def test_pie_like_px():
# Pie
labels = ["Oxygen", "Hydrogen", "Carbon_Dioxide", "Nitrogen"]
values = [4500, 2500, 1053, 500]
fig = px.pie(names=labels, values=values)
trace = go.Pie(labels=labels, values=values)
_compare_figures(trace, fig)
labels = [
"Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"
]
parents = ["", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve"]
values = [10, 14, 12, 10, 2, 6, 6, 4, 4]
# Sunburst
fig = px.sunburst(names=labels, parents=parents, values=values)
trace = go.Sunburst(labels=labels, parents=parents, values=values)
_compare_figures(trace, fig)
# Treemap
fig = px.treemap(names=labels, parents=parents, values=values)
trace = go.Treemap(labels=labels, parents=parents, values=values)
_compare_figures(trace, fig)
# Funnel
x = ["A", "B", "C"]
y = [3, 2, 1]
fig = px.funnel(y=y, x=x)
trace = go.Funnel(y=y, x=x)
_compare_figures(trace, fig)
# Funnelarea
fig = px.funnel_area(values=y, names=x)
trace = go.Funnelarea(values=y, labels=x)
_compare_figures(trace, fig)
hover_name="country",
animation_frame="year",
range_color=[20, 80],
)
fig.write_html(os.path.join(dir_name, "choropleth.html"), auto_play=False)
import plotly.express as px
tips = px.data.tips()
fig = px.pie(tips, names="smoker", values="total_bill")
fig.write_html(os.path.join(dir_name, "pie.html"), auto_play=False)
import plotly.express as px
tips = px.data.tips()
fig = px.funnel_area(tips, names="smoker", values="total_bill")
fig.write_html(os.path.join(dir_name, "funnel_area.html"), auto_play=False)
import plotly.express as px
fig = px.treemap(
names=[
"Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"
],
parents=["", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve"],
values=[10, 14, 12, 10, 2, 6, 6, 4, 4],
)
fig.write_html(os.path.join(dir_name, "treemap.html"), auto_play=False)
import plotly.express as px
fig.add_trace(go.Funnel(
name = 'Vancouver',
orientation = "h",
y = ["Website visit", "Downloads", "Potential customers", "Requested price", "invoice sent", "Finalized"],
x = [90, 70, 50, 30, 10, 5],
textposition = "outside",
textinfo = "value+percent total"))
fig.show()
# In[ ]:
import plotly.express as px
fig = px.funnel_area(names=["The 1st","The 2nd", "The 3rd", "The 4th", "The 5th"],
values=[5, 4, 3, 2, 1])
fig.show()
# In[ ]:
from plotly import graph_objects as go
fig = go.Figure(go.Funnelarea(
text = ["The 1st","The 2nd", "The 3rd", "The 4th", "The 5th"],
values = [5, 4, 3, 2, 1]
))
fig.show()
'data': [go.Pie(labels=labels, values=values, hole=.3, textinfo='none')],
'layout': {
'title': 'Statewise distribution of cases'
}
}
# processing data for 'age wise'
bins = [0, 13, 20, 60, 110]
labels = ['Kid', 'Teen', 'Adult', 'Senior citizen']
data_age = pd.to_numeric(data['Age Bracket'], errors='coerce')
data_age = data_age.replace('NA', -1)
age_categorical = pd.cut(data_age, bins=bins, labels=labels, right=False)
age_pivot = age_categorical.value_counts()
fig_age_data = px.funnel_area(names=age_pivot.index,
values=age_pivot.values.flatten())
fig_age_data.update_layout(title='Age wise distribution of cases')
# processing data for 'patient current status'
status_pivot = pd.pivot_table(data,
values="Patient Number",
index=["Current Status"],
aggfunc=len).sort_values(by='Patient Number',
ascending=False)
labels = status_pivot.index
values = status_pivot.values.flatten()
fig_status_data = {
'data': [go.Pie(labels=labels, values=values)],