英文:
pandas .drop(columns=[]) is returning KeyError when columns are in the csv and dataframe
问题
我正在尝试从CSV导入市场数据以运行一些回测。
我写了以下代码：
import pandas as pdimport numpy as npdf = pd.read_csv("30mindata.csv")df = df.drop(columns=['Volume', 'NumberOfTrades', 'BidVolume', 'AskVolume'])print(df)
我遇到了以下错误：
KeyError: "['Volume', 'NumberOfTrades', 'BidVolume', 'AskVolume'] not found in axis"
当我移除包含 drop() 的那行代码时，DataFrame 打印如下：
Date Time Open High Low Last Volume NumberOfTrades BidVolume AskVolume0 2018/2/18 14:00:00 2734.50 2741.00 2734.00 2739.75 5304 2787 2299 30051 2018/2/18 14:30:00 2739.75 2741.00 2739.25 2740.25 1402 815 648 7542 2018/2/18 15:00:00 2740.25 2743.50 2739.25 2742.00 4536 2301 2074 24623 2018/2/18 15:30:00 2742.25 2744.75 2742.25 2744.00 4102 1826 1949 21534 2018/2/18 16:00:00 2744.00 2744.25 2742.25 2742.25 2492 1113 1551 941... ... ... ... ... ... ... ... ... ... ...59074 2023/2/17 10:30:00 4076.25 4088.00 4076.00 4086.50 92507 54379 44917 4759059075 2023/2/17 11:00:00 4086.50 4090.50 4079.25 4081.00 107233 67968 55784 5144959076 2023/2/17 11:30:00 4081.00 4090.50 4079.50 4088.25 171507 92705 86022 8548559077 2023/2/17 12:00:00 4088.00 4089.00 4085.25 4086.00 41032 17210 21176 1985659078 2023/2/17 12:30:00 4086.25 4088.00 4085.25 4085.75 5164 2922 2818 2346
我有另一个文件使用了这种 pd.read_csv() 和然后 df.drop(columns=[]) 的形式，工作得很好。我尝试了 df.loc[:, 'Volume']，但得到了相同的 KeyError，显示 Volume 未在轴上找到。我真的不明白为什么标签在数据框中没有，而不使用 .drop() 函数时可以正确输出。
英文:
I'm trying to import market data from a csv to run some backtests.
![.drop(columns=[]) 在 CSV 和数据框中存在列时返回 KeyError。](https://i.stack.imgur.com/xLPA1.png)
I wrote the following code:
import pandas as pdimport numpy as npdf = pd.read_csv("30mindata.csv")df = df.drop(columns=['Volume', 'NumberOfTrades', 'BidVolume', 'AskVolume'])print(df)
I'm getting the error:
> KeyError: "['Volume', 'NumberOfTrades', 'BidVolume', 'AskVolume'] not found in axis"
When I remove the line of code containing drop() the dataframe prints as follows:
Date Time Open High Low Last Volume NumberOfTrades BidVolume AskVolume0 2018/2/18 14:00:00 2734.50 2741.00 2734.00 2739.75 5304 2787 2299 30051 2018/2/18 14:30:00 2739.75 2741.00 2739.25 2740.25 1402 815 648 7542 2018/2/18 15:00:00 2740.25 2743.50 2739.25 2742.00 4536 2301 2074 24623 2018/2/18 15:30:00 2742.25 2744.75 2742.25 2744.00 4102 1826 1949 21534 2018/2/18 16:00:00 2744.00 2744.25 2742.25 2742.25 2492 1113 1551 941... ... ... ... ... ... ... ... ... ... ...59074 2023/2/17 10:30:00 4076.25 4088.00 4076.00 4086.50 92507 54379 44917 4759059075 2023/2/17 11:00:00 4086.50 4090.50 4079.25 4081.00 107233 67968 55784 5144959076 2023/2/17 11:30:00 4081.00 4090.50 4079.50 4088.25 171507 92705 86022 8548559077 2023/2/17 12:00:00 4088.00 4089.00 4085.25 4086.00 41032 17210 21176 1985659078 2023/2/17 12:30:00 4086.25 4088.00 4085.25 4085.75 5164 2922 2818 2346
I have another file that uses this exact form of pd.read_csv() and then df.drop(columns=[]) which works just fine. I tried df.loc[:, 'Volume'] and got the same KeyError saying 'Volume' was not found in the axis. I really don't understand how the labels aren't in the dataframe when they get output correctly without the .drop() function
答案1
得分: 1
很可能是您的列名称中存在空格。
尝试通过执行以下操作删除这些空格...
import pandas as pddf = pd.read_csv("30mindata.csv")df.columns = [col.strip() for col in df.columns]
然后尝试像以前一样删除列。
英文:
It's very likely that you have blank spaces in the name of your columns.
Try removing those spaces doing this...
import pandas as pddf = pd.read_csv("30mindata.csv")df.columns = [col.strip() for col in df.columns]
Then try to drop the columns as before
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