行,列单元格

import pandas as pd 
d = {'x':100,'y':200,'z':300} 
s1 =pd.Series(d) 
print(s1.values) #dic转化为series
 ----------------------------------------------
 [100 200 300]

　　

import pandas as pd
L1= [100,200,300]
L2= ['x','y','z']

s1= pd.Series(L1,index= L2)
print(s1)

----------------------------------------------

x    100
y    200
z    300
dtype: int64

　　

import pandas as pd
s1 = pd.Series([1,2,3],index = [1,2,3],name = 'A')
s2 = pd.Series([10,20,30],index = [1,2,3],name = 'B')
s3 = pd.Series([100,200,300],index = [1,2,3],name = 'C')

df = pd.DataFrame({s1.name:s1,s2.name:s2,s3.name:s3})

print(df)


------------------------------------------------------------------

   A   B    C
1  1  10  100
2  2  20  200
3  3  30  300

import pandas as pd
s1 = pd.Series([1,2,3],index = [1,2,3],name = 'A')
s2 = pd.Series([10,20,30],index = [1,2,3],name = 'B')
s3 = pd.Series([100,200,300],index = [1,2,3],name = 'C')

df = pd.DataFrame([s1,s2,s3])

print(df)


--------------------------------------------

     1    2    3
A    1    2    3
B   10   20   30
C  100  200  300

import pandas as pd
s1 = pd.Series([1,2,3],index = [1,2,3],name = 'A')
s2 = pd.Series([10,20,30],index = [1,2,3],name = 'B')
s3 = pd.Series([100,200,300],index = [2,3,4],name = 'C')

df = pd.DataFrame({s1.name:s1,s2.name:s2,s3.name:s3})

print(df)

-------------------------------------------
     A     B      C
1  1.0  10.0    NaN
2  2.0  20.0  100.0
3  3.0  30.0  200.0
4  NaN   NaN  300.0