Aniruddha Bhandari aniruddha27
aniruddha27
/ House_Price_unique.py
Created
March 17, 2020 06:39
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| train['PoolQC'].unique() |
aniruddha27
/ GroupBy_1.py
Last active
September 20, 2021 17:14
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| import pandas as pd | |
| import numpy as np | |
| df = pd.read_csv(r'C:\Users\Dell\Desktop\train_big_mart.csv') | |
| df.head() |
aniruddha27
/ GroupBy_2.py
Last active
March 18, 2020 08:49
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| df.info() |
aniruddha27
/ GroupBy_3.py
Created
March 18, 2020 08:52
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| df.groupby('Outlet_Location_Type') |
aniruddha27
/ GroupBy_4.py
Created
March 18, 2020 08:53
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| df.groupby('Outlet_Location_Type').count() |
aniruddha27
/ GroupBy_5.py
Created
March 18, 2020 08:54
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| df.groupby('Outlet_Location_Type')['Item_Outlet_Sales'] |
aniruddha27
/ GroupBy_6.py
Created
March 18, 2020 08:55
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| df.groupby('Outlet_Location_Type')['Item_Outlet_Sales'].sum() |
aniruddha27
/ GroupBy_7.py
Created
March 18, 2020 08:56
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| data = {'Gender':['m','f','f','m','f','m','m'],'Height':[172,171,169,173,170,175,178]} | |
| df_sample = pd.DataFrame(data) | |
| df_sample |
aniruddha27
/ GroupBy_8.py
Created
March 18, 2020 08:57
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| f_filter = df_sample['Gender']=='f' | |
| print(df_sample[f_filter]) | |
| m_filter = df_sample['Gender']=='m' | |
| print(df_sample[m_filter]) |
aniruddha27
/ GroupBy_9.py
Created
March 18, 2020 08:59
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| f_avg = df_sample[f_filter]['Height'].mean() | |
| m_avg = df_sample[m_filter]['Height'].mean() | |
| print(f_avg,m_avg) |