Python program to replace all values in a column, based on condition# Importing pandas package import pandas as pd # creating a dictionary of student marks d = { "Players":['Sachin','Ganguly','Dravid','Yuvraj','Dhoni','Kohli'], "Format":['ODI','ODI','ODI','ODI','ODI','ODI']...
Alternatively, we can create and add a new column in pandas DataFrames based on the values of existing columns usingnumpy.where()function. In this example, I will add a new column, that I have to create based on the ‘Discount’ column of the given DataFrame. # Add column using np.whe...
df = pd.DataFrame(data) # Creating a new column 'D' based on a condition in column 'A' df['D'] = df['A'].apply(lambda x: 'Even' if x % 2 == 0 else 'Odd') print(df) Output: A D 0 1 Odd 1 2 Even 2 3 Odd 使用lambda函数来检查' a '中的每个元素是偶数还是奇数,并将...
Can I add a constant column based on a condition? You can add a constant column to a Pandas DataFrame based on a condition using the numpy library and boolean indexing. Conclusion In this article, you have learned how to add a constant column to pandas DataFrame by using DataFrame.assing(...
# Creating a new column 'D' based on a condition in column 'A' df['D'] = df['A'].apply(lambda x: 'Even' if x % 2 == 0 else 'Odd') print(df) Output: A D 0 1 Odd 1 2 Even 2 3 Odd 使用lambda函数来检查' a '中的每个元素是偶数还是奇数,并将结果分配给' D '列。
data={'A':[1,2,3]}df=pd.DataFrame(data)# Creating anewcolumn'D'based on a conditionincolumn'A'df['D']=df['A'].apply(lambda x:'Even'ifx%2==0else'Odd')print(df)Output:AD01Odd12Even23Odd 使用lambda函数来检查' a '中的每个元素是偶数还是奇数,并将结果分配给' D '列。
There are times when you would like to add a new DataFrame column based on some condition. Create new Pandas dataframe column based on if-elif-else condition
importpandasaspddata= {'A': [1, 2, 3]}df = pd.DataFrame(data)#Creatinga new column'D'based on a conditionincolumn'A'df['D'] = df['A'].apply(lambda x: 'Even'ifx %2==0else'Odd') print(df)Output:AD01Odd12Even23Odd
Isolating rows based on a condition in pandas The below example fetched all rows where Outcome is 1. Here df.Outcome selects that column, df.Outcome == 1 returns a Series of Boolean values determining which Outcomes are equal to 1, then [] takes a subset of df where that Boolean Serie...
字符串 首先，我们创建一个合同类型代码字典，作为键和相关描述。随着时间的推移，我们可能希望在这里添加一个新的合约类型，而不会减少代码的其余部分。接下来，我们创建一个系列contract_type：