如何使用pandas转换df

import pandas as pd

df = pd.DataFrame(data)

print(df.head())  # 查看前几行数据
print(df.info())  # 查看DataFrame的信息，包括列名、数据类型等

df['column_name'] = df['column_name'].astype(new_type)

df.rename(columns={'old_name': 'new_name'}, inplace=True)

df.drop(columns=['column_name'], inplace=True)

df['new_column'] = values

df_filtered = df[df['column_name'] > threshold]

df_sorted = df.sort_values(by='column_name', ascending=False)

df_grouped = df.groupby('column_name').agg({'column_name2': 'sum'})

df_pivot = df.pivot_table(index='column_name1', columns='column_name2', values='column_name3', aggfunc='mean')

df_merged = pd.merge(df1, df2, on='column_name', how='inner')

df_deduplicated = df.drop_duplicates(subset='column_name')

df.dropna()  # 删除包含缺失值的行
df.fillna(value)  # 用指定值填充缺失值

df_transposed = df.T