``````

In [1]:

import pandas as pd
import numpy as np

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In [2]:

print(df)

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a   b   c   d
0  11  12  13  14
1  21  22  23  24
2  31  32  33  34

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In [3]:

print(np.sqrt(df))

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a         b         c         d
0  3.316625  3.464102  3.605551  3.741657
1  4.582576  4.690416  4.795832  4.898979
2  5.567764  5.656854  5.744563  5.830952

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``````

In [4]:

print(np.amax(df))

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a    31
b    32
c    33
d    34
dtype: int64

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In [5]:

print(np.mean(df, axis=1))

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0    12.5
1    22.5
2    32.5
dtype: float64

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In [6]:

print(df.max())

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a    31
b    32
c    33
d    34
dtype: int64

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In [7]:

print(df.max(axis=1))

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0    14
1    24
2    34
dtype: int64

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In [8]:

s = df['a']
print(s)

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0    11
1    21
2    31
Name: a, dtype: int64

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In [9]:

f_brackets = lambda x: '[{}]'.format(x)
print(s.map(f_brackets))

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``````

0    [11]
1    [21]
2    [31]
Name: a, dtype: object

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In [10]:

def f_str(x):
return str(x).replace('1', 'One').replace('2', 'Two').replace('3', 'Three').replace('4', 'Four')

print(s.map(f_str))

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``````

0      OneOne
1      TwoOne
2    ThreeOne
Name: a, dtype: object

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In [11]:

f_oddeven = lambda x: 'odd' if x % 2 == 1 else 'even'
print(df.applymap(f_oddeven))

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a     b    c     d
0  odd  even  odd  even
1  odd  even  odd  even
2  odd  even  odd  even

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In [12]:

f_maxmin = lambda x: max(x) - min(x)
print(df.apply(f_maxmin))

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``````

a    20
b    20
c    20
d    20
dtype: int64

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In [13]:

print(df.apply(f_maxmin, axis=1))

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0    3
1    3
2    3
dtype: int64

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In [14]:

df['b'] = df['b'].map(f_str)
print(df)

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a         b   c   d
0  11    OneTwo  13  14
1  21    TwoTwo  23  24
2  31  ThreeTwo  33  34

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In [15]:

df.iloc[2] = df.iloc[2].map(f_str)
print(df)

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``````

a         b           c          d
0        11    OneTwo          13         14
1        21    TwoTwo          23         24
2  ThreeOne  ThreeTwo  ThreeThree  ThreeFour

``````