CODEWITHSUNDEEP
python-3.x
p.sh
p.sh

Reputation: 67

Python: get the variable out of loop

I have the following piece of code:

for response_i in response['response']:

  var_1=None
  if response_i['objkey'] == 'explorecube_data':
      var_1=response_i['objcontent'][0]['title']
  if response_i['objkey'] == 'explorecube_data' and response_i['objcontent'][0]['title'] == var_1:
    print(var_1)

  dim_1=None
  if response_i['objkey'] == 'explorecube_dimvalues':
      dim_1=response_i['objcontent'][0]['title']
  if response_i['objkey'] == 'explorecube_dimvalues' and response_i['objcontent'][0]['title'] == dim_1:
      print(dim_1)

  ab=[var_1, dim_1]
  print(ab)

I updated the question. following is the output:

['tos', None]
[None, None]
[None, 'lat']
[None, None]

I would like to have the following output:

['tos', 'lat']

I appreciate any suggestion to solve this issue

Upvotes: 1

Views: 908

Answers (3)

Abhinav Gupta
Abhinav Gupta

Reputation: 1958

You can simply append values to ab, when the values are not None.Then you will need to instantiate and print ab outside of the loop.

ab = []
for response_i in response['response']:
  var_1=None
  if response_i['objkey'] == 'explorecube_data':
      var_1=response_i['objcontent'][0]['title']
  if response_i['objkey'] == 'explorecube_data' and response_i['objcontent'][0]['title'] == var_1:
    print(var_1)
    ab.append(var1)

  dim_1=None
  if response_i['objkey'] == 'explorecube_dimvalues':
      dim_1=response_i['objcontent'][0]['title']
  if response_i['objkey'] == 'explorecube_dimvalues' and response_i['objcontent'][0]['title'] == dim_1:
      print(dim_1)
      ab.append(dim1)

print(ab)

Upvotes: 0

wow yoo
wow yoo

Reputation: 895

Use the generator to produce the result that you want, then print it.

def PrintGen():
    for response_i in response['response']:
        if response_i['objkey'] == 'explorecube_data' or response_i['objkey'] == 'explorecube_dimvalues':
            yield response_i['objcontent'][0]['title']
ab =PrintGen()
listab =list(ab)
print(listab)

Generators are used to yield objects which meet the demand, they are proper for you.

Upvotes: 2

Mr.Riply
Mr.Riply

Reputation: 845

try something like this, should convert the data into a pandas dataframe and drop the None values

import pandas as pd


data = []

data.append([var_1, dim_1])

df = pd.DataFrame(data, columns=['var_1', 'dim_1'])
df = df.dropna(how = 'all')

Upvotes: 0

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