take a close look at Geopandas. 25.6 sklearn-pandas Use pandas DataFrames in your scikit-learn ML pipeline. 564 Chapter 25. Pandas Ecosystem CHAPTER TWENTYSIX COMPARISON WITH R / R LIBRARIES Since pandas

container for computation. 25.1.2 sklearn-pandas Use pandas DataFrames in your scikit-learn ML pipeline. 25.2 Visualization 25.2.1 Vincent The Vincent project leverages Vega (that in turn, leverages

in raw data. That said, you may want to avoid introducing duplicates as part of a data processing pipeline (from methods like pandas. concat(), rename(), etc.). Both Series and DataFrame disallow duplicate duplicate labels), deduplicate, and then disallow duplicates going forward, to ensure that your data pipeline doesn’t introduce duplicates. >>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0)

in raw data. That said, you may want to avoid introducing duplicates as part of a data processing pipeline (from methods like pandas. concat(), rename(), etc.). Both Series and DataFrame disallow duplicate duplicate labels), deduplicate, and then disallow duplicates going forward, to ensure that your data pipeline doesn’t introduce duplicates. >>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0)

in raw data. That said, you may want to avoid introducing duplicates as part of a data processing pipeline (from methods like pandas.concat(), rename(), etc.). Both Series and DataFrame disallow duplicate duplicate labels), deduplicate, and then disallow duplicates going forward, to ensure that your data pipeline doesn’t introduce duplicates. >>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0)

in raw data. That said, you may want to avoid introducing duplicates as part of a data processing pipeline (from methods like pandas.concat(), rename(), etc.). Both Series and DataFrame disallow duplicate duplicate labels), deduplicate, and then disallow duplicates going forward, to ensure that your data pipeline doesn’t introduce duplicates. >>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0)

in raw data. That said, you may want to avoid introducing duplicates as part of a data processing pipeline (from methods like pandas. concat(), rename(), etc.). Both Series and DataFrame disallow duplicate duplicate labels), deduplicate, and then disallow duplicates going forward, to ensure that your data pipeline doesn’t introduce duplicates. >>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0)

container for computation. 29.1.2 sklearn-pandas Use pandas DataFrames in your scikit-learn ML pipeline. 29.2 Visualization 29.2.1 Bokeh Bokeh is a Python interactive visualization library for large

container for computation. 29.1.2 sklearn-pandas Use pandas DataFrames in your scikit-learn ML pipeline. 29.2 Visualization 29.2.1 Bokeh Bokeh is a Python interactive visualization library for large

in raw data. That said, you may want to avoid introducing duplicates as part of a data processing pipeline (from methods like pandas.concat(), rename(), etc.). Both Series and DataFrame disallow duplicate duplicate labels), deduplicate, and then disallow duplicates going forward, to ensure that your data pipeline doesn’t introduce duplicates. >>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0)