CODEWITHSUNDEEP
pythonpandas
Programmer120
Programmer120

Reputation: 2592

Conversion between Json and DataFrame using Python

I have the following code:

responsedata = requests.get(url, data=data, headers=hed, verify=False)
sample_object = pd.DataFrame(responsedata.json())['results'].to_dict()
func(sample_object)

Now, I have another get call using function which does some manipulation over the data:

responsedata2 = get_data(url2)

I do know that:

responsedata2 is equivalent to responsedata.json()['results']

as if I do:

print responsedata2  
print responsedata.json()['results']

I will get the same output (If called with the same URL).

My question is how can I create sample_object2 that will be equivalent to sample_object1 so I will be able to do: func(sample_object2)

Any idea how to make it works? It seems simply but the involvement of the DataFrame makes it hard.

Edit:

To explain better what I'm after. I want to write a function that gets object like responsedata2 and return object like sample_object.

Upvotes: 0

Views: 52

Answers (1)

Alexander Lupas
Alexander Lupas

Reputation: 61

From what I can tell pd.DataFrame(responsedata.json())['results'].to_dict()

gives you {0: (first data set), 1: (second data set)},

while responsedata.json()['results']

gives you a list of [(first data set), (second data set)].

In order to turn the list into a dictionary like the first, use

sample_object = {i: data for i, data in enumerate(responsedata2)}

enumerate is a generator that takes an iterable such as ['a', 'b', 'c', ...] and returns tuples (0, 'a'), (1, 'b'), etc.

Upvotes: 1

Related Questions