使用pandas的drop()函数删除指定索引的行:df = df.drop(rows_to_delete) 最后,可以打印出删除指定行后的DataFrame对象:print(df) 这样就可以使用pandas随机删除具有条件的行了。
回答一: 当你这样做时,len(df['column name'])你只得到一个数字,即DataFrame中的行数(即列本身的长度)。如果要应用于len列中的每个元素,请使用df['column name'].map(len)。 尝试使用: df[df['column name'].map(len) < 2] 评论: 我想出了一种使用列表解析的方法:df[[(len(x) < 2) for x ...
DataFrame(d) print ("Our dataframe is:") print df # using del function print ("Deleting the first column using DEL function:") del df['one'] print df # using pop function print ("Deleting another column using POP function:") df.pop('two') print df 行选择,添加和删除 标签选择 loc...
代码语言:txt 复制 df = df.drop(rows_to_delete.index) 最后,删除添加的计数列: 代码语言:txt 复制 df = df.drop('count', axis=1) 完整的代码示例: 代码语言:txt 复制 import pandas as pd # 读取数据框 df = pd.read_csv('data.csv') # 确定需要删除的列和条件 column_name = 'column_name'...
数据:数据df是dataframe类型,并且包含多个dataframe类型子数据,他们的列名都是两级,将df导出到Excel的默认工作簿中后,发现表中第三行和第一列都是空白的,其实就是dataframe的列索引和行索引。 问题:导出数据后,再加载Excel删去行、列索引,发现表中多级列名中的第一级列名合并单元格都失效了,并且只显示第一个子数据...
pandas.DataFrame(data, index, columns, dtype, copy) 1. 编号 参数 描述 1 data 数据采取各种形式,如:ndarray,series,map,lists,dict,constant和另一个DataFrame。 2 index 对于行标签,要用于结果帧的索引是可选缺省值np.arrange(n),如果没有传递索引值。 3 columns 对于列标签,可选的默认语法是 - np.ara...
To directly answer this question's original title "How to delete rows from a pandas DataFrame based on a conditional expression" (which I understand is not necessarily the OP's problem but could help other users coming across this question) one way to do this is to use the drop method: ...
Table 1 shows that our example data contains six rows and four variables that are named “x1”, “x2”, “x3”, and “x4”.Example 1: Remove Column from pandas DataFrame by NameThis section demonstrates how to delete one particular DataFrame column by its name....
Example 1: Drop Rows of pandas DataFrame that Contain One or More Missing ValuesThe following syntax explains how to delete all rows with at least one missing value using the dropna() function.Have a look at the following Python code and its output:data1 = data.dropna() # Apply dropna()...
To directly answer this question’s original title “How to delete rows from a pandas DataFrame based on a conditional expression” (which I understand is not necessarily the OP’s problem but could help other users coming across this question) one way to do this is to use the drop ...