如何获取 xr.Dataset 坐标作为字符串?
How to get the xr.Dataset coordinates as string?
我创建了一个 xarray.Dataset。在Dataset中,我想获取某个corrdinate的列表。
示例代码如下所示。代码中,数据集'ds'包含'MachineType'中的4个,即'MC_A'、'MC_B'、'MC_C'、'MC_D'。
我想将它们作为字符串获取,以便最后一个 for 循环执行 'MC_A'、'MC_B'、'MC_C'、'MC_D'.
import xarray as xr
import numpy as np
import pandas as pd
x = np.linspace(0,1500,16)
y1 = np.random.random((1,1,1,1,1,1,6,len(x)))
y2 = np.random.random((1,1,1,1,1,1,6,len(x)))
y3 = np.random.random((1,1,1,1,1,1,6,len(x)))
y4 = np.random.random((1,1,1,1,1,1,6,len(x)))
da1 = xr.DataArray(y1, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_A'],'MachineType':['Car'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
da2 = xr.DataArray(y2, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_B'],'MachineType':['Car'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
da3 = xr.DataArray(y3, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_C'],'MachineType':['Train'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
da4 = xr.DataArray(y4, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_D'],'MachineType':['Train'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
#%%
df = pd.concat([da1.to_dataframe(), da2.to_dataframe(), da3.to_dataframe(), da4.to_dataframe()])
ds=xr.Dataset.from_dataframe(df)
ds
#%% This part is not working as I want
for machineid in ds['MachineID']:
print(machineid)
只需在打印命令中添加.values
并将类型更改为str
:
for machineid in ds['MachineID']:
print(str(machineid.values))
我创建了一个 xarray.Dataset。在Dataset中,我想获取某个corrdinate的列表。
示例代码如下所示。代码中,数据集'ds'包含'MachineType'中的4个,即'MC_A'、'MC_B'、'MC_C'、'MC_D'。 我想将它们作为字符串获取,以便最后一个 for 循环执行 'MC_A'、'MC_B'、'MC_C'、'MC_D'.
import xarray as xr
import numpy as np
import pandas as pd
x = np.linspace(0,1500,16)
y1 = np.random.random((1,1,1,1,1,1,6,len(x)))
y2 = np.random.random((1,1,1,1,1,1,6,len(x)))
y3 = np.random.random((1,1,1,1,1,1,6,len(x)))
y4 = np.random.random((1,1,1,1,1,1,6,len(x)))
da1 = xr.DataArray(y1, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_A'],'MachineType':['Car'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
da2 = xr.DataArray(y2, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_B'],'MachineType':['Car'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
da3 = xr.DataArray(y3, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_C'],'MachineType':['Train'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
da4 = xr.DataArray(y4, dims=('MachineID','MachineType','Year','Month','Compensation','Axis','SensorID','Pos'),
coords={'MachineID':['MC_D'],'MachineType':['Train'],'Year':['2020'],'Month':['Aug'],'Compensation':[1],
'Axis':['X'],'SensorID':range(6),'Pos':x},
name='val')
#%%
df = pd.concat([da1.to_dataframe(), da2.to_dataframe(), da3.to_dataframe(), da4.to_dataframe()])
ds=xr.Dataset.from_dataframe(df)
ds
#%% This part is not working as I want
for machineid in ds['MachineID']:
print(machineid)
只需在打印命令中添加.values
并将类型更改为str
:
for machineid in ds['MachineID']:
print(str(machineid.values))