替换熊猫数据框中的多个字符

Question

trying to remove one character

I scraped this data from the web and want to remove all the non-integer characters in the second column so that I can do maths on it.

Is there another way to remove all brackets and comma in one line

Answer 1

You may strip off parentheses and commas using str.replace with the character class [(),] . Then, use to_numeric() later when you want to work with this text column as numeric data:

df['pop'] = df['pop'].str.replace('[(),]+', '', regex=True)

Answer 2

i suggest you this also: it creates a new column for each element:

df['pop1'] = pd.to_numeric(df['pop'].str.split(r'\D').str.get(1))
df['pop2'] = pd.to_numeric(df['pop'].str.split(r'\D').str.get(2))
df['pop3'] = pd.to_numeric(df['pop'].str.split(r'\D').str.get(3))

it suggests that you always have the same nbr of element in "pop". With the same technique you can also create a list of integer in pop column. Depends of how you wanna work on it. Like this for example:

pop4 = []
for i in df['pop']:
    newstr = ''.join((ch if ch in '0123456789.-e'else ' ') for ch in i)
    listOfNumbers = [float(x) for x in newstr.split()]    
    pop4.append(listOfNumbers)

df['pop4']=pop4

OFC you can int or float...