ZBLOG

Write a function to concatenate two DataFrames by the clumns 'B' of first DataFrame. And if there are other columns with same label, for example C in the sample dataframes of df5 and df6, providing the suffix labels for data sources, i.e., 'C_firs...

Sure! Here is the code for the requested functions:

import pandas as pd

def concatenate_dataframes(df1, df2):
    df_con = pd.merge(df1, df2, on='B', suffixes=('_first', '_second'))
    return df_con

df5 = make_df('ABC', [1, 2])
df6 = make_df('BCD', [1, 2])

print('Dataframes before concatenation:')
display(df5, df6)

df_con = concatenate_dataframes(df5, df6)

print('Dataframe after concatenation:')
display(df_con)


def select_idx(df):
    df_sel = df.loc[1]
    return df_sel

df_sel = select_idx(df_con)

print('Values after selection:')
display(df_sel)


def replace_missing_values(population):
    population['population'] = population.groupby(['year', 'ages'])['population'].transform(lambda x: x.fillna(x.mean()))
    return population

population = pd.DataFrame({
    'ages': ['under18','total','under18','total','under18', 'total',
             'under18','total','under18','total','under18','total'],
    'year': [2010,2010,2012,2012,2010,2010,
             2012,2012,2010,2010, 2012, 2012],
     'population': [11174,48175,np.nan,98723,np.nan,
                    31400,23654,np.nan,
                    16370,92653,np.nan ,89921]
})

replaced_population = replace_missing_values(population)

print('Population dataframe after replacing missing values:')
display(replaced_population)

Please note that I assumed you have already defined a function make_df to create the sample DataFrames.


内容由零声教学AI助手提供,问题来源于学员提问

本站部分文章来源于网络,版权归原作者所有,如有侵权请联系站长删除。
转载请注明出处:https://sdn.0voice.com/?id=2375

分享:
扫描分享到社交APP
上一篇
下一篇
发表列表
游客 游客
此处应有掌声~
评论列表

还没有评论,快来说点什么吧~

联系我们

在线咨询: 点击这里给我发消息

微信号:3007537140

上班时间: 10:30-22:30

关注我们
x

注册

已经有帐号?