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Python 2022-02-02 04:52:24
update csv file in python using pandas
I was able to get the desired data frame. import pandas as pd import numpy as np df1 = pd.read_csv('\\dir\\test1.csv', index_col=0) df2 = pd.read_csv('\\dir\\test2.csv', index_col=0) new_index = list(set(list(df1.index.values)+list(df2.index.values))) ... Add solution -
TypeScript 2022-02-02 02:36:21
python set remove duplicate elements
new_menu = ['Hawaiian', 'Margherita', 'Mushroom', 'Prosciutto', 'Meat Feast', 'Hawaiian', 'Bacon', 'Black Olive Special', 'Sausage', 'Sausage'] final_new_menu = list(set(new_menu)) print(final_new_men) #output = ['Hawaiian', 'Margherita', 'Mushroom', '... Add solution -
Python 2022-01-27 19:37:02
python list with only unique values
my_list = list(set(my_list)) Add solution -
Python 2021-11-22 07:52:26
unique list values python ordered
my_list = list(set(my_list)) Add solution -
Python 2021-11-13 22:39:10
python count unique values in list
# Basic syntax: len(set(my_list)) # By definition, sets only contain unique elements, so when the list # is converted to a set all duplicates are removed. # Example usage: my_list = ['so', 'so', 'so', 'many', 'duplicated', 'words'] len(set(my_list)) --&... Add solution -
Python 2021-11-02 20:39:23
numpy unique vs set
strs = np.repeat(np.array(['a', 'b', 'c'], dtype='O'), 10000) In [11]: %timeit pd.unique(strs) 558 µs ± 16.6 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) In [12]: %timeit list(set(strs)) 531 µs ± 13.7 ... Add solution
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