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UI.py
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UI.py
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import pandas as pd
import numpy as np
import streamlit as st
import plotly.express as px
import altair as alt
__author__ = 'Aleksandar Anžel'
__copyright__ = ''
__credits__ = ['Aleksandar Anžel', 'Georges Hattab']
__license__ = 'GNU General Public License v3.0'
__version__ = '1.0'
__maintainer__ = 'Aleksandar Anžel'
__email__ = '[email protected]'
__status__ = 'Dev'
SEED = 42
np.random.seed(SEED)
# Function that changes font family globaly
def sans_serif():
font = "Sans Serif"
return {
"config": {
"title": {'font': font},
"axis": {
"labelFont": font,
"titleFont": font
},
"header": {
"labelFont": font,
"titleFont": font
},
"legend": {
"labelFont": font,
"titleFont": font
}
}
}
alt.themes.register('sans_serif', sans_serif)
alt.themes.enable('sans_serif')
st.set_page_config(page_title='UI proposal', layout='wide')
color_list = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', 'white']
def calc_midpoints(y):
x = []
for i in range(len(y)):
prev = y[: i]
x.append(y[i]/2 + sum(prev))
return x
def basic_chart(data):
capacity_value = data['Capacity'][0]
data.drop('Capacity', axis=1, inplace=True)
data = data.reset_index().melt(id_vars=['index'])
data['text_pos'] = calc_midpoints(data['value'])
chart = alt.Chart(data).mark_bar(
size=70, order=False, stroke='gray', strokeWidth=1).encode(
alt.X('value:Q', axis=None, stack='zero'),
alt.Color('variable:N', legend=alt.Legend(title=''),
scale=alt.Scale(domain=['Used', 'Free'],
range=['Gray', 'White']),
sort='ascending'),
alt.Tooltip('value_in_kb:N', title='Size'),
alt.Order('variable', sort='descending')
).transform_calculate(
perc_text=alt.datum.value*100/capacity_value + ' %',
value_in_kb=alt.datum.value + ' KB'
).properties(height=100)
text = alt.Chart(data).mark_text(size=12, color='black').encode(
alt.X('text_pos:Q'),
alt.Text('perc_text:Q', format='.1f'),
alt.Tooltip('value_in_kb:N', title='Size'),
# alt.Tooltip('perc_accurate:N', title='Percentage'),
alt.Order('variable', sort='descending')
).transform_calculate(
perc_text=alt.datum.value*100/capacity_value,
value_in_kb=alt.datum.value + ' KB',
perc_accurate=alt.datum.perc_text + ' %',
)
final_chart = alt.layer(chart, text).resolve_scale(
color='independent'
).configure_legend(
labelFontSize=12
)
return final_chart.configure_axis(grid=False).configure_view(strokeWidth=0)
def advanced_chart(data):
capacity_value = data['Capacity'][0]
free_value = data['Free'][0]
data.drop(['Free', 'Capacity'], axis=1, inplace=True)
data['Audio'] = np.round(data['Used'] * 0.25, 2)
data['Video'] = np.round(data['Used'] * 0.4, 2)
data['Documents'] = np.round(data['Used'] * 0.2, 2)
data['Other'] = np.round(data['Used'] - data['Audio'] - data['Video']
- data['Documents'], 2)
data['Free'] = pd.Series([free_value])
data.drop('Used', axis=1, inplace=True)
data = data.reset_index().melt(id_vars=['index'])
data['text_pos'] = calc_midpoints(data['value'])
data['index'] = data.index.to_list()
chart = alt.Chart(data).mark_bar(
size=70, order=False, stroke='gray', strokeWidth=1
).encode(
alt.X('value:Q', axis=None, stack='zero'),
alt.Color('variable:N', legend=alt.Legend(title=''),
scale=alt.Scale(domain=['Audio', 'Video', 'Documents',
'Other', 'Free'],
range=color_list),),
alt.Tooltip('value_in_kb:N', title='Size'),
alt.Order('index:O')
).transform_calculate(
perc_text=alt.datum.value + ' %',
value_in_kb=alt.datum.value + ' KB'
).properties(height=100)
text = alt.Chart(data).mark_text(size=12, color='black').encode(
alt.X('text_pos:Q'),
alt.Text('perc_text:Q', format='.1f'),
