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Interactive Line Charts

Basic interactive line

Interactive line
import pandas as pd
import plotly.express as px
 
df = pd.DataFrame({
    "date": pd.date_range("2025-01-01", periods=7, freq="D"),
    "orders": [120, 140, 130, 160, 155, 170, 180],
})
 
fig = px.line(df, x="date", y="orders", markers=True, title="Daily orders")
fig.show()
Interactive line
import pandas as pd
import plotly.express as px
 
df = pd.DataFrame({
    "date": pd.date_range("2025-01-01", periods=7, freq="D"),
    "orders": [120, 140, 130, 160, 155, 170, 180],
})
 
fig = px.line(df, x="date", y="orders", markers=True, title="Daily orders")
fig.show()

Multiple lines (color)

Multiple lines
import pandas as pd
import plotly.express as px
 
df = pd.DataFrame({
    "date": list(pd.date_range("2025-01-01", periods=5, freq="D")) * 2,
    "orders": [120, 140, 130, 160, 155, 100, 110, 120, 125, 140],
    "product": ["A"] * 5 + ["B"] * 5,
})
 
fig = px.line(df, x="date", y="orders", color="product", markers=True, title="Orders by product")
fig.show()
Multiple lines
import pandas as pd
import plotly.express as px
 
df = pd.DataFrame({
    "date": list(pd.date_range("2025-01-01", periods=5, freq="D")) * 2,
    "orders": [120, 140, 130, 160, 155, 100, 110, 120, 125, 140],
    "product": ["A"] * 5 + ["B"] * 5,
})
 
fig = px.line(df, x="date", y="orders", color="product", markers=True, title="Orders by product")
fig.show()

Tips

  • Use hover_data=[...]hover_data=[...] to show extra fields.
  • Use fig.update_layout(...)fig.update_layout(...) for labels and margins.

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