- ✕この概要は、複数のオンライン ソースに基づいて AI を使用して生成されました。元のソース情報を表示するには、[詳細情報] リンクを使用します。
When visualizing multiple datasets, Matplotlib's subplots() function is the most efficient way to create organized layouts for comparison. You can arrange plots in grids, share axes, and customize each subplot individually.
Using plt.subplots() for Multiple Datasets
Step 1: Import Libraries and Prepare Data
import matplotlib.pyplot as pltimport numpy as np# Example datasetsx = np.linspace(0, 10, 100)y1 = np.sin(x)y2 = np.cos(x)y3 = np.sin(x) * np.cos(x)y4 = np.exp(-x/3) * np.sin(2*x)コピーしました。✕コピーStep 2: Create a Grid of Subplots
fig, axs = plt.subplots(2, 2, figsize=(10, 8))fig.suptitle('Multiple Datasets in Subplots')# Plot each dataset in its own subplotaxs[0, 0].plot(x, y1, color='b', label='sin(x)')axs[0, 0].set_title('Plot 1')axs[0, 0].legend()axs[0, 1].plot(x, y2, color='r', linestyle='--', label='cos(x)')axs[0, 1].set_title('Plot 2')axs[0, 1].legend()axs[1, 0].scatter(x, y3, color='g', label='sin(x)*cos(x)')axs[1, 0].set_title('Plot 3')axs[1, 0].legend()axs[1, 1].bar(x[:10], y4[:10], color='m', label='exp(-x/3)*sin(2x)')axs[1, 1].set_title('Plot 4')axs[1, 1].legend()plt.tight_layout()plt.show()コピーしました。✕コピー Multiple datasets on the same scatter plot - Stack …
Although accepted answer works good but with matplotlib version 2.1.0, it is …
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コード サンプル
fig = plt.figure()ax1 = fig.add_subplot(111)ax1.scatter(x[:4], y[:4], s=10, c='b', marker="s", label='first')ax1.scatter(x[40:],y[40:], s=10, c='r', marker="o", label='second')plt.legend(loc='upper left');...The histogram (hist) function with multiple data sets
References The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.hist / matplotlib.pyplot.hist
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Python における複数のデータセットのプロット | LabEx
まとめ この実験では、Matplotlib の plot 関数を 1 回呼び出して複数のデータセットをプロットする方法を学びました。 また、グラフにラベルとタイトルを追加して、情報を豊かにする方法も学びました。
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Multiple datasets on the same scatter plot in Matplotlib
You can plot multiple datasets on the same scatter plot in Python using libraries like Matplotlib. To do this, you can create separate scatter plots for each dataset and then combine them in the same plot.
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2024年11月23日 · Have you ever wanted to display multiple datasets within a single scatter plot but found it challenging to generate an accurate …
Visualizing Multiple Datasets on a Scatter Plot in Python …
2024年10月2日 · In this article, we have learned how to visualize multiple datasets on a scatter plot using Matplotlib in Python 3. By plotting multiple datasets on …