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import solara
import plotly.express as px
import plotly.graph_objects as go
from utils import selected_template
@solara.component
def LinePlot():
with solara.Column(gap="20px", align = "stretch") as main:
solara.Markdown(f"#LINE PLOTS")
df_stocks = px.data.stocks()
fig1 = px.line(df_stocks, x='date', y='GOOG', labels={'x':'Date', 'y':'Price'},
template=selected_template.value
)
solara.Markdown(f"###Use included Google price data to make one plot")
solara.Markdown("""
```python
fig1 = px.line(df_stocks, x='date', y='GOOG', labels={'x':'Date', 'y':'Price'},
template=selection_data.value)
```
"""
)
solara.FigurePlotly(fig1)
all_stocks =df_stocks.columns.values.tolist()
del all_stocks[0]
stocks,set_stocks = solara.use_state ([all_stocks[0],all_stocks[1]])
fig2 = px.line(df_stocks, x='date', y=stocks, labels={'x':'Date', 'y':'Price'},
title=" VS ".join(stocks),
template=selected_template.value)
with solara.Card():
solara.Markdown(f"###Make multiple line plots")
solara.Markdown("""
```python
fig2 = px.line(df_stocks, x='date', y=['GOOG','AAPL'], labels={'x':'Date', 'y':'Price'},
title='Apple Vs. Google',template=selection_data.value)
```
"""
)
solara.FigurePlotly(fig2)
solara.SelectMultiple("Stocks", values= stocks, all_values= all_stocks, on_value =set_stocks)
# Create a figure to which I'll add plots
fig3 = go.Figure()
# You can pull individual columns of data from the dataset and use markers or not
fig3.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AAPL,
mode='lines', name='Apple'))
fig3.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AMZN,
mode='lines+markers', name='Amazon'))
# You can create custom lines (Dashes : dash, dot, dashdot)
fig3.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.GOOG,
mode='lines+markers', name='Google',
line=dict(color='firebrick', width=2, dash='dashdot')))
fig3.update_layout(template= selected_template.value)
solara.Markdown(f"###Create a figure to which I'll add plots")
solara.Markdown("""
```python
fig3 = go.Figure()
# You can pull individual columns of data from the dataset and use markers or not
fig3.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AAPL,
mode='lines', name='Apple'))
fig3.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AMZN,
mode='lines+markers', name='Amazon'))
# You can create custom lines (Dashes : dash, dot, dashdot)
fig3.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.GOOG,
mode='lines+markers', name='Google',
line=dict(color='firebrick', width=2, dash='dashdot')))
```
"""
)
solara.FigurePlotly(fig3)
solara.Markdown(f"###Go crazy styling the figure")
fig4 = go.Figure()
# You can pull individual columns of data from the dataset and use markers or not
fig4.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AAPL,
mode='lines', name='Apple'))
fig4.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AMZN,
mode='lines+markers', name='Amazon'))
# You can create custom lines (Dashes : dash, dot, dashdot)
fig4.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.GOOG,
mode='lines+markers', name='Google',
line=dict(color='firebrick', width=2, dash='dashdot')))
fig4.update_layout(template= selected_template.value)
fig4.update_layout(
# Shows gray line without grid, styling fonts, linewidths and more
xaxis=dict(
showline=True,
showgrid=False,
showticklabels=True,
linecolor='rgb(204, 204, 204)',
linewidth=2,
ticks='outside',
tickfont=dict(
family='Arial',
size=12,
color='rgb(82, 82, 82)',
),
),
# Turn off everything on y axis
yaxis=dict(
showgrid=False,
zeroline=False,
showline=False,
showticklabels=False,
),
# autosize=False,
margin=dict(
autoexpand=False,
l=100,
r=20,
t=110,
),
showlegend=False,
plot_bgcolor='white'
)
solara.Markdown("""
```python
fig4 = go.Figure()
# You can pull individual columns of data from the dataset and use markers or not
fig4.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AAPL,
mode='lines', name='Apple'))
fig4.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.AMZN,
mode='lines+markers', name='Amazon'))
# You can create custom lines (Dashes : dash, dot, dashdot)
fig4.add_trace(go.Scatter(x=df_stocks.date, y=df_stocks.GOOG,
mode='lines+markers', name='Google',
line=dict(color='firebrick', width=2, dash='dashdot')))
fig4.update_layout(template= selection_data.value)
fig4.update_layout(
# Shows gray line without grid, styling fonts, linewidths and more
xaxis=dict(
showline=True,
showgrid=False,
showticklabels=True,
linecolor='rgb(204, 204, 204)',
linewidth=2,
ticks='outside',
tickfont=dict(
family='Arial',
size=12,
color='rgb(82, 82, 82)',
),
),
# Turn off everything on y axis
yaxis=dict(
showgrid=False,
zeroline=False,
showline=False,
showticklabels=False,
),
# autosize=False,
margin=dict(
autoexpand=False,
l=100,
r=20,
t=110,
),
showlegend=False,
plot_bgcolor='white'
)
```
"""
)
solara.FigurePlotly(fig4)
return main |