especially if you are using a dataframe with multiple column or row names. At some point you will need to rename a column in r without having to create a new column. Fortunately, there are multiple ways to get this done.
# OR 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 ...
The resulting DataFrame will have all the valid business days as the index and columns for the market opening datetime (market_open) and closing datetime (market_close). All time zones are set to UTC. To convert to the local exchange time use pandas tz_convert and the self.tz to get ...