Pandas dataframe convert dtype

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  Write python statement to create a one –dimensional array using arrange() function .Elements will be in the range 10 to 30 with a step of 4 (including both 10 and 30).

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  Write a Pandas program to select the name of persons whose height is between 5 to 5.5 (both values inclusive)

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  Convert each of the dtype to multi-index dataframe as below. The new dataframes should align with the dataframe (2) indexes/levels. Get the index values for each of the levels and then form a tuple using zip method. Pass the tuple list to MultiIndex.from_tuples pandas method and build the index/dataframes

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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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  Consider the following DataFrame. import pandas as pd. import numpy as np. d1={'Sal':[50000,60000,55000],'bonus':[3000,4000,5000]} df1=pd.DataFrame(d1)

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