How can I create interactive plots using Plotly Express?
You can create interactive plots using Plotly Express by importing the library and using functions like px.scatter()
or px.line()
. What type of plot are you interested in?
I'm interested in creating a scatter plot with some sample data.
Great! You can use the following code:
import plotly.express as px
import pandas as pd
data = pd.DataFrame({
'x': [1, 2, 3, 4, 5],
'y': [10, 11, 12, 13, 14]
})
fig = px.scatter(data, x='x', y='y', title='Sample Scatter Plot')
fig.show()
This will create a simple scatter plot.
Can I customize the markers in the scatter plot?
Yes, you can customize markers by adding parameters like size
, color
, and symbol
. For example:
fig = px.scatter(data, x='x', y='y', size='y', color='y', symbol='y', title='Customized Scatter Plot')
This will vary the size and color of the markers based on the 'y' values.
What if I want to add a trend line to my scatter plot?
You can add a trend line by using the trendline
parameter in the px.scatter()
function. For example:
fig = px.scatter(data, x='x', y='y', trendline='ols', title='Scatter Plot with Trend Line')
This will fit an ordinary least squares regression line to your data.
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