地图在Python中使用geopandas无法正确检测颜色。

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英文:

Map does not correctly detect colors with geopandas in Python

问题

我使用geopandas创建了一个地图，其中的颜色是根据一些条件确定的。然而，我的代码在颜色方面没有正常工作：红色、黄色和绿色。这是我尝试过的代码：

  1. def color_mapping(row):
  2.     if row['pedidos_venta'] > 10000:
  3.         return 'green'
  4.     elif row['pedidos_venta'] > 2000:
  5.         return 'yellow'
  6.     else:
  7.         return 'red'
  9. mapa_pedidos_venta['color'] = mapa_pedidos_venta.apply(color_mapping, axis=1)
  10. mapa_pedidos_venta.plot(column='color')

然而，我的结果是这样的：

地图在Python中使用geopandas无法正确检测颜色。

我不明白为什么颜色范围与我提供的不同。

英文:

I'm creating a map with geopandas whose colors are determinated by some conditions. However, my code is not working properly in relation to colors: red, yellow and green. This that I've tried:

  2. def color_mapping(row):
  3.     if row['pedidos_venta'] > 10000:
  4.         return 'green'
  5.     elif row['pedidos_venta'] > 2000:
  6.         return 'yellow'
  7.     else:
  8.         return 'red'
  11. mapa_pedidos_venta['color'] = mapa_pedidos_venta.apply(color_mapping, axis=1)
  12. mapa_pedidos_venta.plot(column = 'color')

Nevertheless, my result is this:
地图在Python中使用geopandas无法正确检测颜色。

I don't understand why the color range is different from the one I provide

答案1

得分: 1

使用ListedColormap创建自定义颜色映射，并将其与'color'列一起绘制：

  1. import geopandas as gpd
  2. import matplotlib.pyplot as plt
  3. from matplotlib.colors import ListedColormap
  5. def color_mapping(row):
  6.     if row['pedidos_venta'] > 10000:
  7.         return 'green'
  8.     elif row['pedidos_venta'] > 2000:
  9.         return 'yellow'
  10.     else:
  11.         return 'red';
  13. mapa_pedidos_venta['color'] = mapa_pedidos_venta.apply(color_mapping, axis=1)
  14. mapa_pedidos_venta.plot(column='color')
  16. # create a custom color map
  17. cmap = ListedColormap(['red', 'yellow', 'green'])
  19. # plot map using 'color' column and custom color map
  20. fig, ax = plt.subplots(figsize=(10, 6))
  21. mapa_pedidos_venta.plot(column='color', cmap=cmap, ax=ax)
  22. plt.show()
英文:

Create a custom color map using the ListedColormap and plot it along with the 'color' column:

  1. import geopandas as gpd
  2. import matplotlib.pyplot as plt
  3. from matplotlib.colors import ListedColormap
  7. def color_mapping(row):
  8.     if row['pedidos_venta'] > 10000:
  9.         return 'green'
  10.     elif row['pedidos_venta'] > 2000:
  11.         return 'yellow'
  12.     else:
  13.         return 'red'
  16. mapa_pedidos_venta['color'] = mapa_pedidos_venta.apply(color_mapping, axis=1)
  17. mapa_pedidos_venta.plot(column = 'color')
  19. # create a custom color map
  20. cmap = ListedColormap(['red', 'yellow', 'green'])
  22. # plot map using 'color' column and custom color map
  23. fig, ax = plt.subplots(figsize=(10, 6))
  24. mapa_pedidos_venta.plot(column='color', cmap=cmap, ax=ax)
  25. plt.show()

huangapple
  • 本文由 发表于 2023年2月27日 03:36:50
  • 转载请务必保留本文链接：https://go.coder-hub.com/75574561.html
  • geopandas
  • pandas
  • python
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