nested dictionary python example

How do you create nested dict in Python?

stackoverflow.com › questions › 16333296 › how-do-you-create-nested-dict-in-python

A nested dict is a dictionary within a dictionary. A very simple thing.

Copy>>> d = {}
>>> d['dict1'] = {}
>>> d['dict1']['innerkey'] = 'value'
>>> d['dict1']['innerkey2'] = 'value2'
>>> d
{'dict1': {'innerkey': 'value', 'innerkey2': 'value2'}}

You can also use a defaultdict from the collections package to facilitate creating nested dictionaries.

Copy>>> import collections
>>> d = collections.defaultdict(dict)
>>> d['dict1']['innerkey'] = 'value'
>>> d  # currently a defaultdict type
defaultdict(<type 'dict'>, {'dict1': {'innerkey': 'value'}})
>>> dict(d)  # but is exactly like a normal dictionary.
{'dict1': {'innerkey': 'value'}}

You can populate that however you want.

I would recommend in your code something like the following:

Copyd = {}  # can use defaultdict(dict) instead

for row in file_map:
    # derive row key from something 
    # when using defaultdict, we can skip the next step creating a dictionary on row_key
    d[row_key] = {} 
    for idx, col in enumerate(row):
        d[row_key][idx] = col

According to your comment:

may be above code is confusing the question. My problem in nutshell: I have 2 files a.csv b.csv, a.csv has 4 columns i j k l, b.csv also has these columns. i is kind of key columns for these csvs'. j k l column is empty in a.csv but populated in b.csv. I want to map values of j k l columns using 'i` as key column from b.csv to a.csv file

My suggestion would be something like this (without using defaultdict):

Copya_file = "path/to/a.csv"
b_file = "path/to/b.csv"

# read from file a.csv
with open(a_file) as f:
    # skip headers
    f.next()
    # get first colum as keys
    keys = (line.split(',')[0] for line in f) 

# create empty dictionary:
d = {}

# read from file b.csv
with open(b_file) as f:
    # gather headers except first key header
    headers = f.next().split(',')[1:]
    # iterate lines
    for line in f:
        # gather the colums
        cols = line.strip().split(',')
        # check to make sure this key should be mapped.
        if cols[0] not in keys:
            continue
        # add key to dict
        d[cols[0]] = dict(
            # inner keys are the header names, values are columns
            (headers[idx], v) for idx, v in enumerate(cols[1:]))

Please note though, that for parsing csv files there is a csv module.

Answer from Inbar Rose on Stack Overflow

W3Schools

w3schools.com › python › python_dictionaries_nested.asp

Python - Nested Dictionaries

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Programiz

programiz.com › python-programming › nested-dictionary

Python Nested Dictionary (With Examples)

In the above program, we assign a dictionary literal to people[4]. The literal have keys name, age and sex with respective values. Then we print the people[4], to see that the dictionary 4 is added in nested dictionary people. In Python, we use “ del “ statement to delete elements from ...

Discussions

How do you create nested dict in Python? - Stack Overflow

I have 2 CSV files: 'Data' and 'Mapping': 'Mapping' file has 4 columns: Device_Name, GDN, Device_Type, and Device_OS. All four columns are populated. 'Data' file has these same columns, with Device... More on stackoverflow.com

stackoverflow.com

Readability for defining a nested dict

Literals should generally be preferred over calling the constructors, so in my opinion

d = {key: {'k1': '', 'k2': []} for key in all_keys}

would be the better of the two.

Another potential option would be:

all_keys = [...]
data = dict.fromkeys(all_keys, {'k1': '', 'k2': []})

but I don't remember if this would cause problems with mutable types - it's possible every inner dict or the lists would actually be the exact same.

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