Make more than one chart in same IPython Notebook cell

Make more than one chart in same IPython Notebook cell

You can create multiple charts in the same IPython Notebook cell by using Matplotlib or other plotting libraries. To display multiple charts together in a single cell, you can use the plt.subplot() function to define multiple subplots within a single figure. Here's an example:

import matplotlib.pyplot as plt
import numpy as np

# Create some sample data
x = np.linspace(0, 2 * np.pi, 100)
y1 = np.sin(x)
y2 = np.cos(x)

# Create a figure with two subplots
plt.figure(figsize=(10, 4))  # Adjust the figure size as needed
plt.subplot(1, 2, 1)  # 1 row, 2 columns, plot 1
plt.plot(x, y1)
plt.title('Plot 1: Sine Function')

plt.subplot(1, 2, 2)  # 1 row, 2 columns, plot 2
plt.plot(x, y2)
plt.title('Plot 2: Cosine Function')

plt.tight_layout()  # Ensures that the subplots don't overlap
plt.show()

In this example:

  • We create two sets of data (y1 and y2) and a common x array for the x-axis values.
  • We create a figure with two subplots using plt.figure() and plt.subplot(). The arguments to plt.subplot() specify the number of rows, number of columns, and the plot number (1 or 2 in this case).
  • We plot y1 in the first subplot and y2 in the second subplot.
  • We set titles for each subplot.
  • plt.tight_layout() is used to ensure that the subplots are properly arranged within the figure.

Running this code in a single IPython Notebook cell will display two charts side by side in the same cell output.

You can adjust the number of rows and columns as needed to create a layout that suits your visualization needs.

Examples

  1. "Matplotlib multiple plots in one cell Jupyter" Description: Learn how to create multiple Matplotlib plots within the same IPython Notebook cell.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.figure(figsize=(10, 5))

plt.subplot(1, 2, 1)  # First subplot
plt.plot(x_data1, y_data1)
plt.title('Plot 1')

plt.subplot(1, 2, 2)  # Second subplot
plt.plot(x_data2, y_data2)
plt.title('Plot 2')

plt.show()

  2. "How to display multiple plots in one cell Jupyter" Description: Displaying multiple Matplotlib plots in a single IPython Notebook cell is straightforward with this code snippet.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
fig, axes = plt.subplots(nrows=2, ncols=1, figsize=(8, 6))

axes[0].plot(x_data1, y_data1)
axes[0].set_title('Plot 1')

axes[1].plot(x_data2, y_data2)
axes[1].set_title('Plot 2')

plt.tight_layout()
plt.show()

  3. "Multiple plots in one cell Jupyter Notebook" Description: This code demonstrates how to create and display multiple Matplotlib plots in a single IPython Notebook cell.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
fig, ax = plt.subplots(1, 2, figsize=(10, 5))

ax[0].plot(x_data1, y_data1)
ax[0].set_title('Plot 1')

ax[1].plot(x_data2, y_data2)
ax[1].set_title('Plot 2')

plt.show()

  4. "Plotting multiple graphs in one cell Jupyter" Description: Easily plot multiple Matplotlib graphs within the same IPython Notebook cell using this code.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.figure(figsize=(10, 5))

plt.plot(x_data1, y_data1, label='Plot 1')
plt.plot(x_data2, y_data2, label='Plot 2')

plt.legend()
plt.show()

  5. "How to show multiple plots in one cell in Jupyter" Description: This code snippet demonstrates how to display multiple Matplotlib plots in a single IPython Notebook cell.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.plot(x_data1, y_data1, label='Plot 1')
plt.plot(x_data2, y_data2, label='Plot 2')

plt.legend()
plt.show()

  6. "Display multiple charts in one cell Jupyter Notebook" Description: Displaying multiple Matplotlib charts in one IPython Notebook cell is easy with this code.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.plot(x_data1, y_data1, label='Plot 1')
plt.plot(x_data2, y_data2, label='Plot 2')

plt.legend()
plt.show()

  7. "Plot more than one graph in Jupyter Notebook cell" Description: Learn how to plot multiple Matplotlib graphs within a single IPython Notebook cell with this code.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
fig, ax = plt.subplots(figsize=(10, 5))

ax.plot(x_data1, y_data1, label='Plot 1')
ax.plot(x_data2, y_data2, label='Plot 2')

ax.legend()
plt.show()

  8. "Multiple plots in one cell Jupyter Notebook Python" Description: Easily create and display multiple Matplotlib plots in one IPython Notebook cell using this code.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.plot(x_data1, y_data1, label='Plot 1')
plt.plot(x_data2, y_data2, label='Plot 2')

plt.legend()
plt.show()

  9. "How to plot two graphs in one cell Jupyter Notebook" Description: Here's how to plot two Matplotlib graphs in a single IPython Notebook cell.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.plot(x_data1, y_data1, label='Plot 1')
plt.plot(x_data2, y_data2, label='Plot 2')

plt.legend()
plt.show()

  10. "Python Jupyter Notebook multiple plots in one cell" Description: Use this code to create and display multiple Matplotlib plots in the same IPython Notebook cell.

    import matplotlib.pyplot as plt

# Plotting multiple charts in the same cell
plt.plot(x_data1, y_data1, label='Plot 1')
plt.plot(x_data2, y_data2, label='Plot 2')

plt.legend()
plt.show()

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