在熊猫数据框中将一个文本列拆分为两列
原文:https://www.geesforgeks.org/split-a-text-column-in-pandas-data frame/
让我们看看如何在熊猫数据框中将一个文本列分成两列。
方法#1 : 使用[Series.str.split()](https://www.geeksforgeeks.org/python-pandas-split-strings-into-two-list-columns-using-str-split/)功能。
将名称列拆分为两个不同的列。默认情况下，通过str.split()功能在单个空间的基础上进行拆分。
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John Larter', 'Robert Junior', 'Jonny Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
# bydefault splitting is done on the basis of single space.
print("\nSplitting 'Name' column into two different columns :\n",
df.Name.str.split(expand=True))
输出:
将名称列分别拆分为“第一个”和“最后一个”列，并将其添加到现有的数据框中。
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John Larter', 'Robert Junior', 'Jonny Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
# Adding two new columns to the existing dataframe.
# bydefault splitting is done on the basis of single space.
df[['First','Last']] = df.Name.str.split(expand=True)
print("\n After adding two new columns : \n", df)
输出:
使用下划线作为分隔符，将列拆分为两列。
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
# Adding two new columns to the existing dataframe.
# splitting is done on the basis of underscore.
df[['First','Last']] = df.Name.str.split("_",expand=True)
print("\n After adding two new columns : \n",df)
输出:
一起使用str.split()、tolist()功能。
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
print("\nSplitting Name column into two different columns :")
print(pd.DataFrame(df.Name.str.split('_',1).tolist(),
columns = ['first','Last']))
输出:
方法 2 : 使用apply()功能。
将名称列拆分为两个不同的列。
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
print("\nSplitting Name column into two different columns :")
print(df.Name.apply(lambda x: pd.Series(str(x).split("_"))))
输出:
将名称列拆分为两个不同的列，分别命名为“第一个”和“最后一个”，然后将其添加到现有的数据框中。
# import Pandas as pd
import pandas as pd
# create a new data frame
df = pd.DataFrame({'Name': ['John_Larter', 'Robert_Junior', 'Jonny_Depp'],
'Age':[32, 34, 36]})
print("Given Dataframe is :\n",df)
print("\nSplitting Name column into two different columns :")
# splitting 'Name' column into Two columns
# i.e. 'First' and 'Last'respectively and
# Adding these columns to the existing dataframe.
df[['First','Last']] = df.Name.apply(
lambda x: pd.Series(str(x).split("_")))
print(df)
输出:
