python dataframe根据列号取出列 原文:https://thispointer.com/select-rows-columns-by-name-or-index-in-dataframe-using-loc-iloc-python-pandas/ 比如这个数据: students = pd.DataFrame([ ('jack',34,'Sydeny') , ('Riti',30,'Delhi') , ('Aadi',16,'New York') ], columns = ['Name','Age'...
DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) 1. 2. 3. 4. 5. 6.步骤2:选择部分列接下来,我们需要选择我们想要分析的列。可以通过在数据框中使用列名来选择相应的列。# 选择列A和列B selected_data = data[['A', 'B']] 1. 2....
确定需要筛选的列名,这些列名应该存在于DataFrame的列中。 python columns_to_select = ['姓名', '城市'] 4. 使用列名筛选DataFrame的列 使用指定的列名来筛选DataFrame的列,可以通过在DataFrame对象后使用中括号和列名列表来实现。 python selected_df = df[columns_to_select] 5. 打印或返回筛选后的DataFrame...
I have a dataframe with many many columns. I want to reduce this dataframe to one with only the columns I require. Instead of using del df['column_name'] for all the columns that I don't need, is there a way to select the ones I do and create a new dataframe? I have tried...
# Create a DataFrameobjectstu_df= pd.DataFrame(students, columns =['Name','Age','Section'], index=['1','2','3','4']) stu_df 输出: 现在,让我们看看不同的方式来迭代DataFrame或某些列: 方法#1:使用DataFrame.iteritems(): Dataframe类提供了一个成员函数iteritems(),该函数提供了一个迭代器,...
I want to consider only rows which have one or more columns greater than a value. My actual df has 26 columns. I wanted an iterative solution. Below I am giving an example with three columns. My code: df = pd.DataFrame(np.random.randint(5,15, (10,3)), columns=lis...
As the column positions may change, instead of hard-coding indices, you can useilocalong withget_locfunction ofcolumnsmethod of dataframe object to obtain column indices.由于列位置可能会发生变化,因此可以使用iloc和get_loc对象的columns方法的get_loc函数一起使用,而不用对索引进行硬编码,以获取列索引。
Square brackets can do more than just selecting columns. You can also use them to get rows, or observations, from a DataFrame. Example You can only select rows using square brackets if you specify a slice, like 0:4. Also, you're using the integer indexes of the rows here, not the ro...
df = pd.DataFrame(data) # select two columns print(df[['Name', 'Qualification']]) 产出: 柱加法: 在PandasDataFrame中添加一个列,将一个新列表声明为一个列并添加到现有的Dataframe中。 # Import pandas package import pandas as pd # Define a dictionary containing Students data ...
Select Columns --> Filter Rows --> Apply Conditions section Data Analysis Perform Calculations --> Generate Insights --> Visualize Data 状态图 Data_CollectionData_FilteringData_Analysis 总结 在本文中,我们介绍了在Python中使用pandas库中的DataFrame来筛选多个条件的数据的方法。我们演示了使用loc函数和逻辑...