Keep columns pandas dataframe

    • [DOCX File]COMPUTING SUBJECT:

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      Keep columns: keptColumns=trainingSet.columns. keptColumns. Step 3: Perform data cleaning. Create simple imputer in order to clean data: imputer = SimpleImputer(strategy="median") imputer.fit(trainingSet) cleanedData=imputer.transform(trainingSet) cleanedData. Note what happened! Establish cleaned dataset as a Dataframe:

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      Write a program to create a dataframe from list of dictionaries, to store marks of 2 subjects for five students and find the total mark. import pandas as pd l=[]

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      2. Python | Pandas DataFrame. Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns.

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      1. a) Predict the out put of the following code x=np.array([1,2,3]) g=np.array([[9,8,7],[6,5,4]]) r=np.vstack([x,g]) print(r) 2. b) Given a List L=[3,4,5] and an ndarray N having elements 3,4,5.

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      Write a Pandas program to compare the elements of the two Pandas Series?? ... Create the above dataframe and write the statement for the following: Find total sales per state (ii) find total sales per employee ... Keep the marker style as square. 23.Consider the table given below and write the query for the following. Table: CLUB ...

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      First data is loaded into the Pandas dataframe. Then a short feature engineering step is accomplished to break down the timestamps of each data point into minutes, hours, days of the week, and months. Before the model can be utilized features are scaled and sequences are created. Each sequence contains 10 data steps from the history.

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      Often, you must define the response categories that represent missing data. For example, if the number 9 is used to represent a missing value, you must either designate in your pr

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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.

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