Example 1: 3D Scatter Plot (+5)
Example 1: 3D Scatter Plot
import plotly.express as px
import numpy as np
# Generate 3D data
n = 500
x = np.random.randn(n)
y = np.random.randn(n)
z = np.random.randn(n)
colors = np.random.rand(n)
*See sub-skills for full details.*
## Example 2: Statistical Box Plot with Violin
```python
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
df = pd.read_csv('../data/processed/measurements.csv')
# Create subplots
fig = make_subplots(
rows=1, cols=2,
*See sub-skills for full details.*
## Example 3: Animated Time Series
```python
import plotly.express as px
import pandas as pd
df = pd.read_csv('../data/processed/timeseries_multi.csv')
fig = px.line(
df,
x='date',
y='value',
*See sub-skills for full details.*
## Example 4: Interactive Heatmap with Annotations
```python
import plotly.graph_objects as go
import numpy as np
# Generate correlation matrix
data = np.random.rand(10, 10)
labels = [f'Var {i+1}' for i in range(10)]
fig = go.Figure(data=go.Heatmap(
z=data,
*See sub-skills for full details.*
## Example 5: Multi-Axis Chart
```python
import plotly.graph_objects as go
from plotly.subplots import make_subplots
fig = make_subplots(specs=[[{"secondary_y": True}]])
# Temperature (primary y-axis)
fig.add_trace(
go.Scatter(x=[1, 2, 3, 4, 5], y=[20, 22, 25, 23, 24],
name="Temperature (°C)", mode='lines+markers'),
*See sub-skills for full details.*
## Example 6: Large Dataset with WebGL
```python
import plotly.graph_objects as go
import numpy as np
# Generate large dataset (100,000 points)
n = 100000
x = np.random.randn(n)
y = np.random.randn(n)
# Use Scattergl for performance
*See sub-skills for full details.*
vamseeachanta