One approach to confirm if the entries in a list present within a cell in a pandas dataframe are the same is to use the all()
function along with a list comprehension.
For example, let's say we have a pandas dataframe named df
with a column named my_list
that contains lists in each cell. We can confirm if all the lists within the column my_list
are the same by using the following code:
if all([x == df['my_list'][0] for x in df['my_list']]):
print("All lists are the same.")
else:
print("Lists are not the same.")
In this code, we first check if all the lists within the column my_list
are equal to the first element of the column my_list
by using a list comprehension [x == df['my_list'][0] for x in df['my_list']]
. The all()
function then checks if all the Boolean values within this list are True
. If all the Boolean values are True
, it means that all the lists in the column my_list
are the same, and we print "All lists are the same." If any Boolean value is False
, it means that not all the lists in the column my_list
are the same, and we print "Lists are not the same."
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Asked: 2023-06-20 17:05:29 +0000
Seen: 9 times
Last updated: Jun 20 '23
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