pandas-resample the polymerization time

import pandas as pd

# If necessary, the date to be converted in the datetime column df

df.date = pd.to_datetime(df.date,format="%Y%m%d")

# Will be diverted out a good date format, set the index df

df.set_index('date',drop=True)

 

# Year to provide data (because the index is already a datetime, can be directly [] row fetching content)

df['2018']

df['2018':'2021']

# Monthly to mention data

df['2018-01']

df['2018-01':'2018-05']

Data presented by # days

df['2018-05-24':'2018-09-27']

 

# Summary data by date

# The data begins with the first day of the week W, M month, Q quarter, QS quarter, A Year, 10A decade, 10AS years of the date of the first day of the polymerization. The polymerized form

df.resample('W').sum()

df.resample('M').sum()

 

# Polymerization of specific data for a column

df.price.resample ( 'W'). sum (). fillna (0) # weeks polymerized to fill NaN values ​​0

# A two

df[['price','num']].resample('W').sum().fillna(0)

# Certain period of time, to W polymerization,

df["2018-5":"2018-9"].resample("M").sum().fillna(0)