Drop Keys From Dictionary

[donnertrud]

Hi guys,

I got a dictionary with values ranging from 0.25 to -0.25. I am looking for a way, to automatically drop all keys that are either

0 < value < 0.1

or

0 > value > -0.1


so basically all keys' values between 0.1 and -0.1 should be dropped from the dict. Is there an easy way to do that?

[Knight18]

You could iterate over the dictionary, checking each key value and if your conditions are met append that value to a new dictionary.

I don't think you can just drop key values from an existing dictionary.

[donnertrud]

That would work aswell! Can you recall a code to do that ?

[DreamingInsanity]

There's probably many ways of doing this, but personally I would use the filter() method:

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ages = {"0.25": "a", "0.1":"b", "-0.03": "c", "-0.25": "d"}   def myFunc(x):     if (not -0.1 <= float(x) <= 0.1):         return x   ages = { k:ages[str(k)] for k in filter(myFunc, ages) }

Ages would then become: {'0.25': 'a', '-0.25': 'd'}
This could be compressed into 1 line if you wanted:

1	ages = { k:ages[str(k)] for k in filter(lambda x: not -0.1 <= float(x) <= 0.1, ages) }

EDIT: I read your post wrong. I didn't realise the floats were the the values and not the keys. Instead you can do this:

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ages = {"1": "0.25", "2": "0.1", "3": "-0.03", "4": "-0.25"}    ages = { k:ages[str(k)] for k in filter(lambda x: not -0.1 <= float(ages[x]) <= 0.1, ages) } print(ages)

which gets you:

Output:
{'1': '0.25', '4': '-0.25'}

[WiPi]

Here's another straightforward method

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dictOfVals = {1: 0.2, 2: -0.1, 3: 2, 4: 0.1, 5: 0.05}   newDict=dict() # Iterate over all the dict values for value in dictOfVals.values():    if value > 0.1 or value < -0.1:      print(value)

[donnertrud]

Here's another straightforward method

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dictOfVals = {1: 0.2, 2: -0.1, 3: 2, 4: 0.1, 5: 0.05}   newDict=dict() # Iterate over all the dict values for value in dictOfVals.values():    if value > 0.1 or value < -0.1:      print(value)

How would I also get the corresponding key for each value?

[Yoriz]

A dictionary has a pop method:

pop(key[, default])

If key is in the dictionary, remove it and return its value, else return default. If default is not given and key is not in the dictionary, a KeyError is raised.

[donnertrud]

Thanks, with your help I made it work!

Now, is there a convenient way to select these keys in a data frame ? E.g. if the dict gave me the keys : "a" , "b" and "e", I want to select them from the the data frame where they are initially coming from :

1	df = df.columns["a", "b", "e"]

I could do it manually, however I got too many returned keys and I am asking out of curiosity.

[DeaD_EyE]

Try following with pandas:

1 2	df = pd.DataFrame(columns=list("abcdefgh")) df[["a", "b", "c"]]

In the previous question you asked how to get also the keys.
If you want to get also the keys, why not return two dicts?
One dict could hold all ok_values and the other can contain the not_ok_values.

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def classify(mapping):     """     Return two dicts from mapping.     The first dict contains the `ok values`     and the second dict contains the `not ok values`     """     ok_mapping = {}     nok_mapping = {}     for key, value in mapping.items():         if 0 < value < 0.1:             ok_mapping[key] = value         else:             nok_mapping[key] = value     return ok_mapping, nok_mapping     dictOfVals = {1: 0.2, 2: -0.1, 3: 2, 4: 0.1, 5: 0.05} print(classify(dictOfVals))

Output:
({5: 0.05}, {1: 0.2, 2: -0.1, 3: 2, 4: 0.1})