将字典列表附加到 Python 中现有的 Pandas DataFrame
将字典列表附加到现有的PandasDataFrame，使用该append()方法。首先，创建一个DataFrame-
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Audi', 'XUV', 'Lexus', 'Volkswagen'],"Place": ['Delhi','Bangalore','Pune','Chandigarh','Mumbai'],"Units": [100, 150, 50, 110, 90]
}
)创建字典列表-
d = [{'Car': 'Mustang', 'Place': 'Hyderabad', 'Units': 60},{'Car': 'Tesla', 'Place': 'Kerala', 'Units': 30},{'Car': 'RollsRoyce', 'Place': 'Punjab', 'Units': 70},{'Car': 'Bentley', 'Place': 'Gujarat', 'Units': 80}
]现在，将字典列表附加到已经创建的DataFrame-
dataFrame = dataFrame.append(d, ignore_index=True, sort=False)
示例
以下是代码-
import pandas as pd;
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Audi', 'XUV', 'Lexus', 'Volkswagen'],"Place": ['Delhi','Bangalore','Pune','Chandigarh','Mumbai'],"Units": [100, 150, 50, 110, 90]
}
)
print("DataFrame ...\n",dataFrame)
#创建字典
d = [{'Car': 'Mustang', 'Place': 'Hyderabad', 'Units': 60},{'Car': 'Tesla', 'Place': 'Kerala', 'Units': 30},{'Car': 'RollsRoyce', 'Place': 'Punjab', 'Units': 70},{'Car': 'Bentley', 'Place': 'Gujarat', 'Units': 80}
]
print("\n Dictionary....\n", d)
#将字典列表附加到已创建的DataFrame
dataFrame = dataFrame.append(d, ignore_index=True, sort=False)
#显示附加结果
print("\nResult of append...\n",dataFrame)输出结果这将产生以下输出-
DataFrame ...
Car Place Units
0 BMW Delhi 100
1 Audi Bangalore 150
2 XUV Pune 50
3 Lexus Chandigarh 110
4 Volkswagen Mumbai 90
Dictionary....
[{'Units': 60, 'Car': 'Mustang', 'Place': 'Hyderabad'}, {'Units': 30, 'Car': 'Tesla', 'Place': 'Kerala'}, {'Units': 70, 'Car': 'RollsRoyce', 'Place': 'Punjab'}, {'Units': 80, 'Car': 'Bentley', 'Place': 'Gujarat'}])
Result of append...
Car Place Units
0 BMW Delhi 100
1 Audi Bangalore 150
2 XUV Pune 50
3 Lexus Chandigarh 110
4 Volkswagen Mumbai 90
5 Mustang Hyderabad 60
6 Tesla Kerala 30
7 RollsRoyce Punjab 70
8 Bentley Gujarat 80