode 100644
index 0000000..871614c
--- /dev/null
+++ "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/001_basemap_\347\273\230\345\210\266\344\270\226\347\225\214\345\234\260\345\233\276.py"
@@ -0,0 +1,28 @@
+# -*- coding:utf-8 -*-
+# project_xxx\venv\Scripts python
+
+'''
+Author: Felix
+WeiXin: AXiaShuBai
+Email: xiashubai@gmail.com
+Blog: https://blog.csdn.net/u011318077
+Date: 2020/1/31 14:17
+Desc:
+'''
+
+# 首先导入绘图包和地图包
+import matplotlib.pyplot as plt
+from mpl_toolkits.basemap import Basemap
+
+# 第一步：设置图片大小及分辨率
+plt.figure(figsize=(16, 8), dpi=128)
+
+# 第二步：创建一个地图
+m = Basemap()
+
+# 第三步：绘制地图上的线条，比如海岸线，国界线
+m.drawcoastlines(linewidth=1,linestyle='solid',color='black') # 绘制海岸线
+m.drawcountries(linewidth=1,linestyle='solid',color='black') # 绘制国界线
+
+# 第四步：显示图形
+plt.show()
\ No newline at end of file
diff --git "a/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/002_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GADM\345\234\260\345\233\276\346\226\207\344\273\266.py" "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/002_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GADM\345\234\260\345\233\276\346\226\207\344\273\266.py"
new file mode 100644
index 0000000..3c36c15
--- /dev/null
+++ "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/002_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GADM\345\234\260\345\233\276\346\226\207\344\273\266.py"
@@ -0,0 +1,38 @@
+# -*- coding:utf-8 -*-
+# project_xxx\venv\Scripts python
+
+'''
+Author: Felix
+WeiXin: AXiaShuBai
+Email: xiashubai@gmail.com
+Blog: https://blog.csdn.net/u011318077
+Date: 2020/1/31 14:47
+Desc:
+'''
+
+# 首先导入绘图包和地图包
+import matplotlib.pyplot as plt
+from mpl_toolkits.basemap import Basemap
+
+# 第一步：设置图片大小及分辨率
+plt.figure(figsize=(16, 8), dpi=300)
+
+# 第二步：创建一个地图，设置经度纬度范围，只显示中国区域范围，projection选择投影模式
+m = Basemap(llcrnrlon=77, llcrnrlat=14, urcrnrlon=140, urcrnrlat=51, projection='lcc', lat_1=33, lat_2=45, lon_0=100)
+# 读取中国行政区文件,使用国即组织GADM的地图文件，网站地址https://gadm.org/country
+# 大陆，台湾，港澳地区文件是分开的，都要进行读取，并且藏南地区和一些岛屿未标注出来
+# 推荐使用案例003，网上已经整理好的中国地图文件
+m.readshapefile('../china_shapfiles/gadm36_CHN_shp/gadm36_CHN_1', 'china', drawbounds=True)
+m.readshapefile('../china_shapfiles/gadm36_HKG_shp/gadm36_HKG_1', 'hkg', drawbounds=True)
+m.readshapefile('../china_shapfiles/gadm36_MAC_shp/gadm36_MAC_1', 'mac', drawbounds=True)
+m.readshapefile('../china_shapfiles/gadm36_TWN_shp/gadm36_TWN_1', 'twn', drawbounds=True)
+
+# m.readshapefile('../china_shapfiles/china-shapefiles-simple-version/china', 'china', drawbounds=True)
+
+# 上面使用读取了本地地图文件，就不需要使用basemap绘制海岸线和国界线了，避免混乱
+# 第三步：绘制地图上的线条，比如海岸线，国界线
+# m.drawcoastlines(linewidth=1,linestyle='solid',color='black') # 绘制海岸线
+# m.drawcountries(linewidth=1,linestyle='solid',color='black') # 绘制国界线
+
+# 第四步：显示图形
+plt.show()
\ No newline at end of file
diff --git "a/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/003_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GitHub\344\270\212\347\232\204\344\270\255\345\233\275\345\234\260\345\233\276\346\225\260\346\215\256.py" "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/003_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GitHub\344\270\212\347\232\204\344\270\255\345\233\275\345\234\260\345\233\276\346\225\260\346\215\256.py"
new file mode 100644
index 0000000..a2bf5ac
--- /dev/null
