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Python Data Science Basics Cleaning Data Filtering by Numeric Value

Data Science solid_ties

Any help on why the code isn't working - I get the "bummer try again"

filterByFloat.py
from loadData import *

data_from_csv = open_with_csv('data.csv')

solid_ties = filter_col_by_string(data_from_csv, "print", "_solid")

def filter_col_by_float(data_sample, field, direction, filter_condition):
  filtered_rows = []

  solid35 = filter_col_by_float(solid_ties, "priceLabel", "<", "35")

  col = int(solid_ties[0].index(priceLabel))
  cond = float(35)

  for row in solid_ties[1:]:
    element = float(row[col])

    if direction == "<":
      if element < cond:
        filtered_rows.append(row)
    elif direction == "<=":
      if element <= cond:
        filtered_rows.append(row)
    elif direction == ">":
      if element > cond:
        filtered_rows.append(row)
    elif direction == ">=":
      if element >= cond:
        filtered_rows.append(row)
    elif direction == "==":
      if element == cond:
        filtered_rows.append(row)  
    else:
      pass
  return filtered_rows

1 Answer

Stuart Wright
Stuart Wright
41,103 Points

This challenge doesn't want you to actually do anything to the body of the function. Just leave the function as is, and call it with appropriate parameters at the end of the script:

solid35 = filter_col_by_float(data_from_csv, "priceLabel", "<", 35)

Most of the challenges in this course follow this same style. I have to say that this was my least favourite of the courses I've done on Treehouse. Large chunks of the videos consisted of the teacher typing code without explanation, and the challenges were mostly just exercises in calling already defined functions with appropriate parameters. I've liked everything else I've done on Treehouse, but if you're interested in exploring data science further, DataCamp seems like a better option based on the handful of courses I've done there.