getting dataframe based on condition in dictionary in python

Question

I have a enigmatic task in Python. From API I receive a dictionary as shown below. From this response (dictionary) I have to make df which two columns. First is the SapId and the second is OOSOperation but only with rows where OOSOperation = ‘OutOfStock’. Could anyone please help me with this task? I include picture.

Asked By: Firts_is_science

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Source

Answer 1

You could either prefilter with

list_of_elements.filter(lambda element: element["OOSOperation"] == 'OutOfStock')

or just filter the DF afterwards with

df[df["OOSOperation"] == 'OutOfStock']

Answered By: Lukas Schmid

Answer 2

I am not sure if I understand correctly, but maybe this is close to what you want:

products = data['Products'][:]

out_of_stock_products =[]

for product_dict in products:
  if product_dict['OOSOperation'] == 'OutOfStock':
    out_of_stock_products.append(product_dict)

df = pd.DataFrame(out_of_stock_products)

Alternatively, using list comprehension:

products = data['Products'][:]

out_of_stock_products = [d for d in products if d['OOSOperation'] =='OutOfStock']

df = pd.DataFrame(out_of_stock_products)

Answered By: Isaac Rene

getting dataframe based on condition in dictionary in python

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