Four key statistical libraries in Python statsmodels is a Python library to explore data, perform statistical tests, and estimate statistical models Normal distribution test with Q-Q plots While there are many robust statistical tests for normal distributions, an intuitive visual method is known as a quantile-quantile plot (Q-Q plot). If a sample is normally distributed,…
Creating figures and subplots Defining figures’ subplots Adds a subplot Plotting in subplots The sharex= parameter can be passed when creating subplots to specify that all the subplots should share the same x axis. Enriching plots with colors, markers, and line styles The code block that follows plots four different functions and uses the following…
The name pandas is derived from panel data, an econometrics term for a multidimensional structured dataset. Introducing pandas Series, pandas DataFrames, and pandas Indexes pandas.Series The pandas.Series data structure represents a one-dimensional series of homogeneous values (integer values, string values, double values, and so on). Series are a type of list and can contain only…
Creating NumPy ndarrays Creating 1D ndarrays Inspect the type of the array Creating 2D ndarrays Creating any-dimension ndarrays Creating an ndarray with np.zeros(…) Creates an ndarray populated with all 0s Creating an ndarray with np.ones(…) Each value is assigned a value of 1 Creating an ndarray with np.identity(…) Creating an ndarray with np.arange(…) Creating an…
In some python scripts, you may see a function definition and a conditional statement that looks like the example below: In this code, there is a function called main() that prints the phrase “Hello World!” when the Python interpreter executes it. There is also a conditional (or if) statement that checks the value of __name__…
You want to find out which fraction of your car’s use is for commuting to work, and which is for personal use. You know the one-way distance from your home to work. For a particular period, you recorded the beginning and ending mileage on the odometer and the number of work days. Write an algorithm…
You want to decide whether you should drive your car to work or take the train. You know the one-way distance from your home to your place of work, and the fuel efficiency of your car (in miles per gallon). You also know the one-way price of a train ticket. You assume the cost of…
In order to estimate the cost of painting a house, a painter needs to know the surface area of the exterior. Develop an algorithm for computing that value. Your inputs are the width, length, and height of the house, the number of windows and doors, and their dimensions. (Assume the windows and doors have a…
Write an algorithm to settle the following question: A bank account starts out with $10,000. Interest is compounded monthly at 0.5 per cent per month. Every month, $500 is withdrawn to meet college expenses. After how many years is the account depleted? State the current bank statement total is $10,000 State the monthly rate is…
A virtual environment is created on top of an existing Python installation, known as the virtual environment’s “base” Python. It may optionally be isolated from the packages in the base environment, so only those explicitly installed in the virtual environment are available. A virtual environment is Running this command creates the target directory Command to…