[英]iterate over data frame rows in pandas
Iterate over the rows in pandas and get the list of objects from rows 遍历熊猫中的行并从行中获取对象列表
import pandas as pd;
df=pd.read_json("inputfile.txt")
data
0 {'M': {'1': 'data', '2': 'data2'}}
1 {'M': {'3': '555', '5': '3333'}}
data=[]
for row in df.iterrows():
d = [{k1+k2:v2 for k1,v1 in x.items() for k2,v2 in v1.items()} for x in row]
data.append(d)
print (data)
getting output like this 得到这样的输出
[[{'M1': 'data', 'M2': 'data2'}], [{'M3': '555', 'M5': '3333'}]]
need the output like this 需要这样的输出
[{'M1': 'data', 'M2': 'data2'}, {'M3': '555', 'M5': '3333'}]
By doing: 通过做:
d = [{k1+k2:v2 for k1,v1 in x.items() for k2,v2 in v1.items()} for x in row]
You are creating a list. 您正在创建一个列表。 And appending it to
data
. 并将其附加到
data
。
Modified code: 修改后的代码:
import pandas as pd
df = pd.DataFrame({'data': [{'M': {'1': 'data', '2': 'data2'}}, {'M': {'3': '555', '5': '3333'}}]})
data = []
for row in df.iterrows():
d = {k1+k2:v2 for x in row[1] for k1,v1 in x.items() for k2,v2 in v1.items()}
data.append(d)
print(data)
.extend()
- extends the list by adding all items of a list (passed as an argument) to the end. .extend()
-通过将列表的所有项目(作为参数传递)添加到末尾来扩展列表。 Ex. 防爆。
import pandas as pd
data = {'data':[{'M': {'1': 'data', '2': 'data2'}},{'M': {'3': '555', '5': '3333'}}]}
df = pd.DataFrame(data)
print(df)
result=[]
for row in df.iterrows():
x = [{"{0}{1}".format(k,k1) : v1 for k,v in x[1].items() for k1,v1 in v.items()} for x in row[1].items() ]
result.extend(x)
print(result)
Or single-line list comprehension 或单行列表理解
x = [{"{0}{1}".format(k,k1) : v1 for k,v in x[1].items() for k1,v1 in v.items()} for row in df.iterrows()
for x in row[1].items() ]
print(x)
O/P: O / P:
data
0 {'M': {'1': 'data', '2': 'data2'}}
1 {'M': {'3': '555', '5': '3333'}}
[{'M1': 'data', 'M2': 'data2'}, {'M3': '555', 'M5': '3333'}]
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