In this article, I’ve compiled the most frequently asked Pandas interview questions and their answers. Some of the questions are from my own interview experience at Target in a data scientist role. Let's get started! Pandas Basic Interview Questions Let’s look at some basic interview question...
'IT'])]sorted_df=df.sort_values(by='Age',ascending=False)# Handle missing datadf.at[2,'Age']=None# Simulate missing age for 'Charlie'df.dropna(inplace=True)# Drop rows with any missing data# Group, aggregate
Prepare for Pandas interview questions for freshers with this guide, covering everything from beginner to expert topics in Python, data analysis, and machine learning.
原始数据如下图所示： 下面是她自己写的代码： # df['name'] = df['name'].str.lower() test...
group_obj = df.groupby('High') # applying the aggregation function t_df = group_obj.agg(lambda x: sum(x) if any(x) else np.nan).reset_index() t_df.head(6) Frequently Asked Questions of Pandas Groupby Aggregate What is the purpose of the groupby() function in Pandas?
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get_dummies(train_ccx_A) #变成哑变量形式one-hot编码 特征增加了 df2 = df.groupby(['ccx_id'],as_index=False).sum() #根据id汇总 加和 df3 = pd.merge(df2,query,on='ccx_id',how='left')#query 和 df2合并 df3 = pd.merge(train_target_A,df3,on='ccx_id',how='left')#target与...
random.randint(0, 100, size=(1000, 5)) column_names = [f"Col_{i}" for i in range(1, 5 + 1)] # Create a DataFrame and save it as a CSV file large_csv_file = "large_file.csv" df = pd.DataFrame(data, columns=column_names) df.to_csv(large_csv_file, index=False) print(...
Combining with stats and GroupBy It should be no shock that combining pivot / stack / unstack with GroupBy and the basic Series and DataFrame statistical functions can produce some very expressive and fast data manipulations. In [49]: df Out[49]: exp A B A animal cat dog cat dog first ...
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