﻿ Pandas Data Series: Replace missing white spaces in a given string with the least frequent character - w3resource

# Pandas Data Series: Replace missing white spaces in a given string with the least frequent character

## Pandas: Data Series Exercise-33 with Solution

Write a Pandas program to replace missing white spaces in a given string with the least frequent character.

Sample Solution :

Python Code :

``````import pandas as pd
str1 = 'abc def abcdef icd'
print("Original series:")
print(str1)
ser = pd.Series(list(str1))
element_freq = ser.value_counts()
print(element_freq)
current_freq = element_freq.dropna().index[-1]
result = "".join(ser.replace(' ', current_freq))
print(result)
``````

Sample Output:

```Original series:
abc def abcdef icd
c    3
3
d    3
f    2
e    2
a    2
b    2
i    1
dtype: int64
abcidefiabcdefiicd
```

Python Code Editor:

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## Python: Tips of the Day

Returns a list with n elements removed from the beginning

Example:

```def tips_take(itr, n = 1):
return itr[:n]
print(tips_take([1, 2, 3], 5))
print(tips_take([1, 2, 3], 0))
```

Output:

```[1, 2, 3]
[]
```