1 create new column in pandas based on condition 1 create new column based on conditional of other columns 1 How to create another column in pandas based on a condition? 1 Python Create column based on existing column with conditions 4 Create a new column based on a condition 1 Crea...
condition = df['KPI'].str.contains('Margin| Revenue|ROE|ROA') df['scope'] = pd.np.where(condition,'Max','Min') The first parameter tonp.whereis the condition, second is value to put when True and third is value to put when False I think you are looking for somethin...
importpandasaspd 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 ...
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...
# 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。
"""deleting a column"""deldf['column-name']# note that df.column-name won't work. 得到某一行 代码语言:python 代码运行次数:0 复制 Cloud Studio代码运行 """making rows out of whole objects instead of parsing them into seperate columns"""# Create the dataset (no data or just the indexe...
# merge two DataFrames by column Namedata2={'Name':['Tom','Jack','David','Mary'],'Salary':[3500,4500,2800,5000]}df2=pd.DataFrame(data2)df_merged=pd.merge(df,df2,on='Name')print(df_merged)# create a pivot table based on Gender and Agedf_pivot=pd.pivot_table(df,index='Gender...
[False, True, False, True, False, False, False, True, False, True, False, True])# Use extract to get the valuesnp.extract(cond, array)array([ 1, 19, 11, 13, 3])# Apply condition on extract directlynp.extract(((array < 3) | (array >...
# Returns only time column 最后,pivot_table() 也是 Pandas 中一个非常有用的函数。如果对 pivot_table() 在 excel 中的使用有所了解,那么就非常容易上手了。 # Create a sample dataframe school = pd.DataFrame({'A': ['Jay', 'Usher', 'Nicky', 'Romero', 'Will'], ...
# We ll use the same dataframe that we used for read_csvframex=df.select_dtypes(include="float64")# Returns only time column 十、pivot_table( ) pivot_table( ) 也是 Pandas 中一个非常有用的函数。如果对 pivot_table( ) 在 excel 中的使用有所了解,那么就非常容易上手了。