Question

我有一个如下所示的DataFrame：

new_dict = {'Area_sqfeet': '[1002, 322, 420-500,300,1.25acres,100-250,3.45 acres]'}

df = pd.DataFrame([new_dict])
df.head()

在此数据框中，我想删除连字符值并将英亩更改为sqfeet。我怎样才能有效地做到这一点？

Answer 1

使用列表理解：

mylist = ["1002", "322", "420-500","300","1.25acres","100-250","3.45 acres"]
# ['1002', '322', '420-500', '300', '1.25acres', '100-250', '3.45 acres']

第1步：删除连字符

filtered_list  = [i for i in mylist if "-" not in i] # remove hyphens

第2步：将英亩转换为sqfeet ：

final_list = [i if 'acres' not in i else eval(i.split('acres')[0])*43560 for i in filtered_list] # convert to sq foot

#['1002', '322', '300', 54450.0, 150282.0]

此外，如果您想在转换后的值旁边保留“ sqfeet”，请使用以下方法：

final_list = [i if 'acres' not in i else "{} sqfeet".format(eval(i.split('acres')[0])*43560) for i in filtered_list]

# ['1002', '322', '300', '54450.0 sqfeet', '150282.0 sqfeet']

Answer 2

目前尚不清楚这是否是家庭作业，您还没有向我们展示您https://stackoverflow.com/help/how-to-ask已经尝试过的内容

这可能会使您朝正确的方向前进：

import pandas as pd

col_name = 'Area_sqfeet'

# per comment on your question, you need to make a dataframe with more
# than one row, your original question only had one row
new_list = ["1002", "322", "420-500","300","1.25acres","100-250","3.45 acres"]

df = pd.DataFrame(new_list)
df.columns = ["Area_sqfeet"]

# once you have the df as strings, here's how to remove the ones with hyphens
df = df[df["Area_sqfeet"].str.contains("-")==False]
print(df.head())

如何删除熊猫数据框列中包含连字符的行？

2 个答案:

使用列表理解：