dataframe slice by list of values
In [1]: df = pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})
In [2]: df
Out[2]:
A B
0 5 1
1 6 2
2 3 3
3 4 5
In [3]: df[df['A'].isin([3, 6])]
Out[3]:
A B
1 6 2
2 3 3dataframe slice by list of values
In [1]: df = pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})
In [2]: df
Out[2]:
A B
0 5 1
1 6 2
2 3 3
3 4 5
In [3]: df[df['A'].isin([3, 6])]
Out[3]:
A B
1 6 2
2 3 3python subset
# Creating sets
A = {1, 2, 3}
B = {1, 2, 3, 4, 5}
# Checking if A is subset of B (vice versa)
# Returns True
# A is subset of B
print(A.issubset(B))
# Returns False
# B is not subset of A
print(B.issubset(A))how to check if a list is a subset of another list
if(all(x in test_list for x in sub_list)):
flag = Truepython - row slice dataframe by number of rows
df.iloc[[1, 5]] # Get rows 1 and 5
df.iloc[1:6] # Get rows 1 to 5 inclusive
df.iloc[[1, 5], df.columns.get_loc('Shop')] # Get only specific column
df.iloc[[1, 5], df.columns.get_indexer(['Shop', 'Category'])] # Get multiple columnsselect columns to include in new dataframe in python
new = old.filter(['A','B','D'], axis=1)Copyright © 2021 Codeinu
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