MatplotLib线条后的条形图

svgewumm 于 2023-10-24 发布在其他

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我有下面详细介绍的函数。它可以很好地为我的比较生成条形图和折线图，但是线条在条形图后面。我做错了什么？lineInput，barInput和xlabel变量是pd.DataFrame行，其他的是str或bool s。

import matplotlib.pyplot as plt
import pandas as pd
def plotLineBarResults(xAxis, lineInput, barInput, lineLabel, barLabel, xlabel, ylabel1,ylabel2, yformat, title,legend = True, grid=True):
    fig, ax =plt.subplots()
    ax2 = ax.twinx()
 
    
    ax.set_xticklabels(xAxis,rotation=45, ha="right")
    line1 = ax.plot(xAxis,lineInput, label = lineLabel, color = 'red')
    line2 = ax2.bar(xAxis, barInput, label = barLabel)
    ax.set_title(title)
    if legend:
        lines = line1+[line2]
        labs = [l.get_label() for l in lines]
        ax.legend(lines, labs,frameon = False, facecolor = 'white')
   
    if grid:
        ax.xaxis.grid(True,linestyle = '--')
        ax.yaxis.grid(True)
    ax.set_xlabel(xlabel)
    ax.set_ylabel(ylabel1)
    ax2.set_ylabel(ylabel2)
    ax.spines['right'].set_visible(False)
    ax.spines['left'].set_visible(False)
    ax.yaxis.set_major_formatter(FormatStrFormatter(yformat))
   
    fig.show()

matplotlib

来源：https://stackoverflow.com/questions/77078394/matplotlib-line-behind-bar-plot

1条答案

按热度按时间

vmjh9lq91#

您可以单独绘制折线图，然后使用zorder将其覆盖在条形图的顶部。以下是如何做到这一点：

import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
def plotLineBarResults(xAxis, lineInput, barInput, lineLabel, barLabel, xlabel, ylabel1, ylabel2, yformat, title,
                       legend=True, grid=True):
    fig, ax1 = plt.subplots()
    ax1.set_xlabel(xlabel)
    ax1.set_ylabel(ylabel1, color='red')
    ax1.bar(xAxis, barInput, label=barLabel, color='blue', alpha=0.7)
    ax2 = ax1.twinx()
    ax2.plot(xAxis, lineInput, label=lineLabel, color='red', marker='o', linestyle='-', linewidth=2, markersize=6,
             zorder=2)
    ax2.set_ylabel(ylabel2, color='red')
    ax1.set_xticks(range(len(xAxis)))
    ax1.set_xticklabels(xAxis, rotation=45, ha="right")
    ax1.spines['right'].set_visible(False)
    ax1.spines['left'].set_visible(False)
    ax2.spines['right'].set_visible(False)
    ax2.spines['left'].set_visible(False)
    ax1.yaxis.set_major_formatter(FormatStrFormatter(yformat))
    if legend:
        lines, labels = ax1.get_legend_handles_labels()
        lines2, labels2 = ax2.get_legend_handles_labels()
        ax2.legend(lines + lines2, labels + labels2, loc='upper left', frameon=False, facecolor='white')
    if grid:
        ax1.xaxis.grid(True, linestyle='--')
        ax1.yaxis.grid(True)
    ax1.set_title(title)
    plt.tight_layout()
    plt.show()

以下是示例/用例：

xAxis = ['A', 'B', 'C', 'D', 'E']
lineInput = [10, 15, 20, 25, 30]
barInput = [5, 12, 8, 18, 10]
lineLabel = 'Line Data'
barLabel = 'Bar Data'
xlabel = 'Categories'
ylabel1 = 'Line Y-Axis'
ylabel2 = 'Bar Y-Axis'
yformat = '%.0f'
title = 'Line and Bar Plot Example'
plotLineBarResults(xAxis, lineInput, barInput, lineLabel, barLabel, xlabel, ylabel1, ylabel2, yformat, title)

这是输出：x1c 0d1x

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MatplotLib线条后的条形图

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