Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

How to convert numbers represented as characters for short into numeric in Python

I have a column in my data frame which has values like '3.456B' which actually stands for 3.456 Billion (and similar notation for Million). How to convert this string form to correct numeric representation?

This shows the data frame:

import pandas as pd
data_csv = pd.read_csv('https://biz.yahoo.com/p/csv/422conameu.csv')
data_csv

This is a sample value:

data_csv['Market Cap'][0]
type(data_csv['Market Cap'][0])

I tried this:

data_csv.loc[data_csv['Market Cap'].str.contains('B'), 'Market Cap'] = data_csv['Market Cap'].str.replace('B', '').astype(float).fillna(0.0)
data_csv

But unfortunately there are also values with 'M' at the end which denotes Millions. It returns error as follows:

ValueError: invalid literal for float(): 6.46M

How can I replace both B and M with appropriate values in this column? Is there a better way to do it?

like image 864
prashanth manohar Avatar asked Mar 30 '17 14:03

prashanth manohar


2 Answers

I'd use a dictionary to replace the strings then evaluate as float.

mapping = dict(K='E3', M='E6', B='E9')

df['Market Cap'] = pd.to_numeric(df['Market Cap'].replace(mapping, regex=True))
like image 116
piRSquared Avatar answered Nov 15 '22 21:11

piRSquared


Assuming all entries have a letter at the end, you can do this:

d = {'K': 1000, 'M': 1000000, 'B': 1000000000}
df.loc[:, 'Market Cap'] = pd.to_numeric(df['Market Cap'].str[:-1]) * \
    df['Market Cap'].str[-1].replace(d)

This converts everything but the last character into a numeric value, then multiplies it by the number equivalent to the letter in the last character.

like image 38
ASGM Avatar answered Nov 15 '22 22:11

ASGM