'DataFrame' object has no attribute 'max_column'

根据引用[1]和引用的信息，'DataFrame' object没有'max_column'属性。因此，如果您尝试使用'max_column'属性，则会出现类似于“'DataFrame' object has no attribute 'max_column'”的错误消息。

如果您想要找到DataFrame中的最大值，可以使用pandas库中的'max()'函数。例如：

import pandas as pd

# 创建一个DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})

# 找到DataFrame中的最大值
max_value = df.max().max()

print("Max value in DataFrame: ", max_value)

这将输出DataFrame中的最大值。

相关问题

'DataFrame' object has no attribute 'max_row'

The 'DataFrame' object in pandas does not have an attribute called 'max_row'. However, you can achieve similar functionality by using the 'max' function in pandas to find the maximum value in a column or across rows. For example, you can use the 'max' function like this:

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

# Find the maximum value in column 'A'
max_value = df['A'].max()
print(max_value)

# Find the maximum value across rows
max_value_row = df.max(axis=1)
print(max_value_row)

In the above example, `max_value` will store the maximum value in column 'A', and `max_value_row` will store the maximum value across rows.

AttributeError: 'DataFrame' object has no attribute 'get_loc'

Apologies for the confusion caused. It seems like there was another typo in my previous response. Instead of using `get_loc()` method on the DataFrame, you can directly access the index of the column using the `index()` method of the columns.

Here's the corrected code:

import pandas as pd

# Create a sample DataFrame
df = pd.DataFrame([[8108.854, 8078.825, 7997.861, 7911.848, 7873.547, 7906.965,
                    7989.997, 8072.625, 8108.854, 8078.825, 7997.861, 7911.848,
                    7873.547, 7906.965, 7989.997, 8072.626, 8108.854, 7.]],
                  columns=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I',
                           'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R'])

# Find the column index with the maximum value
max_column_index = df.idxmax(axis=1)[0]

# Get the column position
column_position = df.columns.tolist().index(max_column_index)

print(f"The maximum value is in column {max_column_index}, at position {column_position}.")

This code should now run without any errors and print the desired output.

Once again, I apologize for any confusion caused by the previous response.