- i. Write a NumPy program to convert a list and tuple into arrays
ii. Write a NumPy program to convert the values of Centigrade degrees into Fahrenheit degrees and vice versa. Values have to be stored into a NumPy array.
i. Write a NumPy program to find the real and imaginary parts of an array of complex 2. numbers
ii. Write a NumPy program to convert a NumPy array into a csv file
- i. Write a NumPy program to perform the basic arithmetic operations
ii. Write a NumPy program to transpose an array
- i. Use NumPy. Create an array with 5 dimensions and verify that it has 5 dimensions.
ii. Using NumPy, Sort a boolean array
- i. Create your own simple Pandas DataFrame and print its values
ii. Create your own DataFrame from dict of narray/list
- i. Using Pandas, Create a DataFrame with a list of dictionaries, row indices, and column indices.
ii. Use index label to delete or drop rows from a Pandas DataFrame.
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Apply and explore various plotting functions on UCI data sets
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Compare the results of the Univariate and Bivariate analysis for the UCI diabetes data set
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Using Pandas library,
i.Load the iris.CSV file
ii. Convert it into the data frame and read it.
iii. Display records only with species "Iris-setosa".
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Use the diabetes data set from UCI, Perform Univariate analysis
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Use the diabetes data set from Pima Indians Diabetes, Perform Bivariate analysis.
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Perform Multiple Regression analysis on your own dataset (For example, Car dataset with information Company Name, Model, Volume, Weight, CO2) with more than one independent value to predict a value based on two or more variables.
ii. Using plt.contour(), plt.contourf(), plt.imshow(), plt.colorbar(), plt.clabel() functions visualize a contour plot
- Using the "concrete strength" dataset, explore relationships between two continuous
variables with Scatterplots
i. Draw a Scatter Plot for the following Pandas DataFrame with Team name and Rank
Points as x and y axis
["Australia", 2500],["Bangladesh", 1000],["England", 2000],['India", 3000],["Srilanka", 1500]
- Make a three-dimensional plot with randomly generate 50 data points for x, y, and z. Set
the point color as red, and size of the point as 50.
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How will you plot and visualize geographical data with the help of Basemap. State the Procedure for it with an example.
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Perform Reading data from text files, Excel and the web and exploring various commands for doing descriptive analytics on the Iris data set
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Perform Bivariate analysis using the pandas DataFrame that contains information about two variables: (1) Hours spent studying and (2) Exam score received by 20 different students: