Trying to trim space in a csv file. Getting this exception: ValueError: could not convert string to float: '-\xa01.38'

ipo.py

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from patsy import dmatrix
from sklearn.ensemble import RandomForestClassifier
from sklearn import linear_model
%matplotlib inline

ipos = pd.read_csv('./scoop.csv')
ipos

ipos = ipos.applymap(lambda x: x if not '$' in str(x) else x.replace('$', ''))
ipos = ipos.applymap(lambda x: x if not '%' in str(x) else x.replace('%', ''))
ipos = ipos.applymap(lambda x: x if not 'US' in str(x) else x.replace('US', ''))
ipos = ipos.applymap(lambda x: x if not '- ' in str(x) else x.replace(' ', ''))
ipos

ipos.info()

ipos[ipos['Date']=='11/120']

ipos.loc[1313, 'Date'] = '11/20/2012'

ipos.replace('N/C', 0, inplace=True)
ipos['Date'] = pd.to_datetime(ipos['Date'])
ipos['Offer Price'] = ipos['Offer Price'].astype('float')
ipos['Opening Price'] = ipos['Opening Price'].astype('float')
ipos['1st Day Close'] = ipos['1st Day Close'].astype('float')
ipos['1st Day% Px Chng'] = ipos['1st Day% Px Chng'].astype('float')
#ipos['$ Change Opening'] = ipos['$ Change Opening'].astype('float') Getting exceptions here
#ipos['$ Change Close'] = ipos['$ Change Close'].astype('float')
ipos['Star Ratings'] = ipos['Star Ratings'].astype('int')
ipos.info()