Convert pandas dataframe to series

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      For weighted average calculations, use numpy average function (with weights parameter) on the applicable dataframe series via apply method . Convert the output generated using apply method to a dataframe using ‘DataFrame’ pandas method. Specify the …

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      :Features of Python for data science, Introduction to various Python libraries for data science, Basics of NumPy, creating and indexing arrays, Installing and importing Pandas, Creating DataFrames, DataFrame attributes, Reading data, DataFrame operations. Handling duplicates, Dealing with missing values, Removing null values, Imputation.

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      Write a Pandas program to compare the elements of the two Pandas Series?? Write a Python program to convert a dictionary to a Pandas series. Sample Series: Dictionary: {'a': 100, 'b': 200, 'c': 300, 'd': 400, 'e': 800} ... Create the above dataframe and write the statement for the following: Find total sales per state

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      pandas. definition and reference. pandas stands for . pan. el . da. ta . s. ystem. It’s a convenient and powerful system for handling large, complicated data sets. (The author pronounces it “pan-duss”.) pandas cheat sheet. Data frames. rectangular data structure, looks a lot like an array. each column is a . Series; each column can be of ...

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      pandas cookbook - Recipes for using Python's pandas library. climin - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others. Allen Downey’s Data Science Course - Code for Data Science at …

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      Introduction to Jupyter Notebook, arrays and indexes. Outcome: relevant particularly for Monte-Carlo in Credit Spread and Interest Rate topics. Data Analytics Level I on Python for quant nance, data structures (Dataframe), NumPy for Numerical Analysis, Pandas for Financial Time Series Anal- ysis, data visualization.

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      Next, we wrote a Python script to manipulate the data into deliverables that were in turn fed into the stock analysis formula. Using the Pandas library [4], we read in stockReturn.csv and dataBreachesActive.csv as Pandas DataFrames. Next, we create two new attributes within the data breach DataFrame - StartDate and EndDate.

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      Fill in the blank with appropriate numpy method to convert array X from shape 6 to shape 2X3. import numpy as np ... _ method in Pandas can be used to change the label of rows and columns of a Series or Dataframe : replace() rename() reindex() none of the above ... Consider the following DataFrame. import pandas as pd. import numpy as np. d1 ...

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      Fill in the blank with appropriate numpy method to convert array X from shape 6 to shape 2X3. import numpy as np ... _ method in Pandas can be used to change the label of rows and columns of a Series or Dataframe : replace() rename() reindex() none of the above ... Consider the following DataFrame. import pandas as pd. import numpy as np. d1 ...

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