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我正在努力做到以下几点：

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np 

# Assuming you have already created dfTienen_selected
# Subset your DataFrame with the columns of interest
df_subset = dfTienen_final[['avg_value', 'value_diff', 'percentage', 'rain_1h', 'Rain_cumulative_2h', 'Rain_cumulative_3h', 'Rain_cumulative_4h', 'Rain_cumulative_5h', 'Rain_cumulative_6h', 'dry_hours_within_group']]

# Assuming you have already created dfTienen_selected
# Calculate the correlation matrix for all numeric columns
correlation_matrix = df_subset.corr()

# Create a heatmap of the correlation matrix focusing on 'avg_value' correlations
plt.figure(figsize=(12, 8))
sns.heatmap(correlation_matrix[['avg_value']], annot=True, cmap='coolwarm', linewidths=0.5)
plt.title('Correlation Heatmap with avg_value')
plt.show()

然而，我得到这个错误：

DataFrame.corr() missing 2 required positional arguments: 'col1' and 'col2'

然而，当我查看pandas官方文档时，没有提到这个位置参数：
https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.corr.html
我错过了什么？
我用的是Pandas2.0.3