我在linux命令提示符下安装了pip,并启动了ipython记事本:[sudo] password for felix: Downloading pandasql-0.6.2.tar.gz
Running setup.py (path:/tmp/pip_build_root/pandasql/setup.py) e
pandas和pandasql都是通过pip安装的,在python的系统/macos版本中都是可见的。: No module named pandas $/usr/local/Cellar/python/2.7.14/libexec/bin/pip install pandasqlRequirement already satisfied: pandasql in /Library/Python&
我有一台csv file that contains information about games played in the last 5 decades。我将在过去几年的每个赛季找到获胜的球队。所以我应该检查积分列,但是如果有两支球队有相同的最大积分,我应该检查goal_difference。 df3=pd.DataFrame(df_laliga.groupby('season')[['points']].max(axis=1).reset_index())
result=pd.merge(df3,df_laliga,how='inner'
在Python语言中,使用pandasql: query返回"Empty DataFrame“ import pandas as pdimport pandasqlcapital_gain','capital_loss','hours_per_week','native_country','salary'] from pandasql
我正在尝试用新的名称更新一个表。有一个带有old_field_names和new_field_names的转换表。本质上,如果我有两个数据,这就是我想对熊猫做的操作。必须满足两个条件(field_id,level_id)。合并似乎只适用于一个。 SET field_id = new_field_id, FROM migration.translation_old_new tbl2 AN