New submission from Avnish Midha <avnishb...@gmail.com>:
The dict does not seem to work as one would expect a dictionary or a hashtable
to work.
dict.update(otherdict) just replaces the entries as per otherdict, removing
items which were extra in dict too and just keeping items as per new data in
otherdict only. Shouldn't this be actually about updating the dict with
new/updated entries and not touching those entries which pre-existed?
Sample program below:
import pandas as pd
x = {'name': ['A', 'B', 'C'], 'col2': [3, 4,6]}
y = {'name': ['B', 'C', 'D', 'E'], 'col2': [1,2, 9, 10]}
print ("X = \n" + str(x))
print ("Y = \n" + str(y))
x.update(y)
print ("updated dict = \n" + str(x) + "\n")
#####
Output:
X =
{'name': ['A', 'B', 'C'], 'col2': [3, 4, 6]}
Y =
{'name': ['B', 'C', 'D', 'E'], 'col2': [1, 2, 9, 10]}
updated dict =
{'name': ['B', 'C', 'D', 'E'], 'col2': [1, 2, 9, 10]}
Expected value:
updated dict =
{'name': ['A','B', 'C', 'D', 'E'], 'col2': [3, 1, 2, 9, 10]}
Somehow to do this basic hashtable or dictionary update kind of operation is
too complex in python and update() should have actually functioned as expected
above IMO.
----------
components: Interpreter Core
files: dict_try.py
messages: 310397
nosy: Avnish Midha
priority: normal
severity: normal
status: open
title: dict.update does not concat/replace if same key
type: behavior
versions: Python 3.6
Added file: https://bugs.python.org/file47400/dict_try.py
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<https://bugs.python.org/issue32617>
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