{"id":19914,"date":"2021-02-07T22:36:37","date_gmt":"2021-02-08T03:36:37","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/?p=19914"},"modified":"2021-02-09T21:25:24","modified_gmt":"2021-02-10T02:25:24","slug":"ipywidgets-interactive","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=19914","title":{"rendered":"IPywidgets, interactive"},"content":{"rendered":"\n
\"Justetc<\/a><\/figure>\n\n\n\n

Justetc Social Services (non-profit)<\/a>\u00b7Jan 31<\/a><\/p>\n\n\n\n

from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgetsdef f(x):
    return xinteract(f, x=10);interactive(children=(IntSlider(value=10, description='x', max=30, min=-10), Output()), _dom_classes=('widget-\u2026interact(f, x=True);interactive(children=(Checkbox(value=True, description='x'), Output()), _dom_classes=('widget-interact',))interact(f, x='Hi there!');interactive(children=(Text(value='Hi there!', description='x'), Output()), _dom_classes=('widget-interact',))@interact(x=True, y=1.0)
def g(x, y):
    return (x, y)interactive(children=(Checkbox(value=True, description='x'), FloatSlider(value=1.0, description='y', max=3.0, \u2026interact(f, x=['apples','oranges']);interactive(children=(Dropdown(description='x', options=('apples', 'oranges'), value='apples'), Output()), _do\u2026from IPython.display import display
def f(a, b):
    display(a + b)
    return a+bw = interactive(f, a=10, b=20)type(w)ipywidgets.widgets.interaction.interactivew.children(IntSlider(value=10, description='a', max=30, min=-10),
 IntSlider(value=20, description='b', max=60, min=-20),
 Output())display(w)interactive(children=(IntSlider(value=10, description='a', max=30, min=-10), IntSlider(value=20, description='\u2026<\/pre>\n\n\n\n
Get Justetc Social Services (non-profit)’s stories in your inbox<\/h2>\n\n\n\n
You cannot subscribe to yourself<\/h4>\n\n\n\n
More from Justetc Social Services (non-profit)<\/a><\/h2>\n\n\n\n
All proceeds from Medium will go to Justetc Social Services ( non-profit). Justetc Social Services provides services in the Training and Education Areas.<\/h4>\n\n\n\n
Published in Health System Performance<\/strong><\/a>\u00b7Jan 31<\/a><\/p>\n\n\n\n
from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgetsdef f(x):
    return xinteract(f, x=10);interactive(children=(IntSlider(value=10, description='x', max=30, min=-10), Output()), _dom_classes=('widget-\u2026interact(f, x=True)\u2026<\/pre>\n\n\n\n
Read more in Health System Performance \u00b7 1 min read<\/a><\/a><\/p>\n\n\n\n
\n\n\n\n
Published in Health System Performance<\/strong><\/a>\u00b7Jan 31<\/a><\/p>\n\n\n\n
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inlinefrom __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgetsaccess_to_care = pd.read_excel('..\/data\/access-to-care.xls')
access_to_care.head()<\/pre>\n\n\n\n
\"png\"\/<\/figure>\n\n\n\n
# find all indicators
access_to_care.set_index(['Indicator'])
indicators = pd.Index(access_to_care['Indicator']).unique()

# find all years
years = access_to_care['Data year'].dropna().unique()
indicators[0], years('Inability to Pay for Medical Bills',
 array(['2016', 2016, 'Not applicable', '2015', '2013'], dtype=object))# sort years
years = [ int(aYear) for aYear in years if (aYear != 'Not applicable') and len( str(aYear).split(' ')) <= 1 ]
years = sorted(years)
years

all_years = [0] + years
all_years[0, 2013, 2015, 2016, 2016]plt.rcParams['figure.figsize'] = [10, 10]
def plot_access_to_care(year, indicator, bubble_scale, all_years=all_years):    
    # print('year, indicator', year, indicator)    
    plt.ion()    
    f = plt.figure()
    ax = f.gca()
    f.show()
    
