In [1]:

    

import pandas as pd


    

In [2]:

    

df = pd.DataFrame({'X': [0, 1, 2], 'Y': [3, 4, 5]}, index=['A', 'B', 'C'])
print(df)


    

    




   X  Y
A  0  3
B  1  4
C  2  5

In [3]:

    

print(df.T)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [4]:

    

print(df.transpose())


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [5]:

    

df = df.T
print(df)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [6]:

    

df = pd.DataFrame({'X': [0, 1, 2], 'Y': [3, 4, 5]}, index=['A', 'B', 'C'])
print(df)


    

    




   X  Y
A  0  3
B  1  4
C  2  5

In [7]:

    

print(df.dtypes)


    

    




X    int64
Y    int64
dtype: object

In [8]:

    

print(df.T)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [9]:

    

print(df.T.dtypes)


    

    




A    int64
B    int64
C    int64
dtype: object

In [10]:

    

df_mix = pd.DataFrame({'col_int': [0, 1, 2], 'col_float': [0.1, 0.2, 0.3]}, index=['A', 'B', 'C'])
print(df_mix)


    

    




   col_int  col_float
A        0        0.1
B        1        0.2
C        2        0.3

In [11]:

    

print(df_mix.dtypes)


    

    




col_int        int64
col_float    float64
dtype: object

In [12]:

    

print(df_mix.T)


    

    




             A    B    C
col_int    0.0  1.0  2.0
col_float  0.1  0.2  0.3

In [13]:

    

print(df_mix.T.dtypes)


    

    




A    float64
B    float64
C    float64
dtype: object

In [14]:

    

print(df_mix.T.T)


    

    




   col_int  col_float
A      0.0        0.1
B      1.0        0.2
C      2.0        0.3

In [15]:

    

print(df_mix.T.T.dtypes)


    

    




col_int      float64
col_float    float64
dtype: object

In [16]:

    

df_mix2 = pd.DataFrame({'col_int': [0, 1, 2], 'col_float': [0.1, 0.2, 0.3], 'col_str': ['a', 'b', 'c']},
                       index=['A', 'B', 'C'])
print(df_mix2)


    

    




   col_int  col_float col_str
A        0        0.1       a
B        1        0.2       b
C        2        0.3       c

In [17]:

    

print(df_mix2.dtypes)


    

    




col_int        int64
col_float    float64
col_str       object
dtype: object

In [18]:

    

print(df_mix2.T)


    

    




             A    B    C
col_int      0    1    2
col_float  0.1  0.2  0.3
col_str      a    b    c

In [19]:

    

print(df_mix2.T.dtypes)


    

    




A    object
B    object
C    object
dtype: object

In [20]:

    

print(df_mix2.T.T)


    

    




  col_int col_float col_str
A       0       0.1       a
B       1       0.2       b
C       2       0.3       c

In [21]:

    

print(df_mix2.T.T.dtypes)


    

    




col_int      object
col_float    object
col_str      object
dtype: object

In [22]:

    

df = pd.DataFrame({'X': [0, 1, 2], 'Y': [3, 4, 5]}, index=['A', 'B', 'C'])
print(df)


    

    




   X  Y
A  0  3
B  1  4
C  2  5

In [23]:

    

df_T = df.T
print(df_T)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [24]:

    

df_transpose = df.transpose()
print(df_transpose)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [25]:

    

df.at['A', 'X'] = 100
print(df)


    

    




     X  Y
A  100  3
B    1  4
C    2  5

In [26]:

    

print(df_T)


    

    




     A  B  C
X  100  1  2
Y    3  4  5

In [27]:

    

print(df_transpose)


    

    




     A  B  C
X  100  1  2
Y    3  4  5

In [28]:

    

df_mix = pd.DataFrame({'col_int': [0, 1, 2], 'col_float': [0.1, 0.2, 0.3]}, index=['A', 'B', 'C'])
print(df_mix)


    

    




   col_int  col_float
A        0        0.1
B        1        0.2
C        2        0.3

In [29]:

    

df_mix_T = df_mix.T
print(df_mix_T)


    

    




             A    B    C
col_int    0.0  1.0  2.0
col_float  0.1  0.2  0.3

In [30]:

    

df_mix_transpose = df_mix.transpose()
print(df_mix_transpose)


    

    




             A    B    C
col_int    0.0  1.0  2.0
col_float  0.1  0.2  0.3

In [31]:

    

df_mix.at['A', 'col_int'] = 100
print(df_mix)


    

    




   col_int  col_float
A      100        0.1
B        1        0.2
C        2        0.3

In [32]:

    

print(df_mix_T)


    

    




             A    B    C
col_int    0.0  1.0  2.0
col_float  0.1  0.2  0.3

In [33]:

    

print(df_mix_transpose)


    

    




             A    B    C
col_int    0.0  1.0  2.0
col_float  0.1  0.2  0.3

In [34]:

    

df = pd.DataFrame({'X': [0, 1, 2], 'Y': [3, 4, 5]}, index=['A', 'B', 'C'])
print(df)


    

    




   X  Y
A  0  3
B  1  4
C  2  5

In [35]:

    

df_T_copy = df.T.copy()
print(df_T_copy)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [36]:

    

df_transpose_copy = df.transpose(copy=True)
print(df_transpose_copy)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [37]:

    

df.at['A', 'X'] = 100
print(df)


    

    




     X  Y
A  100  3
B    1  4
C    2  5

In [38]:

    

print(df_T_copy)


    

    




   A  B  C
X  0  1  2
Y  3  4  5

In [39]:

    

print(df_transpose_copy)


    

    




   A  B  C
X  0  1  2
Y  3  4  5