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I have a dataframe with a column containing long numbers. I am trying to convert all the values in the numbers column to comma separated for thousands.
df
col_1 col_2
Rooney 34590927
Ronaldo 5467382
John 25647398
How do I iterate and get the following result?
Expected result:
col_1 col_2
Rooney 34,590,927
Ronaldo 5,467,382
John 25,647,398
376
We use the python string format syntax '{:,. 0f}'. format to add the thousand comma separators to the numbers. Then we use python's map() function to iterate and apply the formatting to all the rows in the 'Median Sales Price' column.
Split column by delimiter into multiple columns Apply the pandas series str. split() function on the “Address” column and pass the delimiter (comma in this case) on which you want to split the column. Also, make sure to pass True to the expand parameter.
You can use string formatting,
df['col_2'] = pd.to_numeric(df['col_2'].fillna(0), errors='coerce')
df['col_2'] = df['col_2'].map('{:,.2f}'.format)
Do remember that the col_2 now will be string not integer.
col_1 col_2
0 Rooney 34,590,927.00
1 Ronaldo 5,467,382.00
2 John 25,647,398.00
apply format function to col_2
df = df.assign(col_2=df.col_2.astype(int).apply('{:,}'.format))
col_1 col_2
0 Rooney 34,590,927
1 Ronaldo 5,467,382
2 John 25,647,398
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