Create dataframe with column name
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Each column has a column name, and unlike in arrays the columns do not necessarily have to be all of the same data type. We can refer to any one column within a dataframe by using the $ between the dataframe name and the column name like so:
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Write a NumPy program to create a 3x3 matrix with values ranging from 2 to 10. Write a NumPy program to create a one dimensional array with 8 equal spaced values between 4 and 5. Write a program to create a 3X4 matrix having all values as zeros.
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4. Which code is correct to find the transpose of a Dataframe i.e. df :- (i). df.trans() (ii). df.T (iii) df.transpose() (iv) df.transp() Ans: (ii). df.T. 5. 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:
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However, note that the column names is correct for x2 but for the other 2 columns R simply give a generic vector name: V2 and V3 in this case. Here is a simple method to remedy that: create a new R object Y containing the new data frame and then change the name of the column names:
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pivot() is used for pivoting without aggregation. Therefor, it can’t deal with duplicate values for one index/column pair. pivot_table is a generalization of pivot that can handle duplicate values for one pivoted index/column pair. Specifically, you can give pivot_table a list of aggregation functions using keyword argument aggfunc.
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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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