-
Day 6 - 여정의 시작
# Python, # Pandas
오늘 배운 것:
*Pandas:*
1. 데이터의 구조를 변형시키기 (melt, pivot_table 등)
2. 데이터의 세부적인 내용을 고치는 법 (replace)
3. 서로 다른 데이터를 결합하는 법 (concat, merge)
앞으로의 과제:
1. 추가적…
-
Hey guys :)
I get another weird environment issue and I cannot narrow down the dependency causing it.
Today I was trying to install `xclim` in my environment and, for some reason, conda wants me t…
-
## Description
checkov always eagerly loads all runners and checks on all CLI invocations, regardless of whether they are needed or not. I guess this was not always an issue but currently it seems …
-
Day 8 - 여정의 시작
# Visualization, # Pandas
오늘 배운 것:
*시각화:*
1. 데이터의 다양한 시각화 기법:
- seaborn, plotly, pandas, dash, matplotlib, ...
2. 데이터 시각화의 목적:
- 데이터를 단순히 테이블로 보는 것만으로는 인사이트를 얻기 힘들기 때문에, …
-
A common use-case is to generate all hexagons that intersect with a given polygon. That's not straightforward to do using H3.
One approximate solution is to first generate a finer resolution grid …
-
### Pandas version checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsn…
-
https://stackoverflow.com/questions/75235467/how-to-parallelize-a-pandas-udf-in-polars-h3-polyfill-for-string-typed-udf-out/75235973#75235973
add support for vectorized polyfill function to fill …
-
## Original discussions at BiDS
- Do not separate climate versus EO
- More about grids and it is more about GIS versus global model grids
- one assumption is the co-gridding. Alignment of samples…
-
It is not quite simple to install s5a on windows, because it uses h3. After a long time of attempting to install h3 on windows and than s5a.
I wanted to start and try out s5a and found the error:
…
-
Day 8 - 여정의 시작
# Visualization, # Pandas, # Join, # Merge, # Concatenate
오늘 배운 것:
1. 데이터의 Join및 검색
- 데이터에 대한 조건부 검색
- 데이터의 join(Inner Join, Outer Join, Left Join, Right Join)
2. 데이터의 시각화…