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(1 mark for correct answer) Sumit wants to create a numpy array having 2 rows and 4 columns filled with all 1s. Fill in the blanks with appropriate data to create the required array: import numpy as np. np.ones ([2,4]) (1 mark for correctly filling the blanks) Statement 1 : pl.plot(roll_no, marks) Statement 1 : pl.xlabel(“Roll Number”) Or
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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) 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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How to Create Pandas DataFrame in Python - Data to Fish
Write a Python code to create an empty dataframe. Ans: import pandas as pd. df=pd.DataFrame() print(df) 33. Write the command using Insert() function to add a new column in the last place(3rd place) named “Salary” from the list Sal=[10000,15000,20000] in an existing data frame named EMP already having 2 columns.
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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.
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Create the following two tables using this DataFrame. Table 3 = Compute the average % of veterans for each state sorted from largest to smallest. You should use …
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Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the category and print the total …
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Write code to create an ndarray having 9 ones in it. Write statements to change 4th and 8th elements of this array to 5 and 87 ... 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 _____# To Calculate mean() ...
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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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Slice the needed dataframe columns (from step-1) and apply summarization functions one at a time using ‘groupby’ pandas method. Pass the indexes as a list to the groupby function. For eg: if count, sum and weighted average are values to be calculated - create a data type of dtype for each of the 3 …
python create empty data frame

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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). Then display only those elements of this two –dimensional array which are divisible by 5.
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Create dataframe python