How to remove a character from a string and convert the rest into integer or decimal, for all values in a column in pandas?

Question

example: I want to convert all values under the column item price at once so that they do not have the '$' sign.

order_id        item_price
0                $2.39
1                $3.39
2                $3.39
3                $2.39
4               $16.98 

Answer 1

You can see the pandas documentation.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.replace.html https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_numeric.html#pandas.to_numeric

https://datatofish.com/string-to-integer-dataframe/

I did this example in my head without test: pd.to_numeric(your_df.price.str.replace("$", ""))

Answer 2

try this

for i in range(0,len(df)):
    df['columnname'][i] = df['columnname'][i].replace('$',' ')
df

or faster way maybe

df.columnname = [x.replace('$',' ') for x in df.columnname]