﻿ Pandas: Convert all the string values to upper, lower cases in a given pandas series and also find the length of the string values - w3resource

# Pandas: Convert all the string values to upper, lower cases in a given pandas series and also find the length of the string values

## Pandas: String and Regular Expression Exercise-1 with Solution

Write a Pandas program to convert all the string values to upper, lower cases in a given pandas series. Also find the length of the string values.

Sample Solution:

Python Code :

``````import pandas as pd
import numpy as np
s = pd.Series(['X', 'Y', 'Z', 'Aaba', 'Baca', np.nan, 'CABA', None, 'bird', 'horse', 'dog'])
print("Original series:")
print(s)
print("\nConvert all string values of the said Series to upper case:")
print(s.str.upper())
print("\nConvert all string values of the said Series to lower case:")
print(s.str.lower())
print("\nLength of the string values of the said Series:")
print(s.str.len())
``````

Sample Output:

```Original series:
0         X
1         Y
2         Z
3      Aaba
4      Baca
5       NaN
6      CABA
7      None
8      bird
9     horse
10      dog
dtype: object

Convert all string values of the said Series to upper case:
0         X
1         Y
2         Z
3      AABA
4      BACA
5       NaN
6      CABA
7      None
8      BIRD
9     HORSE
10      DOG
dtype: object

Convert all string values of the said Series to lower case:
0         x
1         y
2         z
3      aaba
4      baca
5       NaN
6      caba
7      None
8      bird
9     horse
10      dog
dtype: object

Length of the string values of the said Series:
0     1.0
1     1.0
2     1.0
3     4.0
4     4.0
5     NaN
6     4.0
7     NaN
8     4.0
9     5.0
10    3.0
dtype: float64
```

Python Code Editor:

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## Python: Tips of the Day

Python: Cache results with decorators

There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.

Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.

```from functools import lru_cache

@lru_cache(maxsize=None)
def fibo(a):
if a <= 1:
return a
else:
return fibo(a-1) + fibo(a-2)

for i in range(20):
print(fibo(i), end="|")

print("\n\n", fibo.cache_info())
```

Output:

```0|1|1|2|3|5|8|13|21|34|55|89|144|233|377|610|987|1597|2584|4181|

CacheInfo(hits=36, misses=20, maxsize=None, currsize=20)```