import pandas as pd # 创建DataFrame data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35], 'City': ['New York', 'Paris', 'London'] } df = pd.DataFrame(data) # 获取列名 column_names = df.columns # 打印列名 print(column_names) 运行这段代码后,你将在控制...
import pandas as pd import numpy as np # 创建一个示例DataFrame data = { 'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9] } df = pd.DataFrame(data) # 获取NumPy数组和列名 array = df.values column_names = df.columns.tolist() print("NumPy Array:") print(...
1),('B', 2)],names=['Group', 'Number'])从 DataFrame 创建：df = pd.DataFrame({'A': [...
The Python programming code below shows how to exchange only some particular column names in a pandas DataFrame. For this, we can use the rename function as shown below: data_new2=data.copy()# Create copy of DataFramedata_new2=data_new2.rename(columns={"x1":"col1","x3":"col3"})#...
s1=pd.DataFrame(np.array([[1,23,4,5,6],[45,66,86,44,34],[4,94,32,45,2]]),columns=["w","q","e","r","t"])s2=pd.Series(["X0","X1","X2"],name="y")# 指定下Series的column name ,指定索引 index=result=pd.concat([s1,s2],axis=1)# 按列拼接 axis=1print(result)...
print(df_data.valid) 1. 或者 AI检测代码解析 print(df_data['valid']) 1. 1.2 遍历DataFrame itertuples 按行遍历 AI检测代码解析 import pandas as pd df_data = pd.read_csv('my_dataset\wx_data\PeMSD8\PeMSD8.csv', nrows=2934) for i in df_data.itertuples(): ...
DataFrame.columns = [newName] df['Hour'] = pd.to_datetime(df['report_date']) df.rename(index = str,column= new_names) 删除列: #通过特征选取 data = data[['age']] #通过del 关键字 del data['name'] #通过drop函数 data.drop(['name'],axis=1, inplace=True) ...
示例：import pandas as pdimport numpy as np# 创建一个带有缺失值的DataFramedata = {'Name': ['John', 'Emma', np.nan],'Age': [25, np.nan, 35],'City': ['New York', 'London', 'Paris']}df = pd.DataFrame(data)print(df)程序输出： Name Age City0 John 25.0 New ...
有时候DataFrame中的行列数量太多,print打印出来会显示不完全。就像下图这样: 列显示不全: 行显示不全: 添加如下代码,即可解决。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #显示所有列 pd.set_option('display.max_columns', None) #显示所有行 pd.set_option('display.max_rows', None) #设置valu...
dataframe.reindex(columns= [column_names])例：import pandas as pd import numpy as np df = pd....