You can also use the DataFrame.apply() method to split a column of lists (or tuples) into multiple columns. main.py import pandas as pd df = pd.DataFrame({ 'A': ['Alice', 'Bobby', 'Carl'], 'B': [[1, 2], [3, 4], [5, 6]], }) print(df) print('-' * 50) df[[...
PandasSeries.str.the split()function is used to split the one-string column value into two columns based on a specified separator or delimiter. This function works the same asPython.string.split()method, but the split() method works on all Dataframe columns, whereas theSeries.str.split()func...
Write a Pandas program to split a column into multiple columns. This exercise demonstrates how to split a single column into multiple columns using str.split(). Sample Solution: Code : importpandasaspd# Create a sample DataFrame with combined data in one columndf=pd.DataFrame({'Full_Name':['...
23. Split Column String into Multiple Columns Write a Pandas program to split a string of a column of a given DataFrame into multiple columns. Sample Solution: Python Code : importpandasaspd df=pd.DataFrame({'name':['Alberto Franco','Gino Ann Mcneill','Ryan Parkes','Eesha Artur Hinton',...
参数orient是对待处理的json格式的一种预先指令,支持:"split"/"records"/"index"/"columns"/"values",default None。 (1)"split" : dict like{index->[index],columns->[columns],data->[values]} 就像'{"index":[1,2,3],"columns":["orderid","uid","order_date"],"data":[[1,3,4],[2,8...
df.姓名.str.split(' ', expand=True) 11.把 Series 里的列表转换为 DataFrame df = pd.DataFrame({'列1':['a','b','c'],'列2':[[10,20], [20,30], [30,40]]}) df df_new = df.列2.apply(pd.Series) pd.concat([df,df_new], axis='columns') 12.用多个函数聚合 orders = pd...
groupby(column_name).mean() # 按列名分组并计算均值 df[column_name].apply(function) # 对某一列应用自定义函数 数据可视化 import matplotlib.pyplot as plt # 绘制柱状图 df[column_name].plot(kind="bar") # 绘制散点图 df.plot(x="column_name1", y="column_name2", kind="scatter"...
# split team column into two columnsdf[["Name","lastname"]]=df["Name"].str.split(",",2, expand=True)df 输出: 对于代码中使用的 CSV 文件下载,请单击此处。 学生成绩数据包含在以下示例中使用的 DataFrame 中。附加任何操作之前的 DataFrame 图像。
df.columns#任务四:查看“Cabin”这列数据的所有值df['Cabin'].head(3) #第一种方法读取df.Cabin.head(3) #第二种方法读取#任务五:加载数据集“test_1.csv”,对比train.csv,test_1 = pd.read_csv('test_1.csv')test_1.head(3)#删除多余的列...
DataFrame({"a": ["1,2", "4,5"], "b": [11, 13]}) # Turn strings into lists df.a = df.a.str.split(",") df 代码语言:python 代码运行次数:0 运行 AI代码解释 print(df.explode("a", ignore_index=False)) 💡 9:数据相关性 如果要计算两个 DataFrame 的行或列之间的相关性,可以...