pandas resample to get monthly average with time series data

Question

I\'m using the time series dataset from tableau (https://community.tableau.com/thread/194200), containing daily furniture sales, and I want to resample to get average monthly sa

Answer 1

You can get the average sales per month using a pivot table: Try:

df['Order_date']=pd.to_datetime(df['Order_date'])
df['Month']=df['Order_date'].dt.month
df_pivot=df.pivot_table(columns='Month',aggfunc='mean')

Answer 2

I'm not sure whether your expected ans is 90.85 or 704. So I'm providing solution for the both, choose it as per your requirements.

l1 = ['Order Date',
      'Sales',
      ]
l2 = [['2014/1/6',2573.82],
        ['2014/1/7',76.728],
        ['2014/1/16',127.104],
        ['2014/1/20',38.6],
        ['2014/2/20',38.6],
     ]
df = pd.DataFrame(l2, columns=l1)

df['Order Date'] = pd.to_datetime(df['Order Date'])  #make sure Order Date is of Date type



x = df.groupby(df['Order Date'].dt.month).mean()  #or .agg('mean')
#### Output  ####
Order Date         
1           704.063
2            38.600



def doCalculation(df):
    groupSum = df['Sales'].sum()
    return (groupSum / df['Order Date'].dt.daysinmonth)

y = df.groupby(df['Order Date'].dt.month).apply(doCalculation).groupby(['Order Date']).mean()

#### Output ####
Order Date
1    90.846839
2     1.378571