    #indicator_data = health_status.loc[  (health_status['Indicator'] == indicators[0] ) ]    
    if ( year > 1 ):        
        indicator_data = access_to_care.loc[  (access_to_care['Indicator'] == indicator)  & (access_to_care['Data year'] == year) ]        
        ax.scatter(indicator_data['Data year'], indicator_data['Region'], s=indicator_data['Value'] * bubble_scale )
        plt.show()
        
    else:
        for aYear in all_years:
            indicator_data = access_to_care.loc[  (access_to_care['Indicator'] == indicator)  & (access_to_care['Data year'] == aYear) ]
            ax.scatter(indicator_data['Data \u2026<\/pre>\n\n\n\n
Read more in Health System Performance \u00b7 5 min read<\/a><\/a><\/p>\n\n\n\n
\n\n\n\n
Published in Health System Performance<\/strong><\/a>\u00b7Jan 31<\/a><\/p>\n\n\n\n
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inlinefrom __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgetshealth_status = pd.read_excel('..\/data\/health-status.xls')
health_status.head()<\/pre>\n\n\n\n
\"png\"\/<\/figure>\n\n\n\n
health_status.set_index(['Indicator'])
#health_status.loc[health_status['Cancer Mortality (F)']]
#health_status.index.unique()
indicators = pd.Index(health_status['Indicator']).unique()
years = health_status['Data year'].unique()
indicators[0], years[0]('Cancer Mortality (F)', '2013')cancer_mortality_2013 = health_status.loc[  (health_status['Indicator'] == indicators[0]) & (health_status['Data year'] == years[0]) ]
cancer_mortality = health_status.loc[  (health_status['Indicator'] == indicators[0])  & (health_status['Data year'] != 2012) ]
cancer_mortality<\/pre>\n\n\n\n
Read more in Health System Performance \u00b7 4 min read<\/a><\/a><\/p>\n\n\n\n
\n\n\n\n
Published in Health System Performance<\/strong><\/a>\u00b7Jan 31<\/a><\/p>\n\n\n\n
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inlinefrom __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgetshealth_status = pd.read_excel('..\/data\/health-status.xls')
health_status.head()<\/pre>\n\n\n\n
\"png\"\/<\/figure>\n\n\n\n
# find all indicators
health_status.set_index(['Indicator'])
indicators = pd.Index(health_status['Indicator']).unique()

# find all years
years = health_status['Data year'].unique()
indicators[0], years[0]('Cancer Mortality (F)', '2013')# sort years
years = [ int(aYear) for aYear in years if (aYear != 'Not applicable') and len( str(aYear).split(' ')) <= 1 ]
years = sorted(years)
years

all_years = [0] + years
all_years[0, 2012, 2013, 2013, 2014, 2014, 2015, 2015]plt.rcParams['figure.figsize'] = [10, 10]
def plot_health_status(year, indicator, bubble_scale, all_years=all_years):    
    # print('year, indicator', year, indicator)    
    plt.ion()    
    f = plt.figure()
    ax = f.gca()
    f.show()
    
    #indicator_data = health_status.loc[  (health_status['Indicator'] == indicators[0] ) ]
    
    if ( year > 1 ):        
        indicator_data = health_status.loc[  (health_status['Indicator'] == indicator)  & (health_status['Data year'] == year) ]        
        ax.scatter(indicator_data['Data year'], indicator_data['Region'], s=indicator_data['Value'] * bubble_scale )
        plt.show()
        
    else:
        for aYear in all_years:
            indicator_data = health_status.loc[  (health_status['Indicator'] == indicator)  & (health_status['Data year'] == aYear) ]
            ax.scatter(indicator_data['Data \u2026<\/pre>\n\n\n\n
Read more in Health System Performance \u00b7 5 min read<\/a><\/a><\/p>\n\n\n\n
\n\n\n\n
Published in Health System Performance<\/strong><\/a>\u00b7Jan 31<\/a><\/p>\n\n\n\n
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inlinefrom __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgetsnon_med_determinants = pd.read_excel('..\/data\/non-med-determinants.xls')
non_med_determinants.head()<\/pre>\n\n\n\n
\"png\"\/<\/figure>\n\n\n\n
# find all indicators
non_med_determinants.set_index(['Indicator'])
indicators = pd.Index(non_med_determinants['Indicator']).unique()

