Description:
apandasexclosestneighbours 0.10
Find the lower and upper neighbours in a pandas.Series
pip install a-pandas-ex-closest-neighbours
Usage:
from a_pandas_ex_closest_neighbours import pd_add_closest_neighbours
import pandas as pd
from random import choice # random dataframe
pd_add_closest_neighbours()
sizes = list(range(1, 100))
df = pd.DataFrame([choice(sizes) for x in range(1000)])
df.columns = ['num']
df
Out[3]:
num
0 17
1 32
2 17
3 90
4 76
.. ...
995 69
996 82
997 65
998 84
999 62
[1000 rows x 1 columns]
min_neighbours2, max_neighbours2 = df.num.s_find_closest_neighbours(value=72, convertdtypes=True,
accept_exact_match=False)
min_neighbours2
Out[8]:
lower_index lower_value
0 95 71
1 184 71
2 265 71
3 291 71
4 486 71
5 569 71
6 644 71
7 652 71
8 742 71
9 804 71
10 830 71
11 964 71
max_neighbours2
Out[9]:
upper_index upper_value
0 26 73
1 44 73
2 119 73
3 161 73
4 219 73
5 397 73
6 415 73
7 492 73
8 593 73
9 610 73
10 612 73
11 802 73
min_neighbours2, max_neighbours2 = df.num.s_find_closest_neighbours(value=72, convertdtypes=True,
accept_exact_match=True)
max_neighbours1
Out[4]:
upper_index upper_value
0 105 72
1 147 72
2 210 72
3 281 72
4 317 72
5 361 72
6 377 72
7 386 72
8 485 72
9 521 72
10 675 72
11 956 72
12 957 72
min_neighbours1
Out[5]:
lower_index lower_value
0 105 72
1 147 72
2 210 72
3 281 72
4 317 72
5 361 72
6 377 72
7 386 72
8 485 72
9 521 72
10 675 72
11 956 72
12 957 72
Parameters:
series:pd.Series
Only pandas.Series
value:Union[float,int]
the value you want to have the closest neighbours from
convertdtypes:bool
converts string numbers to numbers
(default=False)
accept_exact_match:bool
example:
True: if you are passing 72, and 72 is in the Series, the minimum and maximum values will be all the same, that means: 72
False: All cells with 72 are excluded, and you won't see 72 in the results
(default=False)
Returns:
tuple
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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