I am attempting to recognize dates contained inside strings inside of a pandas dataframe. Inside of the csv file, the dates appear as: `'7\23\2019'`. However, when I printed the actual information to see what was contained inside of the cell, the following appeared: `7, 23, 2019`.

My original code to see if I could retrieve the dates was:

```
df.select_dtypes(include=['object'])
for col in df.columns:
    print(df[col].str.findall(r'\d{1,2}\\\\d{1,2}\\\\d{2,4}')) #to cover all potential basis

```

This of course did not work, as the information was contained using commas and not backslashes. The output I expect was:

```
Name: Date
0 7/23/2019
1 7/24/2019
2 7/25/2019
3 7/26/2019
    ...
Z 12/31/2020

```

However, the information I received was this:

```
Name: Date
0      []
1      []
2      []
3      []
       ..
Z      []

```

I then used `print(df[col].str.findall(r'/d+')` to see if I could see any numbers and I got the following output:

```
 Name:        Date:        
    0      [7, 23, 2019]
    1      [7, 24, 2019]
    2      [7, 25, 2019]
    3      [7, 26, 2019]
                ..
    Z      [12, 31, 2020]

 Name:     Int Col
    0      [12345]
    1      [31234]
    2      [51231]
    3      [61234]
             ..
    Z      [43523]

```

So, I modified my code accordingly to account for this new format:

```
df.select_dtypes(include=['object'])
for col in df.columns:
    print(df[col].str.findall(r'\d{1,2}, d{1,2}, {2,4}')) #to cover all potential basis 

```

This is what I received as output:

```
Name: Date:
0      []
1      []
2      []
       ..
Z      []

```

I was unable to catch any values. What could be causing this lack of recognition?

**Edit: How the initial Date Column Looked Inside the CSV File -**

```
------------------------------------
|This Date | That Date | Other Date|          
|--------- |------------------------
|7/23/2019 | 5/12/2009 | 4/21/2015 |
------------------------------------
|7/24/2019 | 5/13/2009 | 4/22/2015 |
------------------------------------
|7/25/2019 | 5/14/2009 | 4/23/2015 |
------------------------------------
|    .     |     .     |    .      |
------------------------------------
|    .     |     .     |    .      |
------------------------------------
|    .     |     .     |    .      |
------------------------------------
|12/31/2020| 12/31/2012| 12/31/2017|
------------------------------------

```