如何将 Pandas DataFrame 转换为列表?
让我们讨论如何将 Pandas 数据框转换为 List。首先,让我们创建一个 Basic DataFrame:
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ],
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Print the dataframe
df
Python3
df.values.tolist()
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Converting DataFrame to a list containing
# all the rows of column 'Name'
names = df['Name'].tolist()
# Printing the converted list.
print(names)
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Creating an empty list
res=[]
# Iterating through the columns of
# dataframe
for column in df.columns:
# Storing the rows of a column
# into a temporary list
li = df[column].tolist()
# appending the temporary list
res.append(li)
# Printing the final list
print(res)
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Converting dataframe to list
li = df.values.tolist()
# Printing list
print(li)
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Converting dataframe to list
li = [df.columns.values.tolist()] + df.values.tolist()
# Printing list
print(li)
输出 :
有时,您可能需要将 pandas 数据框转换为 List。要完成此任务,可以使用“ tolist() ”函数。下面是使用此函数并将所需的 DataFrame 转换为 List 的基本示例。
Python3
df.values.tolist()
输出 :
[['Tony', 35], ['Steve', 70], ['Bruce', 45], ['Peter', 20]]
在这里,每个内部列表都包含特定行的所有列。
Pandas DataFrame 可以通过多种方式转换为列表。让我们来看看一个一个转换 DataFrame 的不同方法。
方法 #1:将 DataFrame 转换为包含特定列的所有行的 List:
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Converting DataFrame to a list containing
# all the rows of column 'Name'
names = df['Name'].tolist()
# Printing the converted list.
print(names)
输出:
['Tony', 'Steve', 'Bruce', 'Peter']
方法 #2:将 DataFrame 转换为包含所有列的所有行的嵌套列表:
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Creating an empty list
res=[]
# Iterating through the columns of
# dataframe
for column in df.columns:
# Storing the rows of a column
# into a temporary list
li = df[column].tolist()
# appending the temporary list
res.append(li)
# Printing the final list
print(res)
输出:
[['Tony', 'Steve', 'Bruce', 'Peter'], [35, 70, 45, 20]]
方法 #3:将 DataFrame 转换为包含具有行的所有列的列表的列表。
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Converting dataframe to list
li = df.values.tolist()
# Printing list
print(li)
输出 :
[['Tony', 35], ['Steve', 70], ['Bruce', 45], ['Peter', 20]]
方法 #4:将 DataFrame 转换为包含列表的列表,该列表包含行的所有列以及列名。
Python3
import pandas as pd
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ] ,
'Age': [35, 70, 45, 20] }
# Creating DataFrame
df = pd.DataFrame(data)
# Converting dataframe to list
li = [df.columns.values.tolist()] + df.values.tolist()
# Printing list
print(li)
输出:
[[‘Name’, ‘Age’], [‘Tony’, 35], [‘Steve’, 70], [‘Bruce’, 45], [‘Peter’, 20]]