erdogant

# Load the dataframe as shown in code section 1

#               datetime  sample_id     state
# 0  2000-01-01 00:00:00          1      home
# 1  2000-01-01 00:00:05          1    school
# 2  2000-01-01 00:00:10          1      work
# 3  2000-01-01 00:00:15          1    eating
# 4  2000-01-01 00:00:20          1    coffee
# 5  2000-01-01 00:00:25          1  sleeping
# 0  2000-01-01 00:00:00          2      home

erdogant

# Import library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# Import example
df = d3.import_example(data='random_time', n=10000, c=500, date_start="01-01-2000 00:10:05", date_stop="01-02-2000 23:59:59")

print(df)

erdogant

# Import
from d3blocks import D3Blocks

# Initialize with specific colormap.
d3 = D3Blocks()

# Create the chart.
d3.movingbubbles(df,
                 speed={"slow": 1000, "medium": 200, "fast": 10},
                 time_notes=time_notes,

erdogant

import pandas as pd
from d3blocks import D3Blocks
d3 = D3Blocks()

df1 = pd.DataFrame(columns=['datetime', 'sample_id', 'state'])
df1['datetime'] = ['01-01-2000 00:00:00',
                   '01-01-2000 00:05:00',
                   '01-01-2000 00:10:00',
                   '01-01-2000 00:15:00',
                   '01-01-2000 00:20:00',

erdogant

# Import library.
from d3blocks import D3Blocks

# Initialize.
d3 = D3Blocks()

# Input parameters.
d3.movingbubbles(df,
                 datetime='datetime',
                 sample_id='sample_id',

erdogant

# Import
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

# Import example
img_before, img_after = d3.import_example('unsplash')

print(img_before)

erdogant

# Import library
from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

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

#          x          y   age  ... labels 

erdogant

# Import library
from d3blocks import D3Blocks

# Set color scheme
d3 = D3Blocks()

# Generate random data with various states
df = d3.import_example('random_time', n=10000, c=500, date_start="1-1-2000 00:10:05", date_stop="1-1-2001 23:59:59")

#                 datetime sample_id     state

erdogant

# Import library.
from d3blocks import D3Blocks

# Initialize and set the datetime format
d3 = D3Blocks()

# Import climate dataset
df = d3.import_example('climate')

# Print

erdogant

from d3blocks import D3Blocks

# Initialize
d3 = D3Blocks()

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

# Create the heatmap
d3.heatmap(df, showfig=True, stroke='red', vmax=10, figsize=(700,700))