Question
PYTHON: I have a numpy array that holds a name and a phone number suchas this one. import numpy as np import pandas as pd
PYTHON:
I have a numpy array that holds a name and a phone number suchas this one.
import numpy as np import pandas as pd
LIST = np.array([("James", "Kirk", "512-375-5585"), ("Richard","Branson, "1234567890"), ("James", "Bond", "34567")])
Then I stuff it into a data frame by doing this
df = pd.DataFrame(List, columns=('Firstname', 'Lastname','Phone'))
How would I go about changing 10 digit phone numbers such as1234567890 into 123-456-7890 and discarding invalid ones such as34567 so it reflects in the data frame using a regularexpression?
I have tried df.replace but I am getting errors
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started