从 2 列更改为 4 列

Question

我有一个函数可以在两列中并排绘制箱线图和直方图。我想更改我的代码以使其成为 4 列以缩短输出。我玩过代码，但遗漏了一些东西。我可以将它更改为 4 列，但是右边的 2 列是空白的，所有内容都在左边的两列中。

我尝试将行更改为

ax_box, ax_hist, ax_box2, ax_hist2 = axs[i*ncols], axs[i*ncols+1], axs[i*ncols+2], axs[i*ncols+3]

代替

ax_box, ax_hist = axs[i*ncols], axs[i*ncols+1]

在更改列索引的其他迭代中。 我是 python 的新手，我知道我遗漏了一些对更有经验的人来说显而易见的东西。

我的代码是：

`def hist_box_all1(data, bins):
    ncols = 2 # Number of columns for subplots
    nrows = len(data.columns)  # Number of rows for subplots
    height_ratios = [0.75, 0.75] * (nrows // 2) + [0.75] * (nrows % 2)
    fig, axs = plt.subplots(nrows=nrows, ncols=ncols, figsize=(15,4*nrows), gridspec_kw={'height_ratios': height_ratios})
    axs = axs.ravel()  # Flatten the array of axes

    for i, feature in enumerate(data.columns):
        ax_box, ax_hist = axs[i*ncols], axs[i*ncols+1]
        sns.set(font_scale=1)  # Set the size of the label
        x = data[feature]
        n = data[feature].mean()  # Get the mean for the legend
        m=data[feature].median()
        sns.boxplot(
            x=x,
            ax=ax_box,
            showmeans=True,
            meanprops={
            "marker": "o",
            "markerfacecolor": "white",
            "markeredgecolor": "black",
            "markersize": "7",
            },
            color="teal",
        )
        sns.histplot(
            x=x,
            bins=bins,
            kde=True,
            stat="density",
            ax=ax_hist,
            color="darkorchid",
            edgecolor="black",
        )

        ax_hist.axvline(
            data[feature].mean(), color="teal", label="mean=%f" % n
        )  # Draw the mean line
        ax_hist.axvline(
            data[feature].median(), color="red", label="median=%f" % m
        ) #Draw the median line
        ax_box.set(yticks=[])  # Format the y axis label
        #sns.despine(ax=ax_hist)  # Remove the axis lines on the hist plot
        #sns.despine(ax=ax_box, left=True)  # Remove the axis lines on the box plot
        ax_hist.legend(loc="upper right")  # Place the legend in the upper right corner
        plt.suptitle(feature)
        plt.tight_layout()`

Here is a screen shot of the output

Here is a screen shot of the data

Answer 1

我发现这种使用matplotlib.pyplot和add_subplot()的方式添加起来更方便情节中的多个子情节.

    import matplotlib.pyplot as plt

    fig = plt.figure(figsize=[22, 6])
    ax = fig.add_subplot(1, 2, 1)  # (1,2) means 1 row 2 columns, '1' at the final index indicates the order of this subplot i.e., first subplot on left side 
    ax.hist(somedata_for_left_side)
    ax.set_title('Title 01')

    ax = fig.add_subplot(1, 2, 2)  # '2' at the final index indicates the order of this subplot i.e., second subplot on the right side 
    ax.hist(somedata_for_right_side)
    ax.set_title('Title 02')

示例输出图（不同的标题和图类型）：

您可以尝试使它适应您的代码。让我知道这是否有帮助。

因为很难从视觉上看出你的错误是什么。您可以添加一些屏幕截图以便于理解吗？