# find all years
years = non_med_determinants['Data year'].dropna().unique()
indicators[0], years('Alcohol Consumption: Adults',
 array(['2014', '2015', '2013', 2015, 'Not applicable', '2016'],
       dtype=object))# sort years
years = [ int(aYear) for aYear in years if (aYear != 'Not applicable') and len( str(aYear).split(' ')) <= 1 ]
years = sorted(years)
years

all_years = [0] + years
all_years[0, 2013, 2014, 2015, 2015, 2016]plt.rcParams['figure.figsize'] = [10, 10]
def plot_non_med_determinants(year, indicator, bubble_scale, all_years=all_years):    
    # print('year, indicator', year, indicator)    
    plt.ion()    
    f = plt.figure()
    ax = f.gca()
    f.show()
    
    #indicator_data = health_status.loc[  (health_status['Indicator'] == indicators[0] ) ]
    
    if ( year > 1 ):        
        indicator_data = non_med_determinants.loc[  (non_med_determinants['Indicator'] == indicator)  & (non_med_determinants['Data year'] == year) ]        
        ax.scatter(indicator_data['Data year'], indicator_data['Region'], s=indicator_data['Value'] * bubble_scale )
        plt.show()
        
    else:
        for aYear in all_years:
            indicator_data = non_med_determinants.loc[  (non_med_determinants['Indicator'] == indicator)  & (non_med_determinants['Data year'] == aYear) ]
            ax.scatter(indicator_data['Data \u2026<\/pre>\n\n\n\n
Read more in Health System Performance \u00b7 5 min read<\/a><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Justetc Social Services (non-profit)\u00b7Jan 31 from __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetsdef f(x): return xinteract(f, x=10);interactive(children=(IntSlider(value=10, description=’x’, max=30, min=-10), Output()), _dom_classes=(‘widget-\u2026interact(f, x=True);interactive(children=(Checkbox(value=True, description=’x’), Output()), _dom_classes=(‘widget-interact’,))interact(f, x=’Hi there!’);interactive(children=(Text(value=’Hi there!’, description=’x’), Output()), _dom_classes=(‘widget-interact’,))@interact(x=True, y=1.0)def g(x, y): return (x, y)interactive(children=(Checkbox(value=True, description=’x’), FloatSlider(value=1.0, description=’y’, max=3.0, \u2026interact(f, x=[‘apples’,’oranges’]);interactive(children=(Dropdown(description=’x’, options=(‘apples’, ‘oranges’), value=’apples’), Output()), _do\u2026from IPython.display … <\/p>\n
Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1903,1894,1919,182],"tags":[],"class_list":["post-19914","post","type-post","status-publish","format-standard","hentry","category-data-visualization","category-health-system-performance","category-visualize-health-system-performance","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":19916,"url":"http:\/\/bangla.sitestree.com\/?p=19916","url_meta":{"origin":19914,"position":0},"title":"How to use ipywidgets, interactive as used in the project","author":"Sayed","date":"February 7, 2021","format":false,"excerpt":"Justetc Social Services (non-profit)Jan 31\u00a0\u00b7\u00a01\u00a0min read from __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetsdef f(x): return xinteract(f, x=10);interactive(children=(IntSlider(value=10, description='x', max=30, min=-10), Output()), _dom_classes=('widget-\u2026interact(f, x=True);interactive(children=(Checkbox(value=True, description='x'), Output()), _dom_classes=('widget-interact',))interact(f, x='Hi there!');interactive(children=(Text(value='Hi there!', description='x'), Output()), _dom_classes=('widget-interact',))@interact(x=True, y=1.0)def g(x, y): return (x, y)interactive(children=(Checkbox(value=True, description='x'), FloatSlider(value=1.0, description='y', max=3.0, \u2026interact(f, x=['apples','oranges']);interactive(children=(Dropdown(description='x',\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19920,"url":"http:\/\/bangla.sitestree.com\/?p=19920","url_meta":{"origin":19914,"position":1},"title":"health_status_visualizations, Health System Performance, Canada and Others","author":"Sayed","date":"February 7, 2021","format":false,"excerpt":"Justetc Social Services (non-profit)Jan 31\u00a0\u00b7\u00a04\u00a0min read import pandas as pdimport matplotlib.pyplot as plt%matplotlib inlinefrom __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetshealth_status = pd.read_excel('..