rename columns

Sure, I can help you with that. To rename columns in a pandas DataFrame, you can use the `rename` method. Here's an example:

import pandas as pd

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

# print the original DataFrame
print(df)

# rename the columns
df = df.rename(columns={'A': 'new_A', 'B': 'new_B'})

# print the DataFrame with renamed columns
print(df)

This will output:

   A  B
0  1  4
1  2  5
2  3  6

   new_A  new_B
0      1      4
1      2      5
2      3      6

In this example, we created a DataFrame with columns 'A' and 'B'. We then used the `rename` method to rename these columns to 'new_A' and 'new_B', respectively.

相关问题

python rename columns

To rename columns in Python, you can use the `rename` method of a pandas DataFrame. Here is an example code snippet:

import pandas as pd

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

# rename the columns
df = df.rename(columns={'A': 'new_A', 'B': 'new_B'})

# print the updated DataFrame
print(df)

In this example, we first create a sample DataFrame with columns 'A' and 'B'. We then use the `rename` method to rename the columns to 'new_A' and 'new_B'. Finally, we print the updated DataFrame using the `print` function.

df.rename(columns={})

这是一个 pandas 库中的 DataFrame 方法，用于重命名 DataFrame 的列名。其中，大括号中的内容将旧列名映射到新列名。例如，可以使用以下代码将列名“old_name”重命名为“new_name”：

df.rename(columns={"old_name": "new_name"})