我有這樣的數(shù)據(jù)幀：df_meshX_min_select = pd.DataFrame({'Number of Elements'  : [5674, 8810,13366,19751,36491],'Time (a)'            : [42.14, 51.14, 55.64, 55.14, 56.64],'Different Result(Temperature)' : [0.083849, 0.057309, 0.055333, 0.060516, 0.035343]})我試圖在同一圖中組合條形圖（元素?cái)?shù)與不同結(jié)果）和線圖（元素?cái)?shù)與時(shí)間），但我發(fā)現(xiàn)了以下問題：在組合 2 個(gè)圖時(shí)，x_value似乎不匹配，但是如果您看到數(shù)據(jù)框，則 x 值完全相同。我的期望是將這兩個(gè)圖組合成1個(gè)數(shù)字： 這是我做的代碼：import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltimport matplotlib.ticker as tickerdf_meshX_min_select = pd.DataFrame({    'Number of Elements'  : [5674, 8810,13366,19751,36491],    'Time (a)'            : [42.14, 51.14, 55.64, 55.14, 56.64],    'Different Result(Temperature)' : [0.083849, 0.057309, 0.055333, 0.060516, 0.035343]})x1= df_meshX_min_select["Number of Elements"]t1= df_meshX_min_select["Time (a)"]T1= df_meshX_min_select["Different Result(Temperature)"]#Create combo chartfig, ax1 = plt.subplots(figsize=(10,6))color = 'tab:green'#bar plot creationax1.set_title('Mesh Analysis', fontsize=16)ax1.set_xlabel('Number of elements', fontsize=16)ax1.set_ylabel('Different Result(Temperature)', fontsize=16)ax1 = sns.barplot(x='Number of Elements', y='Different Result(Temperature)', data = df_meshX_min_select)ax1.tick_params(axis='y')#specify we want to share the same x-axisax2 = ax1.twinx()color = 'tab:red'#line plot creationax2.set_ylabel('Time (a)', fontsize=16)ax2 = sns.lineplot(x='Number of Elements', y='Time (a)', data = df_meshX_min_select, sort=False, color=color, ax=ax2)ax2.tick_params(axis='y', color=color)#show plotplt.show()任何人都可以幫我，請(qǐng)？