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python 30 points) hi.py - experimenting with hierarchical indexing and leveling. a. (5 points) Take the number of index levels, num_li, and the number of column levels, num_lc, from the user. Take num_li strings, each representing labels in each index level starting from 0. Take num_lc strings, each representing labels in each column level starting from 0 . The strings contain labels (which are also strings) separated by a space. For example, if one of the input strings is "foo bar baz", it means that there are three labels: "foo", "bar", and "baz" at that level. b. (5 points) Create a DataFrame named df with num_li levels of index and num_lc levels of column, and the labels in each level of index and column are as specified by the input strings. Fill df with integers starting from 0 as shown in the example below. Print df. Suppose that the values of num_li and num_lc are 2, the strings for index labels are "white white red red" and "up down up down", and the strings for column labels are "pen pen paper paper" and "1 212 ", then the value of df should look like this: c. (10 points) Print the sum of values in each index level (starting from 0) and print the sum of values in each column level (starting from 0 ) in df. Also, before each result, print which index/column level you are doing the summation. d. (10 points) Convert df to a Series and print the Series. Hint 4: you can use the function type() to make sure that the resulting object that you convert to is indeed a Series..

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In BC’s nearly-decade-old “new” curriculum, the curricular competencies describe the processes that students are expected to develop in areas of learning such as mathematics. They reflect the “Do” in the “Know-Do-Understand” model. Under the “Communicating” header falls the curricular competency “Explain and justify mathematical ideas and decisions.” Note that it contains two processes: “Explain mathematical ideas” and “Justify mathematical decisions.” I have broken it down into its separate parts in order to understand--or reveal--its meaning. The first part is commonplace in classrooms. By now, BC math teachers—and students—understand that “Explain mathematical ideas” means more than “Show your work.” Teachers consistently ask “What did you do?” and “How do you know?” This process is about retelling, not just of steps but of thinking. The second part happens less frequently. Think back to the last time that you observed a student make—a necessary precursor to justify—a mathematical decision. “Justify” is about defending. Like “explain,” it involves reasoning; unlike “explain,” it also involves opinion and debate. In order to reinterpret the curricular competency “Explain and justify mathematical ideas and decisions,” I will continue to take apart its constituent part “Justify mathematical decisions” and carefully examine the term “mathematical decisions.” What, exactly, is a “mathematical decision”? Below, I will categorize answers to this question. These categories, and the provided examples, may help to suggest new opportunities for students to justify.

Making and Justifying Mathematical Decisions.pdf

Chris Hunter

fourth grading exam for kindergarten in writing

TeacherCyreneCayanan

Unit-IV- Pharma. Marketing Channels.pptx

VishalSingh1417

python 30 points) hi.py - experimenting with hierarchical indexing a.pdf

1. python 30 points) hi.py - experimenting with hierarchical indexing and leveling. a. (5 points) Take the number of index levels, num_li, and the number of column levels, num_lc, from the user. Take num_li strings, each representing labels in each index level starting from 0. Take num_lc strings, each representing labels in each column level starting from 0 . The strings contain labels (which are also strings) separated by a space. For example, if one of the input strings is "foo bar baz", it means that there are three labels: "foo", "bar", and "baz" at that level. b. (5 points) Create a DataFrame named df with num_li levels of index and num_lc levels of column, and the labels in each level of index and column are as specified by the input strings. Fill df with integers starting from 0 as shown in the example below. Print df. Suppose that the values of num_li and num_lc are 2, the strings for index labels are "white white red red" and "up down up down", and the strings for column labels are "pen pen paper paper" and "1 212 ", then the value of df should look like this: c. (10 points) Print the sum of values in each index level (starting from 0) and print the sum of values in each column level (starting from 0 ) in df. Also, before each result, print which index/column level you are doing the summation. d. (10 points) Convert df to a Series and print the Series. Hint 4: you can use the function type() to make sure that the resulting object that you convert to is indeed a Series.

python 30 points) hi.py - experimenting with hierarchical indexing a.pdf

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python 30 points) hi.py - experimenting with hierarchical indexing a.pdf