new_df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}, inplace=True) # inplace = True 目的是修改原有Dataframe,不生成新的 DataFrame 参考http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename.html # rename 可以修改 Series 的index值 >>> ...
Deleting DataFrame row in Pandas based on column, df = df [df.line_race != 0] drops the rows but also does not reset the index. So when you add another row in the df it may not add at the end. I'd recommend resetting the index after that operation ( df = df.reset_index (dro...
Python - 重命名Pandas DataFrame的列 要重新命名DataFrame的列,请使用 rename() 方法。将要重命名的列名设置到rename()方法的“columns”参数中。例如,将“ Car ”列更改为“ Car Name ” - dataFrame.rename(columns={'Car': 'Car Name'}, inplace=False) 首先,读
# This only works in Cygwin on Windows py3 -m pytest --color=yes --cov=pandas_exchange_calendars --cov-report html cygstart $TEMP/pec_coverage_report/index.html py3 -m pytest --color=yes --cov=pandas_market_calendars --cov-report html cygstart $TEMP/mcal_coverage_report/index.html ...
pythonpandasreplacedataframerename 答案 使用df.rename()函数并引用要重命名的列。并非所有列都必须重命名: df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'}) # Or rename the existing DataFrame (rather than creating a copy) df.rename(columns={'oldName1': 'newName1...