有人可以指导我如何通过查看以下代码在 Pandas 的现有数据框中添加带有自定义数据的新列
行 = [] 排序 = '' 对于结果中的 v:
row = {'date':v['TimePeriod']['Start']}
sort = v['TimePeriod']['Start']
for i in v['Groups']:
key = i['Keys'][0]
if key in self.accounts:
key = self.accounts[key][ACCOUNT_Name]
row.update({key:int(float(i['Metrics']['UnblendedCost']['Amount']))})
if not v['Groups']:
row.update({'Total':int(float(v['Total']['UnblendedCost']['Amount']))})
rows.append(row)
df = pd.DataFrame(rows)
df.set_index('date', inplace= True)
df = df.fillna(0.0)
if Style == 'Change':
dfc = df.copy()
lastindex = None
for index, row in df.iterrows():
if lastindex:
for i in row.index:
try:
df.at[index,i] = dfc.at[index,i] - dfc.at[lastindex,i]
except:
logging.exception("Error")
df.at[index,i] = 0
lastindex = index
df = df.T
df = df.sort_values(sort, ascending=False)
self.reports.append({'Name':Name,'Data':df, 'Type':type})
答案 0 :(得分:1)
您可以添加一个形状相同的列表,例如:
d = {'col1': [1,2], 'col2': [3, 5,]}
value_add=[1,2]
df2= pd.DataFrame(data=d)
df2['col3']=value_add