I have list of dictionary like below dictList = [{‘key’: ‘ABORT_DETACHED_QUERY’, ‘value’: ‘false’}, {‘key’: ‘ALLOW_CLIENT_MFA_CACHING’, ‘value’: ‘false’}, {‘key’: ‘ALLOW_ID_TOKEN’, ‘value’: ‘false’}] …
I have list of dictionary like below dictList = [{‘key’: ‘ABORT_DETACHED_QUERY’, ‘value’: ‘false’}, {‘key’: ‘ALLOW_CLIENT_MFA_CACHING’, ‘value’: ‘false’}, {‘key’: ‘ALLOW_ID_TOKEN’, ‘value’: ‘false’}] …
code: def even_odd_split(Dic1): even = [] odd = [] for sublist in Dic1.values(): for x in sublist: if x % 2 == 0: even.append(x) else: …
Heres the original dict uid_coins = {‘141632864’: {‘username’: ‘Guest130679138’, ‘coins’: 0}, ‘141632884’: {‘username’: ‘Guest130679156’, ‘coins’: 39123441}, ‘141632886’: {‘username’:…
I have a text file with this data 1, Jane Doe, 1991 2, Sam Smith, 1982 3, John Sung, 1965 4, Tony Tembo, 1977 I have something like this but it only works if you have the ID and name alone names = {} …
I’m trying to create a dictionary from a text file that contains test results. The text file looks like this: NETAPP-MIB::enclTempSensorsCurrentTemp.1 = STRING: 29C (84F) ambient, 36C (96F), 36C (96F),…
Output shows that the numbers 13 is misplaced and 19 is completely missing, I apologize in advance for the inadequateness of the post, my first question here. fav_num = { ‘john’: [18, 23, 30], …
I have a complex nested dictionary with multiple levels. I wish to create a multilevel index pandas dataframe from the dict. The dict takes the format: { “bucket_0” : [ { …
Here’s a sample of the data: [{ ‘name’: ‘Age’, ‘p_value’: ‘<0.001', 'ks_score': '0.07', }, { 'name': 'peer_LM_Mean_SelfAware', 'p_value': '<0.001', 'ks_score': '0.06', }] I ...
I have a dictioanry that has a key with more than one value: {‘bob’: {“flying pigs”}, ‘sam’:{“open house”, “monster dog”}, ‘sally’:{“glad smile”}} I would like …
I have to analyse a PPG signal. I found something to find the peaks but I can’t use the values of the heights. They are stored in like a dictionary array or something and I don’t know how to extract …