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Python Articles
Page 535 of 852
How to center labels in a Matplotlib histogram plot?
To place the labels at the center in a histogram plot, we can calculate the mid-point of each patch and place the ticklabels accordinly using xticks() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a random standard sample data, x.Initialize a variable for number of bins.Use hist() method to make a histogram plot.Calculate the list of ticks at the center of each patch.Make a list of tickslabels.Use xticks() method to place xticks and labels.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = ...
Read MoreHow to extract data from a Matplotlib plot?
To extract data from a plot in matplotlib, we can use get_xdata() and get_ydata() methods.StepsSet the figure size and adjust the padding between and around the subplots.Create y data points using numpy.Plot y data points with color=red and linewidth=5.Print a statment for data extraction.Use get_xdata() and get_ydata() methods to extract the data from the plot (step 3).Print x and y data (Step 5).To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True y = np.array([1, 3, 2, 5, 2, 3, 1]) curve, = plt.plot(y, c='red', lw=5) print("Extracting ...
Read MoreShow tick labels when sharing an axis in Matplotlib
To show the tick labels when sharing an axis, we can just use the subplot() method with sharey argument. By default, y ticklabels could be visible.StepsSet the figure size and adjust the padding between and around the subplots.Add a subplot to the current figure using subplot() method, where nrows=1, ncols=2 and index=1 for axis ax1.Plot a line on the axis 1.Add a subplot to the current figure, using subplot() method, where nrows=1, ncols=2 and index=2 for axis ax2.Plot a line on the axis 2.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] ...
Read MoreHow to plot complex numbers (Argand Diagram) using Matplotlib?
To plot complex numbers using matplotlib, we can make a dataset with complex numbers.StepsSet the figure size and adjust the padding between and around the subplots.Create random complex numbers.Create a figure and a set of subplots using subplots() method.Plot the scatter points using scatter() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rand(10) + 1j*np.random.rand(10) fig, ax = plt.subplots() ax.scatter(data.real, data.imag, c=data.real, cmap="RdYlBu_r") plt.show()Output
Read MorePlotting multiple line graphs using Pandas and Matplotlib
To plot multiple line graphs using Pandas and Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a 2D potentially heterogeneous tabular data using Pandas DataFrame class, where the column are x, y and equation.Get the reshaped dataframe organized by the given index such as x, equation, and y.Use the plot() method to plot the lines.To display the figure, use show() method.Exampleimport pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame([ ["y=x^3", 0, 0], ["y=x^3", 1, 1], ...
Read MoreProgram to find longest nice substring using Python
Suppose we have a string s. We have to find longest nice substring of s. For a string s, it will be said to nice when, for every letter of the alphabet in s, it appears in uppercase and lowercase both. If there are multiple such substring, then return the substring of the earliest occurrence.So, if the input is like s = "ZbybBbz", then the output will be "bBb" as this contains lowercase and uppercase B's.To solve this, we will follow these steps −cur_max:= -1res:= blank stringfor i in range 0 to size of s, doc := s[i]upper := a ...
Read MoreProgram to merge strings alternately using Python
Suppose we have two strings s and t. We have to merge them by adding letters in alternating fashion, starting from s. If s and t are not of same length, add the extra letters onto the end of the merged string.So, if the input is like s = "major" t = "general", then the output will be "mgaejnoerral", as t is larger than s, so we have added extra part "ral" at the end.To solve this, we will follow these steps −i := j := 0result := blank stringwhile i < size of s and j < size of ...
Read MoreProgram to count items matching a rule using Python
Suppose we have an array nums, where each nums[i] contains three elements [type_i, color_i, name_i]. These are describing the type, color, and name of the ith item. We also have a rule represented by two other strings, ruleKey and ruleValue. Now we can say the ith item is matched the rule if one of the following is true −ruleKey = "type" and ruleValue = type_i.ruleKey = "color" and ruleValue = color_i.ruleKey = "name" and ruleValue = name_i.We have to find number of matching we can find.So, if the input is likeBikeblueElecBCarsilverSumoBikeblueTVSAnd ruleKey = "color", ruleValue = "blue", then the output ...
Read MoreProgram to find nearest point that has the same x or y coordinate using Python
Suppose we have a set of points given in an array called pts. We also have another point (x, y) which is our current location. We are defining a valid point as, a point which shares the same x-coordinate or the same y-coordinate as our current point. We have to return the index of the valid point with the smallest Manhattan distance from our current location (x, y). If there are more than one points, then return the valid point with the smallest index. (Note: the Manhattan distance between two points (a, b) and (p, q) is |a - p| ...
Read MoreProgram to check if binary string has at most one segment of ones or not using Python
Suppose we have a binary string s (without leading zeros), We have to check whether s contains at most one contiguous segment of ones or not.So, if the input is like s = "11100", then the output will be True as there is one segment of ones "111".To solve this, we will follow these steps −count := -1if size of s is same as 1, thenreturn Truefor each i in s, doif i is same as "1" and count > -1, thenreturn Falseotherwise when i is same as "0", thencount := count + 1return TrueLet us see the following implementation ...
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