Answers for "plotly scatter plots"

1

plot two axes plotly

import plotly.graph_objects as go
from plotly.subplots import make_subplots

# Create figure with secondary y-axis
fig = make_subplots(specs=[[{"secondary_y": True}]])

# Add traces
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[40, 50, 60], name="yaxis data"),
    secondary_y=False,
)

fig.add_trace(
    go.Scatter(x=[2, 3, 4], y=[4, 5, 6], name="yaxis2 data"),
    secondary_y=True,
)

# Add figure title
fig.update_layout(
    title_text="Double Y Axis Example"
)

# Set x-axis title
fig.update_xaxes(title_text="xaxis title")

# Set y-axes titles
fig.update_yaxes(title_text="<b>primary</b> yaxis title", secondary_y=False)
fig.update_yaxes(title_text="<b>secondary</b> yaxis title", secondary_y=True, showgrid= False)

fig.show()
Posted by: Guest on March-29-2021
3

scatter plot plotly

import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
                 size='petal_length', hover_data=['petal_width'])
fig.show()
Posted by: Guest on May-11-2020
3

go.scatter

import plotly.graph_objects as go

fig = go.Figure()

# Add traces
fig.add_trace(go.Scatter(x=df['col_x'], y=df['col_y'],
                    mode='markers',
                    name='markers'))
fig.add_trace(go.Scatter(x=df2['col_x'], y=df2['col_y'],
                    mode='lines+markers',
                    name='lines+markers'))

fig.show()
Posted by: Guest on April-28-2020
1

how to do scatter plot in pyplot

import numpy as npimport matplotlib.pyplot as plt
# Create data
N = 500x = np.random.rand(N)
y = np.random.rand(N)
colors = (0,0,0)
area = np.pi*3
# Plot
plt.scatter(x, y, s=area, c=colors, alpha=0.5)
plt.title('Scatter plot pythonspot.com')
plt.xlabel('x')
plt.ylabel('y')
plt.show()
Posted by: Guest on August-29-2020

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