如何在 Python-Pandas 中将 Dataframe 列转换成索引？
熊猫 提供了一种处理数据及其转换的便捷方式。让我们看看如何在 Pandas 中将数据框列转换为行名或索引。 首先用列表字典创建一个数据框架。
蟒蛇 3
# importing pandas as pd
import pandas as pd
# Creating a dict of lists
data = {'Name':["Akash", "Geeku", "Pankaj", "Sumitra", "Ramlal"],
'Branch':["B.Tech", "MBA", "BCA", "B.Tech", "BCA"],
'Score':["80", "90", "60", "30", "50"],
'Result': ["Pass", "Pass", "Pass", "Fail", "Fail"]}
# creating a dataframe
df = pd.DataFrame(data)
df
输出:
方法#1: 采用 set_index() 方法。
蟒蛇 3
# importing pandas as pd
import pandas as pd
# Creating a dict of lists
data = {'Name':["Akash", "Geeku", "Pankaj", "Sumitra", "Ramlal"],
'Branch':["B.Tech", "MBA", "BCA", "B.Tech", "BCA"],
'Score':["80", "90", "60", "30", "50"],
'Result': ["Pass", "Pass", "Pass", "Fail", "Fail"]}
# Creating a dataframe
df = pd.DataFrame(data)
# Using set_index() method on 'Name' column
df = df.set_index('Name')
df
输出:
现在，将索引名称设置为无。
蟒蛇 3
# set the index to 'None' via its name property
df.index.names = [None]
df
输出:
法#2: 用枢()法。 为了将数据框中的列转换为行名或索引，Pandas 内置了一个函数 Pivot。现在，假设我们希望结果是行/索引，列是数据框中的名称，为了实现这一点，pandas 提供了一个名为 Pivot 的方法。让我们看看它是如何工作的，
蟒蛇 3
# importing pandas as pd
import pandas as pd
# Creating a dict of lists
data = {'name':["Akash", "Geeku", "Pankaj", "Sumitra", "Ramlal"],
'Branch':["B.Tech", "MBA", "BCA", "B.Tech", "BCA"],
'Score':["80", "90", "60", "30", "50"],
'Result': ["Pass", "Pass", "Pass", "Fail", "Fail"]}
df = pd.DataFrame(data)
# pivoting the dataframe
df.pivot(index ='Result', columns ='name')
df
输出:
