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| import solara | |
| import plotly.express as px | |
| import plotly.graph_objects as go | |
| from utils import selected_template | |
| def PieChart(): | |
| with solara.Column(gap="20px", align = "stretch") as main: | |
| solara.Markdown(f"#PIE CHARTS") | |
| # Use included Iris data set | |
| df_samer = px.data.gapminder().query("year == 2007").query("continent == 'Asia'") | |
| fig1= px.pie(df_samer, values='pop', names='country', height= 700, | |
| title='Population of Asian continent',template= selected_template.value, | |
| color_discrete_sequence=px.colors.sequential.RdBu) | |
| solara.Markdown(f"#### Create Pie chart of the largest nations in Asia ") | |
| solara.Markdown("[Color maps here](https://plotly.com/python/builtin-colorscales)") | |
| solara.Markdown(""" | |
| ```python | |
| # Use included Iris data set | |
| df_samer = px.data.gapminder().query("year == 2007").query("continent == 'Asia'") | |
| fig1= px.pie(df_samer, values='pop', names='country', | |
| title='Population of Asian continent', | |
| color_discrete_sequence=px.colors.sequential.RdBu) | |
| ``` | |
| """ | |
| ) | |
| solara.FigurePlotly(fig1) | |
| # Customize pie chart | |
| colors = ['blue', 'green', 'black', 'purple', 'red', 'brown'] | |
| fig2 = go.Figure(data=[go.Pie(labels=['Water','Grass','Normal','Psychic', 'Fire', 'Ground'], | |
| values=[110,90,80,80,70,60])]) | |
| # Define hover info, text size, pull amount for each pie slice, and stroke | |
| fig2.update_traces(hoverinfo='label+percent', textfont_size=15, | |
| textinfo='label+percent', pull=[0.1, 0, 0.2, 0, 0, 0], | |
| marker=dict(colors=colors, line=dict(color='yellow', width=2))) | |
| fig2.update_layout(template= selected_template.value) | |
| solara.Markdown(f"#### Customize pie chart") | |
| solara.Markdown(""" | |
| ```python | |
| # Customize pie chart | |
| colors = ['blue', 'green', 'black', 'purple', 'red', 'brown'] | |
| fig2 = go.Figure(data=[go.Pie(labels=['Water','Grass','Normal','Psychic', 'Fire', 'Ground'], | |
| values=[110,90,80,80,70,60])]) | |
| # Define hover info, text size, pull amount for each pie slice, and stroke | |
| fig2.update_traces(hoverinfo='label+percent', textfont_size=15, | |
| textinfo='label+percent', pull=[0.1, 0, 0.2, 0, 0, 0], | |
| marker=dict(colors=colors, line=dict(color='yellow', width=2))) | |
| ``` | |
| """ | |
| ) | |
| solara.FigurePlotly(fig2) | |
| return main | |