I’ve seen simpler examples of this but I’m trying to get a bit more complex and can’t work it out. If I have an OrderedDict in which the key describes a person and the value is a list of their [age, gender, hairColor]. What I want is to sort the OrderedDict first by age, then by gender, and then by
Tag: ordereddictionary
Converting a iterable of ordered dict’s to pandas dataframe
I am iterating over OrderedDict’s and want to store them as pandas dataframe. Is there a commend to do that? Currently, the code is: One row in res looks like this: OrderedDict([(‘field_id’, 1), (‘date’, datetime.date(2016, 1, 3)), (‘temp’, 30.08), (‘norm_temperature’, None), (‘prcp’, 12.8848107785339), (‘abcd’, 0.0), (‘efgh’, None), (‘ijkl’, 1.38), (‘lmno’, None), (‘poq’, None)]) I get this error: *** TypeError: data
How can you slice with string keys instead of integers on a python OrderedDict?
Since an OrderedDict has the features of both a list (with ordered elements), and a dictionary (with keys instead of indexes), it would seem natural that you could slice using keys. What’s interesting about this is that it’s not the error you’d see due to OrderedDictionary.__getslice__ not being implemented. I tried adding my own __getslice__ method to OrderedDict, but I
Right way to initialize an OrderedDict using its constructor such that it retains order of initial data?
What’s the correct way to initialize an ordered dictionary (OD) so that it retains the order of initial data? Question: Will an OrderedDict preserve the order of a list of tuples, or tuple of tuples or tuple of lists or list of lists etc. passed at the time of initialization (2nd & 3rd example above)? How does one go about