Ames Housing Dataset Visualization

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Out:

/home/circleci/project/dabl/plot/supervised.py:526: FutureWarning: The second positional argument of plot is a Series 'y'. If passing a column name, use a keyword.
  FutureWarning)
/home/circleci/project/dabl/preprocessing.py:318: UserWarning: Discarding near-constant features: ['Street', 'Utilities', 'Land Slope', 'Condition 2', 'Roof Matl', 'Heating', 'Low Qual Fin SF', 'Kitchen AbvGr', 'Garage Cond', '3Ssn Porch', 'Pool Area', 'Misc Val']
  near_constant.index[near_constant].tolist()))
Target looks like regression
Showing only top 10 of 26 continuous features
/home/circleci/project/dabl/plot/utils.py:571: UserWarning: Dropped 5 outliers in column Gr Liv Area.
  int(dropped), series.name), UserWarning)
/home/circleci/project/dabl/plot/utils.py:571: UserWarning: Dropped 1 outliers in column Garage Cars.
  int(dropped), series.name), UserWarning)
/home/circleci/project/dabl/plot/utils.py:571: UserWarning: Dropped 2 outliers in column Total Bsmt SF.
  int(dropped), series.name), UserWarning)
/home/circleci/project/dabl/plot/utils.py:571: UserWarning: Dropped 4 outliers in column 1st Flr SF.
  int(dropped), series.name), UserWarning)
/home/circleci/project/dabl/plot/utils.py:571: UserWarning: Dropped 1 outliers in column Garage Yr Blt.
  int(dropped), series.name), UserWarning)
/home/circleci/project/dabl/plot/utils.py:571: UserWarning: Dropped 7 outliers in column Mas Vnr Area.
  int(dropped), series.name), UserWarning)
Showing only top 10 of 42 categorical features

# sphinx_gallery_thumbnail_number = 3
from dabl import plot
from dabl.datasets import load_ames
import matplotlib.pyplot as plt

# load the ames housing dataset
# returns a plain dataframe
data = load_ames()

plot(data, 'SalePrice')
plt.show()