Posts (page 33)
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4 min readTo control the float number precision in SymPy, you can use the mpmath library which is integrated with SymPy. You can change the precision by setting the mp.dps attribute to the desired number of decimal places. For example, to set the precision to 10 decimal places, you can use mp.dps = 10. This will affect all floating point calculations in SymPy. Additionally, you can use the evalf() method with the n argument to specify the number of decimal places you want for a specific calculation.
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3 min readTo list all SymPy symbols, you can use the sympy.symbols() function which allows you to create symbols in bulk. For example, you can use sympy.symbols('x y z') to create symbols x, y, and z. If you want to list all the created symbols, you can use the symbols() function without any arguments to return a list of all symbols that have been defined. This will give you a list of all the symbols that you have created using the SymPy library.
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3 min readTo change a real symbol to a complex symbol in SymPy, you can use the I symbol to represent the imaginary unit. For example, if you have a real symbol x, you can create a complex symbol z by assigning it as z = x + I*y where y is another real symbol. This will make z a complex symbol with both real and imaginary parts. You can then perform operations with this complex symbol in SymPy as needed.
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4 min readTo define a function by parts using the sympy library in Python, you can use the Piecewise function. This function allows you to define different expressions for different parts of the function's domain.
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5 min readTo integrate a max function using Sympy in Python, you can use the Piecewise function to define the max function as a piecewise function. This allows you to express the max function as a combination of different functions over different intervals. Then you can use the integrate function from Sympy to integrate the max function over a specific range. The integrate function will handle the integration of the piecewise function and give you the result.
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5 min readTo convert a Python list into a SymPy Add class, you can first create a SymPy symbol or constant for each element in the list. Then, you can use the Add function from the SymPy library to add these symbols or constants together to create your desired expression. This will allow you to manipulate the expression further using SymPy's powerful algebraic capabilities.[rating:b1c44d88-9206-437e-9aff-ba3e2c424e8f]What tools can assist in the conversion of a Python list to a sympy add class.
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5 min readTo remove the "o()" term in a series from SymPy, you can use the removeO() function. This function helps to simplify and clean up the series representation by removing the terms with the order of the specified variable. For example, if you have a series expression like series = x + x2 + O(x3), you can remove the "o()" term by calling the removeO() function on the series object: series.removeO(). This will give you a simplified expression without the higher order terms.
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4 min readTo make axes be the right length in a plot of sympy, you can adjust the range of the axes by setting the xmin, xmax, ymin, and ymax values when creating the plot. This will ensure that the axes are of the desired length and scale. Additionally, you can also adjust the size of the plot itself to make sure that the axes are visually balanced and properly sized. By customizing the axis range and plot size, you can create a plot with axes that are the right length for your specific needs.
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4 min readTo check if a sympy function is odd, you can use the is_odd method in sympy. This method can be called on a sympy function to determine if it is an odd function. An odd function is a function f(x) that satisfies the property f(-x) = -f(x) for all x in the domain of the function. If the is_odd method returns True for a sympy function, then it is an odd function. If it returns False, then the function is not odd. This is a useful tool for analyzing the symmetry properties of functions in sympy.
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4 min readTo calculate a scalar product in a sympy vector, you can use the dot() method. This method takes two vectors as input and returns the scalar product of those vectors. Here's an example code snippet to illustrate how to calculate the scalar product: from sympy import Matrix # Define two vectors vector1 = Matrix([1, 2, 3]) vector2 = Matrix([4, 5, 6]) # Calculate the scalar product scalar_product = vector1.
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2 min readTo find the difference of x - y using SymPy, you can simply subtract y from x. This can be done by using the 'simplify' function in SymPy. Here is an example code in Python using SymPy: import sympy as sp x, y = sp.symbols('x y') difference = sp.simplify(x - y) print(difference) By running this code, you will get the difference of x - y using SymPy.[rating:b1c44d88-9206-437e-9aff-ba3e2c424e8f]How do I calculate x - y in sympy.
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3 min readTo check if an expression is a sympy vector, you can use the sympy.vector, module in SymPy. First, import sympy.vector module. Then, create a vector object using the CoordSys3D() function. Finally, check if the expression is an instance of the vector object using the isinstance() function. If the expression is an instance of the vector object, then it is a sympy vector.