﻿ Pandas: Convert a specified character column in upper/lower cases in a given DataFrame - w3resource

# Pandas: Convert a specified character column in upper/lower cases in a given DataFrame

## Pandas: String and Regular Expression Exercise-19 with Solution

Write a Pandas program to convert a specified character column in upper/lower cases in a given DataFrame.

Sample Solution:

Python Code :

``````import pandas as pd
df = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'zefsalf', 'sdfslew', 'zekfsdf'],
'date_of_sale': ['12/05/2002','16/02/1999','25/09/1998','12/02/2022','15/09/1997'],
'sale_amount': [12348.5, 233331.2, 22.5, 2566552.0, 23.0]
})

df1 = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'zefsalf', 'sdfslew', 'zekfsdf'],
'date_of_sale': ['12/05/2002','16/02/1999','25/09/1998','12/02/2022','15/09/1997'],
'sale_amount': [12348.5, 233331.2, 22.5, 2566552.0, 23.0]
})
print("Original DataFrame:")
print(df)
print("\nUpper cases in comapny_code:")
df['upper_company_code'] = list(map(lambda x: x.upper(), df['company_code']))
print(df)
print("\nLower cases in comapny_code:")
df1['lower_company_code'] = list(map(lambda x: x.lower(), df1['company_code']))
print(df1)
``````

Sample Output:

```Original DataFrame:
company_code date_of_sale  sale_amount
0         Abcd   12/05/2002      12348.5
1         EFGF   16/02/1999     233331.2
2      zefsalf   25/09/1998         22.5
3      sdfslew   12/02/2022    2566552.0
4      zekfsdf   15/09/1997         23.0

Upper cases in comapny_code:
company_code date_of_sale  sale_amount upper_company_code
0         Abcd   12/05/2002      12348.5               ABCD
1         EFGF   16/02/1999     233331.2               EFGF
2      zefsalf   25/09/1998         22.5            ZEFSALF
3      sdfslew   12/02/2022    2566552.0            SDFSLEW
4      zekfsdf   15/09/1997         23.0            ZEKFSDF

Lower cases in comapny_code:
company_code date_of_sale  sale_amount lower_company_code
0         Abcd   12/05/2002      12348.5               abcd
1         EFGF   16/02/1999     233331.2               efgf
2      zefsalf   25/09/1998         22.5            zefsalf
3      sdfslew   12/02/2022    2566552.0            sdfslew
4      zekfsdf   15/09/1997         23.0            zekfsdf
```

Python Code Editor:

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