﻿ Pandas: Check if a specified column starts with a specified string in a DataFrame - w3resource

# Pandas: Check if a specified column starts with a specified string in a DataFrame

## Pandas: String and Regular Expression Exercise-17 with Solution

Write a Pandas program to check if a specified column starts with a specified string in a 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]
})
print("Original DataFrame:")
print(df)
print("\nIf a specified column starts with a specified string?")
df['company_code_starts_with'] = list(
map(lambda x: x.startswith('ze'), df['company_code']))
print(df)
``````

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

If a specified column starts with a specified string?
company_code           ...            company_code_starts_with
0         Abcd           ...                               False
1         EFGF           ...                               False
2      zefsalf           ...                                True
3      sdfslew           ...                               False
4      zekfsdf           ...                                True

[5 rows x 4 columns]
```

Python Code Editor:

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## Python: Tips of the Day

Python: Time library

Time library provides lots of time related functions and methods and is good to know whether you're developing a website or apps and games or working with data science or trading financial markets. Time is essential in most development pursuits and Python's standard time library comes very handy for that.

Let's check out a few simple examples:

moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())

```import time
time_now=time.strftime("%H:%M:%S",time.localtime())
print(time_now)
date_now=time.strftime("%Y-%b-%d",time.localtime())
print(date_now)
```

Output:

```11:36:34
2020-Nov-30```