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...
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...
Python program to replace all values in a column, based on condition # Importing pandas packageimportpandasaspd# creating a dictionary of student marksd={"Players":['Sachin','Ganguly','Dravid','Yuvraj','Dhoni','Kohli'],"Format":['ODI','ODI','ODI','ODI','ODI','ODI'],"Runs":[159...
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...
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
In pandas, you can add a column with a default value to the existing DataFrame… Comments Off on Pandas Add Column with Default Value December 24, 2022 Pandas Select Pandas Columns Based on Condition We can select columns based on single/multiple conditions using the pandas loc[] attri...
Conditional creation of a series/DataFrame column For this purpose, we usenp.where()method. In this method, a condition is passed, and based on the condition it returns indices of elements in an input array which is also passed along with the condition. ...
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：
When merging, use thesuffixesparameter to automatically add suffixes to overlapping column names. For more specific renaming, rename columns of individual DataFrames before merging. Example:df1.rename(columns={'A': 'df1_A'}, inplace=True) df2.rename(columns={'A': 'df2_A'}, inplace=True)...