alt.Tooltip('value_in_kb:N', title='Size'),
# alt.Tooltip('perc_accurate:N', title='Percentage'),
alt.Order('index:O'),
).transform_calculate(
perc_text=alt.datum.value*100/capacity_value,
value_in_kb=alt.datum.value + ' KB',
perc_accurate=alt.datum.perc_text + ' %'
)
final_chart = alt.layer(chart, text).resolve_scale(
color='independent'
).configure_legend(
labelFontSize=12
)
return final_chart.configure_axis(grid=False).configure_view(strokeWidth=0)
def advanced_treechart():
tmp_root = ['Desktop', 'Documents', 'Documents', 'Documents', 'Documents',
'Documents', 'Downloads', 'Games', 'Games',
'Music', 'Music', 'Music', 'Music', 'Music', 'Music',
'Pictures', 'Pictures', 'Pictures', 'Pictures', 'Pictures',
'Public', 'Templates', 'Video', 'Video', 'Video', 'Video']
tmp_level_1 = [None, 'Work_stuff', 'Work_stuff', 'Conference',
'Conference', 'Conference', None, 'New', 'Old', 'Various',
'Various', 'Pop', 'Rock', 'Latino', 'Latino', 'Birthday',
'Birthday', 'Vacation', 'Vacation', 'Vacation', None, None,
'Movies', 'Movies', 'Series', 'Series']
tmp_level_2 = [None, 1, 2, 3, 10, 5, None, 4, 33, 12, 1, None, 66,
13, 42, 2, 145, 121, 200, 63, None, None, 121, 1, 120, 7]
dummy_treemap_data = pd.DataFrame(dict(level_0=tmp_root,
level_1=tmp_level_1,
level_2=tmp_level_2))
dummy_treemap_data['root'] = 'root'
chart = px.treemap(dummy_treemap_data, path=['root', 'level_0', 'level_1'],
values='level_2', color='level_0',
color_discrete_map={'Desktop': color_list[3],
'Pictures': color_list[3],
'Games': color_list[3],
'Music': color_list[0],
'Documents': color_list[2],
'Video': color_list[1],
'(?)': color_list[-1]})
chart.update_layout(
font_family='Sans Serif',
title_font_family='Sans Serif'
)
return chart
def advanced_lifespan_chart():
tmp_lifespan_series = pd.Series(np.random.randint(28, 56, 1000),
name='Lifespan')
tmp_estimate = pd.Series([42], name='Estimate')
tmp_lifespan_data = pd.DataFrame(tmp_lifespan_series)
tmp_estimate_data = pd.DataFrame(tmp_estimate)
chart_1 = alt.Chart(tmp_lifespan_data).mark_boxplot(
size=50, color='gray', opacity=0.7,
rule=alt.MarkConfig(size=6, opacity=0.5)
).encode(
alt.X('Lifespan:Q', axis=alt.Axis(title=None, grid=False),
scale=alt.Scale(domain=[0, 100])),
).properties(height=100)
chart_2 = alt.Chart(tmp_estimate_data).mark_rule(
size=4, color='black', opacity=0.6
).encode(
alt.X('Estimate:Q', axis=alt.Axis(title=None, grid=False),
scale=alt.Scale(domain=[0, 100]))
)
chart = chart_1 + chart_2
return chart.configure_axis(grid=False).configure_view(strokeWidth=0)
def main():
dummy_data = pd.DataFrame({'Capacity': 1271234, 'Used': 801234}, index=[0])
dummy_data['Free'] = dummy_data['Capacity'] - dummy_data['Used']
st.title('UI proposal')
st.markdown('---')
selected_checkbox = st.checkbox('Advanced view')
st.markdown(' ')
st.markdown(' ')
if selected_checkbox:
st.altair_chart(advanced_chart(dummy_data), use_container_width=True)
adv_col_1, adv_col_2 = st.beta_columns([1, 2.5])
adv_col_1.markdown(' ')
adv_col_1.markdown(' ')
adv_col_1.markdown('Lifespan: **42 years**')
adv_col_2.altair_chart(advanced_lifespan_chart(),
use_container_width=True)
st.markdown('Accessibility: **sequential**')
st.markdown('Temperature: **45°C**')
st.markdown('Mutability: **read/write**')
st.markdown(' ')
st.markdown('**Directory structure:**')
st.plotly_chart(advanced_treechart(), use_container_width=True)
else:
st.altair_chart(basic_chart(dummy_data), use_container_width=True)
st.markdown('Accessibility: **sequential**')
st.markdown(' ')
st.markdown('**Directory structure:**')
st.text('''
/home/user
├── Desktop
├── Documents
├── Downloads
├── Games
├── Music
├── Pictures
└── Videos
7 directories
''')
if __name__ == "__main__":
main()