如何用熊猫数据框填充作品映射

发布于 2025-01-17 16:23:37 字数 2903 浏览 2 评论 0原文

我有一个看起来像这样的录音层地图:

”“在此处输入图像描述”

如您所见,有一个网格覆盖,大小为14x20网格正方形。

我也有一个称为DF的数据框,它也是14x20:

         0         1         2   ...        17        18        19
0        NaN       NaN       NaN  ...       NaN       NaN       NaN
1        NaN       NaN       NaN  ...       NaN       NaN       NaN
2   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
3   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
4   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
5   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
6   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
7   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
8   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
9   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
10  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323
11  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323
12  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323
13  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323

[14 rows x 20 columns]

我正在尝试将数据框架值填充到网格单元中以绘制作品映射。这是我尝试的:

precip_full1 = xr.open_dataset('era_yr1979.nc')

lon = precip_full1.variables['longitude'][:]
lat = precip_full1.variables['latitude'][:]

lon2d, lat2d = np.meshgrid(lon, lat)


plt.figure(figsize=(6,5))
ax = plt.axes(projection=ccrs.PlateCarree())
ax.set_extent([-15,-10,6.5,10])
ax.coastlines()
ax.add_feature(cfeature.LAND)
ax.add_feature(cfeature.LAKES)
ax.add_feature(cfeature.RIVERS)


ax.add_feature(cfeature.BORDERS)
plt.title('Average Rainfall over Sierra Leone')

gl = ax.gridlines(draw_labels=True, xlocs=np.arange(-180,180,0.25), ylocs=np.arange(-90,90,0.25),linewidth=0.4)
gl.top_labels   = False
gl.right_labels = False

plot = plt.contourf(lon2d, lat2d, df, cmap = 'YlOrRd', transform=ccrs.PlateCarree())

我得到的:

ValueError: setting an array element with a sequence.

有人知道如何完成这项工作吗?

编辑:

打印LON和LAT给出:

print(lon)

<xarray.IndexVariable 'longitude' (longitude: 21)>
array([-15.  , -14.75, -14.5 , -14.25, -14.  , -13.75, -13.5 , -13.25, -13.  ,
       -12.75, -12.5 , -12.25, -12.  , -11.75, -11.5 , -11.25, -11.  , -10.75,
       -10.5 , -10.25, -10.  ], dtype=float32)
Attributes:
    units:      degrees_east
    long_name:  longitude


print(lat)

<xarray.IndexVariable 'latitude' (latitude: 15)>
array([10.  ,  9.75,  9.5 ,  9.25,  9.  ,  8.75,  8.5 ,  8.25,  8.  ,  7.75,
        7.5 ,  7.25,  7.  ,  6.75,  6.5 ], dtype=float32)
Attributes:
    units:      degrees_north
    long_name:  latitude

I have a Cartopy Map which looks like this:

enter image description here

As you can see, there is a grid overlaid which is 14x20 grid squares in size.

I also have a data frame, called df, which is also 14x20:

         0         1         2   ...        17        18        19
0        NaN       NaN       NaN  ...       NaN       NaN       NaN
1        NaN       NaN       NaN  ...       NaN       NaN       NaN
2   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
3   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
4   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
5   0.022079  0.017996  0.017996  ...  0.011409  0.011409  0.011409
6   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
7   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
8   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
9   0.021927  0.020711  0.020711  ...  0.016651  0.016651  0.016651
10  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323
11  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323
12  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323
13  0.019435  0.021574  0.021574  ...  0.013323  0.013323  0.013323

[14 rows x 20 columns]

I'm trying to fill the dataframe values into the grid cells to plot a Cartopy map. Here's what I've tried:

precip_full1 = xr.open_dataset('era_yr1979.nc')

lon = precip_full1.variables['longitude'][:]
lat = precip_full1.variables['latitude'][:]

lon2d, lat2d = np.meshgrid(lon, lat)


plt.figure(figsize=(6,5))
ax = plt.axes(projection=ccrs.PlateCarree())
ax.set_extent([-15,-10,6.5,10])
ax.coastlines()
ax.add_feature(cfeature.LAND)
ax.add_feature(cfeature.LAKES)
ax.add_feature(cfeature.RIVERS)


ax.add_feature(cfeature.BORDERS)
plt.title('Average Rainfall over Sierra Leone')

gl = ax.gridlines(draw_labels=True, xlocs=np.arange(-180,180,0.25), ylocs=np.arange(-90,90,0.25),linewidth=0.4)
gl.top_labels   = False
gl.right_labels = False

plot = plt.contourf(lon2d, lat2d, df, cmap = 'YlOrRd', transform=ccrs.PlateCarree())

to which I get:

ValueError: setting an array element with a sequence.

Does anyone know how I could make this work?

EDIT:

Printing Lon and Lat gives:

print(lon)

<xarray.IndexVariable 'longitude' (longitude: 21)>
array([-15.  , -14.75, -14.5 , -14.25, -14.  , -13.75, -13.5 , -13.25, -13.  ,
       -12.75, -12.5 , -12.25, -12.  , -11.75, -11.5 , -11.25, -11.  , -10.75,
       -10.5 , -10.25, -10.  ], dtype=float32)
Attributes:
    units:      degrees_east
    long_name:  longitude


print(lat)

<xarray.IndexVariable 'latitude' (latitude: 15)>
array([10.  ,  9.75,  9.5 ,  9.25,  9.  ,  8.75,  8.5 ,  8.25,  8.  ,  7.75,
        7.5 ,  7.25,  7.  ,  6.75,  6.5 ], dtype=float32)
Attributes:
    units:      degrees_north
    long_name:  latitude

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