extracting rows from CSV file based on specific keywords

Question

I have created a code to help me retrieving the data from csv file

  import re
keywords = {\"metal\", \"energy\", \"team\", \"sheet\", \"solar\" \"finan         


        

Answer 1

Try this, looping in a dataframe and write back a new dataframe to a csv file.

import pandas as pd

keywords = {"metal", "energy", "team", "sheet", "solar", "financial", 
        "transportation", "electrical", "scientists",
        "electronic", "workers"}  # all your keywords

df = pd.read_csv("2006-data-8-8-2016.csv", sep=",")

listMatchPosition = []
listMatchDescription = []

for i in range(len(df.index)):
    if any(x in df['position'][i] or x in df['Job description'][i] for x in keywords):
        listMatchPosition.append(df['position'][i])
        listMatchDescription.append(df['Job description'][i])


output = pd.DataFrame({'position':listMatchPosition, 'Job description':listMatchDescription})
output.to_csv("new_data.csv", index=False)

EDIT: If you have many columns to add, the modified following code will do the job.

df = pd.read_csv("2006-data-8-8-2016.csv", sep=",")

output = pd.DataFrame(columns=df.columns)

for i in range(len(df.index)):
    if any(x in df['position'][i] or x in df['Job description'][i] for x in keywords):
    output.loc[len(output)] = [df[j][i] for j in df.columns]

output.to_csv("new_data.csv", index=False)