\/data\/health-status.xls')health_status.head() health_status.set_index(['Indicator'])#health_status.loc[health_status['Cancer Mortality (F)']]#health_status.index.unique()indicators = pd.Index(health_status['Indicator']).unique()years = health_status['Data year'].unique()indicators[0], years[0]('Cancer Mortality (F)', '2013')cancer_mortality_2013 = health_status.loc[ (health_status['Indicator'] == indicators[0]) & (health_status['Data year'] == years[0])\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19922,"url":"http:\/\/bangla.sitestree.com\/?p=19922","url_meta":{"origin":19914,"position":2},"title":"interactive_health_status_visualizations, Health System Performance, Canada and Others","author":"Sayed","date":"February 7, 2021","format":false,"excerpt":"Justetc Social Services (non-profit)Jan 31\u00a0\u00b7\u00a05\u00a0min read import pandas as pdimport matplotlib.pyplot as plt%matplotlib inlinefrom __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetshealth_status = pd.read_excel('..\/data\/health-status.xls')health_status.head() # find all indicatorshealth_status.set_index(['Indicator'])indicators = pd.Index(health_status['Indicator']).unique()# find all yearsyears = health_status['Data year'].unique()indicators[0], years[0]('Cancer Mortality (F)', '2013')# sort yearsyears = [ int(aYear) for\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19924,"url":"http:\/\/bangla.sitestree.com\/?p=19924","url_meta":{"origin":19914,"position":3},"title":"non_med_determinants_visualizations, Health System Performance, Canada and Others","author":"Sayed","date":"February 7, 2021","format":false,"excerpt":"Justetc Social Services (non-profit)Jan 31\u00a0\u00b7\u00a05\u00a0min read import pandas as pdimport matplotlib.pyplot as plt%matplotlib inlinefrom __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetsnon_med_determinants = pd.read_excel('..\/data\/non-med-determinants.xls')non_med_determinants.head() # find all indicatorsnon_med_determinants.set_index(['Indicator'])indicators = pd.Index(non_med_determinants['Indicator']).unique()# find all yearsyears = non_med_determinants['Data year'].dropna().unique()indicators[0], years('Alcohol Consumption: Adults', array(['2014', '2015', '2013', 2015, 'Not applicable', '2016'],\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19918,"url":"http:\/\/bangla.sitestree.com\/?p=19918","url_meta":{"origin":19914,"position":4},"title":"access_to_care, primary-prescribing, Health System Performance, Canada and Others","author":"Sayed","date":"February 7, 2021","format":false,"excerpt":"Justetc Social Services (non-profit)Jan 31\u00a0\u00b7\u00a05\u00a0min read import pandas as pdimport matplotlib.pyplot as plt%matplotlib inlinefrom __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetsaccess_to_care = pd.read_excel('..\/data\/access-to-care.xls')access_to_care.head() # find all indicatorsaccess_to_care.set_index(['Indicator'])indicators = pd.Index(access_to_care['Indicator']).unique()# find all yearsyears = access_to_care['Data year'].dropna().unique()indicators[0], years('Inability to Pay for Medical Bills', array(['2016', 2016, 'Not applicable',\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19926,"url":"http:\/\/bangla.sitestree.com\/?p=19926","url_meta":{"origin":19914,"position":5},"title":"patient-safety, Health System Performance, Canada and Others","author":"Sayed","date":"February 7, 2021","format":false,"excerpt":"Justetc Social Services (non-profit)Jan 31\u00a0\u00b7\u00a05\u00a0min read import pandas as pdimport matplotlib.pyplot as plt%matplotlib inlinefrom __future__ import print_functionfrom ipywidgets import interact, interactive, fixed, interact_manualimport ipywidgets as widgetspatient_safety = pd.read_excel('..\/data\/patient-safety.xls')patient_safety.head() # find all indicatorspatient_safety.set_index(['Indicator'])indicators = pd.Index(patient_safety['Indicator']).unique()# find all yearsyears = patient_safety['Data year'].dropna().unique()indicators[0], years('Foreign Body Left In', array([2015, '2014\u20132015', 'Not applicable', 2014], dtype=object))#\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"http:\/\/bangla.sitestree.com\/?cat=1903"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19914","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19914"}],"version-history":[{"count":1,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19914\/revisions"}],"predecessor-version":[{"id":19915,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19914\/revisions\/19915"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19914"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}