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[英]Add a new column to a Pandas dataframe with a value from a function
[英]unable to add a new column to a pandas dataframe from within a function
it_json 是包含列表的列,對於 dataframe 中的每一行,我想將列表添加到名為 full 的新列中
def list_columns(df):
df2=df.copy()
for index,row in df.iterrows():
# print(row)
l=[]
if row['it_json_1']:
l+=row['it_json_1']
if row['it_json_2']:
l+=row['it_json_2']
if row['it_json_3']:
l+=row['it_json_3']
if row['it_json_4']:
l+=row['it_json_4']
df2['full'][index]= l
return df2
嘗試將值保存到列表中,然后將它們分配給“完整”的新列
full.append(l)
然后在循環結束后:
df2['full'] = full
您正在將值分配給尚不存在的列,因此在添加值之前創建一個空列。
def list_columns(df):
df2=df.copy()
for index,row in df.iterrows():
# print(row)
l=[]
l['full'] = np.nan
if row['it_json_1']:
l+=row['it_json_1']
if row['it_json_2']:
l+=row['it_json_2']
if row['it_json_3']:
l+=row['it_json_3']
if row['it_json_4']:
l+=row['it_json_4']
df2['full'][index]= l
return df2
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