How format different values in pandas?

i have a columns of dataframe with 1000+ different format of values. how can i format these in order to have unified view like this 1.000.000.

 Sales 
1.000.000
10000000
150,250
0,200655

for example:

• row 1 is desiderated view
• row 2 10000000 should be 10.000.000
• row 3 150,250 should be 150.250
• row 4 0,200655 should be 200.655

Answer

For your input this should work:

df['Sales'] = ["{:,}".format(int(num.replace('.', '').replace(',', ''))).replace(',', '.') for num in df['Sales']]

Here we:

1. get each element in Sales column and remove ‘,’ and ‘.’ ie ‘150,250’ -> ‘150250’
2. Then covert the string into int ie ‘150250’ -> 150250
3. then use "{:,}".format() to format int to string with commas ie 150250 -> ‘150,250’
4. In this converted string we replace commas ‘,’ with period ‘.’ ie ‘150,250’ -> ‘150.250’
5. make an array with the results and assign it to Sales column of Dataframe

Input:

       Sales
0  1.000.000
1   10000000
2    150,250
3   0,200655

Output:

        Sales
0   1.000.000
1  10.000.000
2     150.250
3     200.655