Change list to dataframe python
Easy and quick approach to develop complex pivot table ...
The new dataframe should align with the dataframe (3) 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. Concatenate the newly formed dataframes to dataframe (2) to form a consolidated dataframe (9) Sort ...
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In real life data projects, we usually don’t store all the data in one big data table. We store it in a few smaller ones instead. There are many reasons behind this; by using multiple data tables, it’s easier to manage your data, it’s easier to avoid redundancy, you can save some disk space, you can query the smaller tables faster, etc.
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Q.4 Why does python change the datatype of a column as soon as it stores an empty value(NaN) even though it has all other values stored as integer. Q.5 Write code statements to list the following, from a dataframe namely sales. (a) List only columns Ítem’ and ‘Revenue’. (b) List rows from 3 to 7. ...
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Q.4 Why does python change the datatype of a column as soon as it stores an empty value(NaN) even though it has all other values stored as integer. Q.5 Write code statements to list the following, from a dataframe namely sales. (a) List only columns Ítem’ and ‘Revenue’. (b) List rows from 3 to 7.
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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). Reshape this one-dimensional array to two dimensional array of shape(2,3).
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(ii)Write the python code to read the contents of “first.csv” file consisting of data from a mysql table and print data of table on the screen in tabular form of table. Ans.import mysql.connector Mydb=mysql.connector.connect(host=”localhost”,user=”root”,passwd=”123”,
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Write statements to change 4th and 8th elements of this array to 5 and 87. 2. g) ... df1=pd.DataFrame(d1) Write the python statement using suitable functions among (apply/ apply_map / sum() / mean() _____#To calculate square root of each element . of data frame ...
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Write a python code to create a dataframe using Series() function with appropriate headings such as Rollno, name and percentage from the list given below: [ 101,’Rajesh’, 75 ] …
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Write statements to change 4th and 8th elements of this array to 5 and 87. 2. 1 mark for creation of array with 9 ones. ½ mark each for updating values. import numpy as np. ... df1=pd.DataFrame(d1) Write the python statement using suitable functions among (apply/ apply_map / sum() / mean()
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