This will be our example data frame:
df = pd.DataFrame({"color": ['red', 'blue', 'red', 'blue']},
index=[True, False, True, False])
color
True red
False blue
True red
False blue
Accessing with .loc
df.loc[True]
color
True red
True red
...
This will be our example data frame:
color name size
0 red rose big
1 blue violet big
2 red tulip small
3 blue harebell small
Using the magic __getitem__ or [] accessor. Giving it a list of True and False of the same length as the dataframe will give you:
...
This will be our example data frame:
color name size
0 red rose big
1 blue violet small
2 red tulip small
3 blue harebell small
Accessing a single column from a data frame, we can use a simple comparison == to compare every element in the column to the given...
This will be our example data frame:
color size
name
rose red big
violet blue small
tulip red small
harebell blue small
We can create a mask based on the index values, just like on a column value.
rose_mask = df.index == 'rose'
df[rose_mask...
