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Feature/doc#986 - Document best practice on main script #1

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Feature/doc#986 - Document best practice on main script #1

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17 changes: 8 additions & 9 deletions src/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
# specific language governing permissions and limitations under the License.

import taipy as tp
from taipy.gui import Gui

Expand All @@ -16,16 +17,14 @@
from taipy import Core
from pages import *


pages = {
"/": root_page,
"Overview": Overview,
"Analysis": Analysis,
"Predictions": Predictions
}


if __name__ == "__main__":
pages = {
"/": root_page,
"Overview": Overview,
"Analysis": Analysis,
"Predictions": Predictions
}

core = Core()
core.run()
# #############################################################################
Expand Down
25 changes: 11 additions & 14 deletions src_enterprise/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
# specific language governing permissions and limitations under the License.

import taipy as tp
from taipy.gui import Gui, notify

Expand All @@ -18,18 +19,6 @@
from taipy import Core
from pages import *


pages = {
"/": root_page,
"login": login_page,
"Overview": Overview,
"Analysis": Analysis,
"Predictions": Predictions,
"Admin": Admin,
}

current_page = "Overview"

def on_navigate(state, page):
if page not in ["login", "TaiPy_root_page"]:
state.current_page = page
Expand All @@ -41,9 +30,18 @@ def on_navigate(state, page):
else:
return page

if __name__ == "__main__":
pages = {
"/": root_page,
"login": login_page,
"Overview": Overview,
"Analysis": Analysis,
"Predictions": Predictions,
"Admin": Admin,
}

current_page = "Overview"

if __name__ == "__main__":
core = Core()
core.run()
# #############################################################################
Expand All @@ -56,7 +54,6 @@ def on_navigate(state, page):
# Comment, remove or replace the previous lines with your own use case #
# #############################################################################


gui = Gui(pages=pages)
gui.run(title="Sales Enterprise", port=2853, dark_mode=False)

118 changes: 57 additions & 61 deletions src_single_page_taipy_tech_talk/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,6 @@
import taipy.gui.builder as tgb


data = pd.read_csv('data/modified_supermarkt_sales_plus.csv')


def create_pie_figure(data, group_by: str):
grouped_data = data.groupby(group_by)['Total'].sum().reset_index()
grouped_data['Total'] = grouped_data['Total'].round(2)
Expand Down Expand Up @@ -37,86 +34,85 @@ def create_perc_fig(df, group_column):
fig = px.bar(df, x='Month_Year', y='Percentage', color=group_column, title=f"Evolution of Sales by {group_column} over Time", labels={'Percentage': '% of Total'}, text_auto=True)
return fig

def on_selector(state):
filtered_data = state.data.loc[
state.data["City"].isin(state.city)
]

fig_map = create_sales_by_city_map(data)

fig_product_line = create_pie_figure(data, 'Product_line')
fig_city = create_pie_figure(data, 'City')
fig_customer_type = create_pie_figure(data, 'Customer_type')
state.fig_product_line_perc = create_perc_fig(filtered_data, 'Product_line')
state.fig_city_perc = create_perc_fig(filtered_data, 'City')
state.fig_gender_perc = create_perc_fig(filtered_data, 'Gender')
state.fig_customer_type_perc = create_perc_fig(filtered_data, 'Customer_type')

fig_time = create_bar_figure(data, 'Time')
fig_date = create_bar_figure(data, 'Date')
if __name__ == "__main__":
data = pd.read_csv('data/modified_supermarkt_sales_plus.csv')

fig_map = create_sales_by_city_map(data)

city = ["Bangkok", "Chiang Mai", "Vientiane", "Luang Prabang", "Yangon", "Naypyitaw"]
fig_product_line = create_pie_figure(data, 'Product_line')
fig_city = create_pie_figure(data, 'City')
fig_customer_type = create_pie_figure(data, 'Customer_type')

filtered_data = data.loc[
data["City"].isin(city)
]
fig_time = create_bar_figure(data, 'Time')
fig_date = create_bar_figure(data, 'Date')

fig_product_line_perc = create_perc_fig(filtered_data, 'Product_line')
fig_city_perc = create_perc_fig(filtered_data, 'City')
fig_gender_perc = create_perc_fig(filtered_data, 'Gender')
fig_customer_type_perc = create_perc_fig(filtered_data, 'Customer_type')

