我有如圖所示的數據幀「keep_df」:錯誤劃分列並添加結果到一個新的列
DateTime Modeled Flow(cfs) Observed Flow(cfs) Seconds
Event
Event 1 2016-08-15 15:35:00 11.85926 0.0 300.00
Event 1 2016-08-15 10:05:00 30.05923 0.0 300.00
Event 1 2016-08-15 10:00:00 31.10118 0.0 300.00
Event 1 2016-08-15 09:55:00 32.17444 0.0 300.00
Event 1 2016-08-15 09:50:00 33.25405 0.0 300.00
我想創造,通過分割模型化的流動(CFS)有了新的列還觀察到流(CFS)與秒列如下所示:
keep_df['Modelled Volume(f3)'] = keep_df['Modeled Flow(cfs)']/keep_df['Seconds']
keep_df['Observed Volume(f3)'] = keep_df['Observed Flow(cfs)']/keep_df['Seconds']
keep_df()
但運行我得到這樣的錯誤在上述後:
Type error: 'Dataframe' object is not callable
由於「秒」欄目爲默認值我想這:
keep_df['Modelled Volume(f3)'] = 'Modeled Flow (cfs)'/300.00
keep_df['Observed Volume(f3)'] = 'Observed Flow (cfs)'/300.00
keep_df()
而我依然收到此錯誤:
TypeError Traceback (most recent call last)
<ipython-input-91-b268c3093f01> in <module>()
----> 1 keep_df['Modelled Volume(f3)'] = 'Modeled Flow (cfs)'/300.00
2 keep_df['Observed Volume(f3)'] = 'Observed Flow (cfs)'/300.00
3 keep_df()
TypeError: unsupported operand type(s) for /: 'str' and 'float'
我應該怎麼可能呢?
你叫'keep_df()'你想在代碼 – EdChum
你的第一位剛剛'keep_df'因爲我在數據框用於運行代碼之後,使用ipython notebook,'()'。 – nish
那麼你發佈了一個不完整的問題,你發佈了一個圖像,沒有原始數據和其他人可以運行的完整代碼來重現你的錯誤,因此這使得其他人很難幫助你,而你浪費我們的時間 – EdChum