Python Pandas For Your Grandpa - 5.2 Challenge: Pickle
Contents
Setup
Given a Series called pickle
, replace NaN
s using the following algorithm.
For each NaN:
- get the nearest non-
NaN
value before and after it - replace
NaN
with the minimum of those two non-NaN
values
For NaN
s on or near the endpoints of the Series, use the closest non-NaN
value.
import numpy as np
import pandas as pd
pickle = pd.Series([1.5, np.nan, 2.3, np.nan, np.nan, -3.9, np.nan, 4.5, np.nan, np.nan, np.nan, 1.9, np.nan])
print(pickle)
## 0 1.5
## 1 NaN
## 2 2.3
## 3 NaN
## 4 NaN
## 5 -3.9
## 6 NaN
## 7 4.5
## 8 NaN
## 9 NaN
## 10 NaN
## 11 1.9
## 12 NaN
## dtype: float64
Solution
prevs = pickle.ffill()
nexts = pickle.bfill()
pickle.fillna(pd.concat([prevs, nexts], axis=1).min(axis=1))
## 0 1.5
## 1 1.5
## 2 2.3
## 3 -3.9
## 4 -3.9
## 5 -3.9
## 6 -3.9
## 7 4.5
## 8 1.9
## 9 1.9
## 10 1.9
## 11 1.9
## 12 1.9
## dtype: float64
Course Curriculum
- Introduction
1.1 Introduction - Series
2.1 Series Creation
2.2 Series Basic Indexing
2.3 Series Basic Operations
2.4 Series Boolean Indexing
2.5 Series Missing Values
2.6 Series Vectorization
2.7 Seriesapply()
2.8 Series View vs Copy
2.9 Challenge: Baby Names
2.10 Challenge: Bees Knees
2.11 Challenge: Car Shopping
2.12 Challenge: Price Gouging
2.13 Challenge: Fair Teams - DataFrame
3.1 DataFrame Creation
3.2 DataFrame To And From CSV
3.3 DataFrame Basic Indexing
3.4 DataFrame Basic Operations
3.5 DataFrameapply()
3.6 DataFrame View vs Copy
3.7 DataFramemerge()
3.8 DataFrame Aggregation
3.9 DataFramegroupby()
3.10 Challenge: Hobbies
3.11 Challenge: Party Time
3.12 Challenge: Vending Machines
3.13 Challenge: Cradle Robbers
3.14 Challenge: Pot Holes - Advanced
4.1 Strings
4.2 Dates And Times
4.3 Categoricals
4.4 MultiIndex
4.5 DataFrame Reshaping
4.6 Challenge: Class Transitions
4.7 Challenge: Rose Thorn
4.8 Challenge: Product Volumes
4.9 Challenge: Session Groups
4.10 Challenge: OB-GYM - Final Boss
5.1 Challenge: COVID Tracing
5.2 Challenge: Pickle
5.3 Challenge: TV Commercials
5.4 Challenge: Family IQ
5.5 Challenge: Concerts