city = ["Bangkok", "Chiang Mai", "Vientiane", "Luang Prabang", "Yangon", "Naypyitaw"]

def on_selector(state):
filtered_data = state.data.loc[
state.data["City"].isin(state.city)
filtered_data = data.loc[
data["City"].isin(city)
]

state.fig_product_line_perc = create_perc_fig(filtered_data, 'Product_line')
state.fig_city_perc = create_perc_fig(filtered_data, 'City')
state.fig_gender_perc = create_perc_fig(filtered_data, 'Gender')
state.fig_customer_type_perc = create_perc_fig(filtered_data, 'Customer_type')
fig_product_line_perc = create_perc_fig(filtered_data, 'Product_line')
fig_city_perc = create_perc_fig(filtered_data, 'City')
fig_gender_perc = create_perc_fig(filtered_data, 'Gender')
fig_customer_type_perc = create_perc_fig(filtered_data, 'Customer_type')


with tgb.Page() as page:
tgb.text("# Sales Insights", mode="md")
with tgb.Page() as page:
tgb.text("# Sales Insights", mode="md")

with tgb.layout("1 1 1"):
with tgb.part():
tgb.text("## Total Sales", mode="md")
tgb.text("### {int(data['Total'].sum())}", mode="md")
with tgb.layout("1 1 1"):
with tgb.part():
tgb.text("## Total Sales", mode="md")
tgb.text("### {int(data['Total'].sum())}", mode="md")

with tgb.part():
tgb.text("## Average Sales", mode="md")
tgb.text("### {int(data['Total'].mean())}", mode="md")
with tgb.part():
tgb.text("## Average Sales", mode="md")
tgb.text("### {int(data['Total'].mean())}", mode="md")

with tgb.part():
tgb.text("## Mean Rating", mode="md")
tgb.text("### {int(data['Rating'].mean())}", mode="md")
with tgb.part():
tgb.text("## Mean Rating", mode="md")
tgb.text("### {int(data['Rating'].mean())}", mode="md")

with tgb.expandable(title="Data", expanded=False):
tgb.table("{data}")
with tgb.expandable(title="Data", expanded=False):
tgb.table("{data}")

tgb.chart(figure="{fig_map}")
tgb.chart(figure="{fig_map}")

with tgb.layout("1 1 1"):
tgb.chart(figure="{fig_product_line}")
tgb.chart(figure="{fig_city}")
tgb.chart(figure="{fig_customer_type}")

tgb.chart(figure="{fig_time}")
tgb.chart(figure="{fig_date}")
with tgb.layout("1 1 1"):
tgb.chart(figure="{fig_product_line}")
tgb.chart(figure="{fig_city}")
tgb.chart(figure="{fig_customer_type}")
tgb.chart(figure="{fig_time}")
tgb.chart(figure="{fig_date}")

tgb.text("## Analysis", mode="md")
tgb.text("## Analysis", mode="md")

tgb.selector(value="{city}", lov=["Bangkok", "Chiang Mai", "Vientiane", "Luang Prabang", "Yangon", "Naypyitaw"],
dropdown=True,
multiple=True,
label="Select cities",
class_name="fullwidth",
on_change=on_selector)
tgb.selector(value="{city}", lov=["Bangkok", "Chiang Mai", "Vientiane", "Luang Prabang", "Yangon", "Naypyitaw"],
dropdown=True,
multiple=True,
label="Select cities",
class_name="fullwidth",
on_change=on_selector)

with tgb.layout("1 1"):
tgb.chart(figure="{fig_product_line_perc}")
tgb.chart(figure="{fig_city_perc}")
tgb.chart(figure="{fig_gender_perc}")
tgb.chart(figure="{fig_customer_type_perc}")
with tgb.layout("1 1"):
tgb.chart(figure="{fig_product_line_perc}")
tgb.chart(figure="{fig_city_perc}")
tgb.chart(figure="{fig_gender_perc}")
tgb.chart(figure="{fig_customer_type_perc}")


if __name__ == "__main__":
gui = Gui(page)
gui.run(title="Sales", port=2452)