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- Q3- What is the memory content for the following data section variables? L1 db OAAh, 0BBH L2 dw OCCDDH L3 db 0EEh, OFFH L1 L2 L3Q3:Create a series called 'directors' that contains each director's name and his or her average rating. Print out the type of your variable. Q4:Select the non-USA movies made after 1960 by Hayao Miyazaki.Save the result in a DataFrame called 'miyazaki', then print it. Here are the steps:1. Query the data ('df' DataFrame) based on the following conditions:- Non-USA movies (country_id != 1)- Movies made after 1960 (title_year > 1960)- Movies made by director Hayao Miyazaki (director_id == 46)2. Save the filtered data in a DataFrame called 'miyazaki' and print it Q5:Create a Pivot Table that shows the median rating for each director, grouped by their respective countries. Name your variable'pivot_agg' Q6:How long did the movie Gladiator aim to keep your attention? Save the series with this informationin a variable called 'gladiator_duration', then print it.15. Suppose that Column B contains 100 observations of a string variable. Which of the following is therefore true? a. The command =AVERAGE(B2:B101)/100 will return the average value of this variable. b. The "COUNTIF" command cannot be applied to the data in this column. C. The "MODE" command can be applied to the data in this column. d. The "MEDIAN" command cannot be applied to the data in this column.
- If the sentence is true, write T; if it is wrong, write F; and correct the false sentence. Only five of the following questions must be answered. To add a plot to an existing plot, use the get() commandWhat does the following command do? $ mkdir dir dir/dir_01/dir_02* :In Matlab the command logical of (and) is represented by No one of them and Which of the following command is true to represent the following polynomial equation: y=8-3x y=[8 ;-3] O y=[8 -3] O y=l-3 8] O y=[8 :-3] O *:The name MATLAB is Mathmatic Lab Mathmatic Labortary No one of them Matrix Labortary
- Suppose the contents of first three rows of my dataframe df are as follows: sepal_length sepal_width petal_length petal_width Туре 5.1 0.2 Iris-setosa 3.5 1.4 49 3.0 1.4 0.2 Iris-setosa 4.7 3.2 1.3 0.2 Iris-setosa Then which of the following statements will delete the first column 'sepal length" of the df? O a. df.delete(["sepal_length"], axis=1, inplace=True) O b. df.delete(["sepal_length"], axis=1) O . df.drop(["sepal_length"], axis=1) O d. df.drop(["sepal_length"], axis=1, inplace=True)Please modify the code below for "Current Date" ********************************************************************** from pandas_datareader import data as pdrimport yfinance as yfin # Work around until# pandas_datareader is fixed.import datetimeimport pandas as pdimport matplotlib.pyplot as pltimport numpy as np# Show all columns.pd.set_option('display.max_columns', None)pd.set_option('display.width', 1000)def getStock(stk, numDays):print(stk)# Only gets up until day before during# trading hoursdt = datetime.date.today()# For some reason, must add 1 day to get current stock prices# during trade hours. (Prices are about 15 min behind actual prices.)dtNow = dt + datetime.timedelta(days=1)dtNowStr = dtNow.strftime("%Y-%m-%d")dtPast = dt + datetime.timedelta(days=-numDays)dtPastStr = dtPast.strftime("%Y-%m-%d")yfin.pdr_override()df = pdr.get_data_yahoo(stk, start=dtPastStr, end=dtNowStr)return df################################################################### CONFIGURATION…In the format of fprintf command %-3.2f, the symbol (3) is used to: a. Control the length of the number, b. Assure the left alignment of the number, c. Control the number of digits after the decimal, d. Control the type of the number (double, float, .)
- Make an application that allows users to make educated guesses about computer-generated random numbers ranging from 1 to the maximum (users should choose the maximum figure to predict). In this application, the user will enter maximum, and the syscall service 42 will generate a random integer between 1 and maximum. The user will next provide guesses, and if any of the guesses is too high or too low, the application should give back the findings until the user provides the correct guess. The application should print out the number of guesses the user made.You are given 2 text files named drywet.txt and wetwet.txt. wetwet.txt data file refers to the probability of next day being a wet day if the current day is wet. drywet.txt data file refers to the probability of next day being a wet day if the current day is dry. NOTE: the data for the same location in wetwet.txt and drywet.txt will have the same line number. These files are in the format of: (excerpt from wetwet.txt)-97.58 26.02 0.76 0.75 0.77 0.74 0.80 0.86 0.94 0.97 0.89 0.77 0.74 0.77 -97.19 26.03 0.73 0.76 0.75 0.71 0.79 0.85 0.92 0.95 0.90 0.81 0.76 0.75 -98.75 26.35 0.74 0.76 0.76 0.73 0.67 0.84 0.83 0.85 0.80 0.71 0.71 0.76 … In each line, the first and second numbers represent the location’s longitude and latitude. The following 12 numbers represent the probability of the next day being a wet day of the month. For example, on the first line of the excerpt above 0.75 means that in February (4th column), there is a 75% of chance that the next day is a wet day if today is a wet…Q5:Save all of this director's movies and their ratings in a variable called all_movies_ratings, then print this variable.(The director with the most movies you got from the last question.) # your code here Q6:Recommend a **random** movie that has a rating of over 8.3. Store the random recommendation in a variable called "rand_goodmovie".What is the title and imdb_score of your recommendation? Here are the steps:1. Query the data ('df' DataFrame) for movies with a rating over 8.3 (imdb_score > 8.3)2. Create a random integer index location to get a single movie recommendation3. Save the random movie recommendation in a DataFrame called 'rand_goodmovie'4. Save the title of the random movie recommendation in a variable "random_title" and print it5. Save the imdb_score of the random movie recommendation in a variable "random_imdb_score" and print it # Do not modify this part, it's needed for gradingimport randomrandom.seed(0) # your code here
