Pandas 面板(Panel)

pandas.Panel(data, items, major_axis, minor_axis, dtype, copy)

#creating an empty panel
import pandas as pd
p = pd.Panel()
print (p)

<class 'pandas.core.panel.Panel'>
Dimensions: 0 (items) x 0 (major_axis) x 0 (minor_axis)
Items axis: None
Major_axis axis: None
Minor_axis axis: None

# creating an empty panel
import pandas as pd
import numpy as np

data = np.random.rand(2, 4, 5)
p = pd.Panel(data)
print (p)

<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 4 (major_axis) x 5 (minor_axis)
Items axis: 0 to 1
Major_axis axis: 0 to 3
Minor_axis axis: 0 to 4

#creating an empty panel
import pandas as pd
import numpy as np

data = {'Item1' : pd.DataFrame(np.random.randn(4, 3)), 
        'Item2' : pd.DataFrame(np.random.randn(4, 2))}
p = pd.Panel(data)
print (p)

<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 4 (major_axis) x 3 (minor_axis)
Items axis: Item1 to Item2
Major_axis axis: 0 to 3
Minor_axis axis: 0 to 2

# creating an empty panel
import pandas as pd
import numpy as np
data = {'Item1' : pd.DataFrame(np.random.randn(4, 3)), 
        'Item2' : pd.DataFrame(np.random.randn(4, 2))}
p = pd.Panel(data)
print (p['Item1'])

          0         1         2
0 -0.986684 -0.220708 -0.485787
1 -0.164544  0.412970  1.088492
2 -0.344780  0.977971  2.520853
3  0.009898  0.573343  0.232600

# creating an empty panel
import pandas as pd
import numpy as np
data = {'Item1' : pd.DataFrame(np.random.randn(4, 3)), 
        'Item2' : pd.DataFrame(np.random.randn(4, 2))}
p = pd.Panel(data)
print (p.major_xs(1))

      Item1     Item2
0  1.152541  0.581985
1  1.139998 -0.253684
2  0.637131       NaN

# creating an empty panel
import pandas as pd
import numpy as np
data = {'Item1' : pd.DataFrame(np.random.randn(4, 3)), 
        'Item2' : pd.DataFrame(np.random.randn(4, 2))}
p = pd.Panel(data)
print (p.minor_xs(1))

      Item1     Item2
0 -0.854895  0.904276
1 -0.492248 -0.386763
2  0.487797 -1.398289
3  1.224335 -0.300087