To set the range of the y-axis in a plot in Python, you can use the appropriate function provided by the plotting library you are using. Here, I'll provide examples using both matplotlib
and seaborn
, which are popular plotting libraries in Python.
Using Matplotlib: Matplotlib is a widely used plotting library in Python.
import matplotlib.pyplot as plt # Create some example data x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30] plt.plot(x, y) plt.ylim(0, 35) # Set the y-axis range from 0 to 35 plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Custom Y-axis Range') plt.show()
Using Seaborn: Seaborn is a higher-level interface to Matplotlib that simplifies many plotting tasks.
import seaborn as sns import matplotlib.pyplot as plt # Create some example data x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30] sns.lineplot(x=x, y=y) plt.ylim(0, 35) # Set the y-axis range from 0 to 35 plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Custom Y-axis Range with Seaborn') plt.show()
Both examples use the plt.ylim()
function to set the range of the y-axis. Replace the data and plotting functions with your own data and visualization methods.
"Set y-axis range in matplotlib Python"
Description: Learn how to customize the range of the y-axis in a matplotlib plot.
import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data plt.plot(x, y) # Set y-axis range plt.ylim(0, 60) # Show plot plt.show()
"Adjust y-axis limits in seaborn Python"
Description: Discover how to modify the y-axis limits in a seaborn plot.
import seaborn as sns # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data sns.lineplot(x, y) # Set y-axis range plt.ylim(0, 60) # Show plot plt.show()
"Python plot y-axis range control"
Description: Find out how to control the range of the y-axis in Python plots.
import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data plt.plot(x, y) # Set y-axis range plt.ylim(bottom=0, top=60) # Show plot plt.show()
"Change y-axis limits in Python plotly"
Description: Understand how to adjust the y-axis limits in a plotly plot.
import plotly.graph_objects as go # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Create figure fig = go.Figure() # Add trace fig.add_trace(go.Scatter(x=x, y=y)) # Set y-axis range fig.update_yaxes(range=[0, 60]) # Show plot fig.show()
"Adjust y-axis scale in Python matplotlib"
Description: Learn how to scale and set limits on the y-axis in a matplotlib plot.
import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data plt.plot(x, y) # Set y-axis scale and limits plt.yscale('linear') # or 'log', 'symlog', 'logit' plt.ylim(0, 60) # Show plot plt.show()
"Python seaborn adjust y-axis range"
Description: Discover how to customize the y-axis range in a seaborn plot.
import seaborn as sns # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data sns.lineplot(x, y) # Set y-axis range plt.ylim(0, 60) # Show plot plt.show()
"Set y-axis limits in Python pandas plot"
Description: Find out how to set limits on the y-axis in a pandas plot.
import pandas as pd # Sample data data = {'x': [1, 2, 3, 4, 5], 'y': [10, 20, 30, 40, 50]} df = pd.DataFrame(data) # Plot data df.plot(x='x', y='y') # Set y-axis range plt.ylim(0, 60) # Show plot plt.show()
"Python plot y-axis range control matplotlib"
Description: Learn how to control the range of the y-axis in matplotlib plots in Python.
import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data plt.plot(x, y) # Set y-axis range plt.ylim(bottom=0, top=60) # Show plot plt.show()
"Adjust y-axis limits in Python seaborn plot"
Description: Discover how to adjust the y-axis limits in seaborn plots in Python.
import seaborn as sns # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Plot data sns.lineplot(x, y) # Set y-axis range plt.ylim(0, 60) # Show plot plt.show()
"Change y-axis range in Python plotly plot"
Description: Understand how to change the range of the y-axis in plotly plots in Python.
import plotly.graph_objects as go # Sample data x = [1, 2, 3, 4, 5] y = [10, 20, 30, 40, 50] # Create figure fig = go.Figure() # Add trace fig.add_trace(go.Scatter(x=x, y=y)) # Set y-axis range fig.update_yaxes(range=[0, 60]) # Show plot fig.show()
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