erdogant

# Make edits in the dataframe.
d3.edge_properties

#      label         x         y  ...   stroke  opacity                     tooltip
# 0      acc  0.796433  0.745925  ...  #000000      0.8   acc <br /> Survival: 44.5
# 1      acc  0.795550  0.739818  ...  #000000      0.8   acc <br /> Survival: 55.0
# 2      acc  0.793272  0.739995  ...  #000000      0.8   acc <br /> Survival: 63.8
# 3      acc  0.803293  0.747982  ...  #000000      0.8   acc <br /> Survival: 11.9
# 4      acc  0.793152  0.725707  ...  #000000      0.8   acc <br /> Survival: 79.7
#    ...       ...       ...  ...      ...      ...                         ...

erdogant

# Load library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks(frame=True)
# Import example
df = d3.import_example('cancer')

# Setup the tooltip
tooltip=df['labels'].values + ' <br /> Survival: ' + df['survival_months'].astype(str).str[0:4].values

erdogant

# Create interactive scatter plot
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# Make scatter
d3.scatter(map_pca[:,0],
           map_pca[:,1],
           x1=map_tsne[:,0],

erdogant

# Import library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# Make particles
d3.particles('D3Blocks', collision=0.05, spacing=10, figsize=[1200, 500])

erdogant

# Import library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# import example
df = d3.import_example('cancer')

# Tooltip

erdogant

##########################################
# Import Titanc dataset and preprocessing.
##########################################
df = hgb.import_example(data='titanic')

print(df)

#      PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked
# 0              1         0       3  ...   7.2500   NaN         S
# 1              2         1       1  ...  71.2833   C85         C

erdogant

#######################################################
# Import Titanic dataset, and preprocessing
#######################################################
# Import the Titanic dataset
df = hgb.import_example(data='titanic')

print(df)
#      PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked
# 0              1         0       3  ...   7.2500   NaN         S
# 1              2         1       1  ...  71.2833   C85         C

erdogant

# Import library
from hgboost import hgboost

# Initialize with default settings.
hgb = hgboost()
# hgb = hgboost(max_eval=250, threshold=0.5, cv=5, test_size=0.2, val_size=0.2, top_cv_evals=10, random_state=1, verbose=3)

# Load example Titanic Dataset
df = hgb.import_example()

erdogant

import pandas as pd

# Create example dataset
df = pd.DataFrame()
df['source']= ['A', 'A', 'B', 'C', 'D']
df['target']= ['F', 'C', 'E', 'D', 'E']
df['weight']= [1, 1, 1, 1, 1]

print(df)
#   source target  weight

erdogant

# Import library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# Import example
df = d3.import_example('energy')

# Input parameters.