+++ "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/003_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276_GitHub\344\270\212\347\232\204\344\270\255\345\233\275\345\234\260\345\233\276\346\225\260\346\215\256.py"
@@ -0,0 +1,34 @@
+# -*- coding:utf-8 -*-
+# project_xxx\venv\Scripts python
+
+'''
+Author: Felix
+WeiXin: AXiaShuBai
+Email: xiashubai@gmail.com
+Blog: https://blog.csdn.net/u011318077
+Date: 2020/1/31 15:31
+Desc:
+'''
+# 首先导入绘图包和地图包
+import matplotlib.pyplot as plt
+from mpl_toolkits.basemap import Basemap
+
+# 第一步：设置图片大小及分辨率
+plt.figure(figsize=(16, 8), dpi=300)
+
+# 第二步：创建一个地图，设置经度纬度范围，只显示中国区域范围，projection选择投影模式,兰勃特投影
+m = Basemap(llcrnrlon=77, llcrnrlat=14, urcrnrlon=140, urcrnrlat=51, projection='lcc', lat_1=33, lat_2=45, lon_0=100)
+# 读取中国行政区文件,使用GitHub上已经整理好的地图文件，drawbounds参数显示图形
+# 藏南区域和岛屿都有明显的标注，可以对比002结果，信息更加丰富，藏南更准确
+m.readshapefile('../china_shapfiles/china-shapefiles-simple-version/china', 'china', drawbounds=True)
+# 九段线地图数据
+m.readshapefile('../china_shapfiles/china-shapefiles-simple-version/china_nine_dotted_line', 'china', drawbounds=True)
+
+
+# 上面使用读取了本地地图文件，就不需要使用basemap绘制海岸线和国界线了，避免混乱
+# 第三步：绘制地图上的线条，比如海岸线，国界线
+# m.drawcoastlines(linewidth=1,linestyle='solid',color='black') # 绘制海岸线
+# m.drawcountries(linewidth=1,linestyle='solid',color='black') # 绘制国界线
+
+# 第四步：显示图形
+plt.show()
\ No newline at end of file
diff --git "a/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/004_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276\345\271\266\344\270\212\350\211\262.py" "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/004_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276\345\271\266\344\270\212\350\211\262.py"
new file mode 100644
index 0000000..3d8054a
--- /dev/null
+++ "b/basemap_matplotlib_\344\275\277\347\224\250\346\241\210\344\276\213/004_basemap_\347\273\230\345\210\266\344\270\255\345\233\275\345\234\260\345\233\276\345\271\266\344\270\212\350\211\262.py"
@@ -0,0 +1,40 @@
+# -*- coding:utf-8 -*-
+# project_xxx\venv\Scripts python
+
+'''
+Author: Felix
+WeiXin: AXiaShuBai
+Email: xiashubai@gmail.com
+Blog: https://blog.csdn.net/u011318077
+Date: 2020/1/31 16:38
+Desc:
+'''
+import matplotlib.pyplot as plt
+from mpl_toolkits.basemap import Basemap
+from matplotlib.patches import Polygon
+
+# 第一步：设置图片大小及分辨率
+plt.figure(figsize=(16, 8), dpi=300)
+
+# 第二步：创建一个地图，设置经度纬度范围，只显示中国区域范围，projection选择投影模式,兰勃特投影
+m = Basemap(llcrnrlon=77, llcrnrlat=14, urcrnrlon=140, urcrnrlat=51, projection='lcc', lat_1=33, lat_2=45, lon_0=100)
+# 读取中国行政区文件,使用GitHub上已经整理好的地图文件，drawbounds参数显示图形
+# 藏南区域和岛屿都有明显的标注，可以对比002结果，信息更加丰富，藏南更准确
+m.readshapefile('../china_shapfiles/china-shapefiles-simple-version/china', 'china', drawbounds=True)
+# 九段线地图数据
+m.readshapefile('../china_shapfiles/china-shapefiles-simple-version/china_nine_dotted_line', 'china_nine', drawbounds=True)
+
+# 第三步：上色
+
+ax = plt.gca()
+
+for nshape, seg in enumerate(m.china):
+ poly = Polygon(seg, facecolor='red', edgecolor='black')
+ ax.add_patch(poly)
+
+
+
+
+# 第四步：显示图形
+plt.show()
+
diff --git "a/nCov_basemap_visualization/2019-nCoV\347\226\253\346\203\205\345\217\230\345\214\226\346\227\266\351\227\264\345\233\276.png" "b/nCov_basemap_visualization/2019-nCoV\347\226\253\346\203\205\345\217\230\345\214\226\346\227\266\351\227\264\345\233\276.png"
new file mode 100644
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