#### Oct 28, 2014 · 1 Answer. Sorted by: 3. There are examples of doing what you want in the pandas documentation. In pandas the method is called resample. **monthly**_x = x.resample ('M') Or this is an example of a **monthly** seasonal plot for daily data in statsmodels may be of interest. import statsmodels.api as sm import pandas as pd dta = sm.datasets.elnino.load .... This post covers how to upsample and **downsample** data and the possible pitfalls of this process. Before we cover the technical details let us first explain what we mean by upsample and **downsample** and why we may need to use it. Both these techniques relate to the rate at which data is sampled, known as the sampling rate. pandasDF = pysparkDF. toPandas () print( pandasDF) This yields the below panda's **DataFrame**. Note that pandas add a sequence number to the result as a row Index. You can rename pandas columns by using rename () function. first_name middle_name last_name dob gender salary 0 James Smith 36636 M 60000 1 Michael Rose 40288 M 70000 2 Robert.

**In**the simple case where your array's size is divisible by the downsampling factor (R), you can reshape your array, and take the mean along the new axis: import. ... 20.04 Build super fast web scraper with

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**DataFrame**to a. 1 Answer. Sorted by: 3. There are examples of doing what you want in the pandas documentation. In pandas the method is called resample. monthly_x = x.resample ('M') Or this is an example of a monthly seasonal plot for daily data in statsmodels may be of interest. import statsmodels.api as sm import pandas as pd dta = sm.datasets.elnino.load.