append ( dict ( xref = 'paper', yref = 'paper', x = 0.0, y = 1.05, xanchor = 'left', yanchor = 'bottom', text = 'Main Source for News', font = dict ( family = 'Arial', size = 30, color = 'rgb(37,37,37)' ), showarrow = False )) # Source annotations. format ( y_trace ), font = dict ( family = 'Arial', size = 16 ), showarrow = False )) # Title annotations. append ( dict ( xref = 'paper', x = 0.05, y = y_trace, xanchor = 'right', yanchor = 'middle', text = label + ' %'. #XLINE MATLAB ZIP#update_layout ( xaxis = dict ( showline = True, showgrid = False, showticklabels = True, linecolor = 'rgb(204, 204, 204)', linewidth = 2, ticks = 'outside', tickfont = dict ( family = 'Arial', size = 12, color = 'rgb(82, 82, 82)', ), ), yaxis = dict ( showgrid = False, zeroline = False, showline = False, showticklabels = False, ), autosize = False, margin = dict ( autoexpand = False, l = 100, r = 20, t = 110, ), showlegend = False, plot_bgcolor = 'white' ) annotations = # Adding labels for y_trace, label, color in zip ( y_data, labels, colors ): # labeling the left_side of the plot annotations. Scatter ( x =, x_data ], y =, y_data ], mode = 'markers', marker = dict ( color = colors, size = mode_size ) )) fig. Scatter ( x = x_data, y = y_data, mode = 'lines', name = labels, line = dict ( color = colors, width = line_size ), connectgaps = True, )) # endpoints fig. Import aph_objects as go import numpy as np title = 'Main Source for News' labels = colors = mode_size = line_size = x_data = np. update_layout ( title = 'Average High and Low Temperatures in New York', xaxis_title = 'Month', yaxis_title = 'Temperature (degrees F)' ) fig. Scatter ( x = month, y = low_2000, name = 'Low 2000', line = dict ( color = 'royalblue', width = 4, dash = 'dot' ))) # Edit the layout fig. Scatter ( x = month, y = high_2000, name = 'High 2000', line = dict ( color = 'firebrick', width = 4, dash = 'dot' ))) fig. Scatter ( x = month, y = low_2007, name = 'Low 2007', line = dict ( color = 'royalblue', width = 4, dash = 'dash' ))) fig. Scatter ( x = month, y = high_2007, name = 'High 2007', line = dict ( color = 'firebrick', width = 4, dash = 'dash' ) # dash options include 'dash', 'dot', and 'dashdot' )) fig. Scatter ( x = month, y = low_2014, name = 'Low 2014', line = dict ( color = 'royalblue', width = 4 ))) fig. Scatter ( x = month, y = high_2014, name = 'High 2014', line = dict ( color = 'firebrick', width = 4 ))) fig. Here we discuss the algorithm to implement LineWidth command in Matlab along with the examples and outputs.Import aph_objects as go # Add data month = high_2000 = low_2000 = high_2007 = low_2007 = high_2014 = low_2014 = fig = go. along with thickness we can change the color of width and pattern of width. line width is basically used to increase the thickness of width line. If the output of the program is a specific object then line width plays an important role, it gives proper view to object. otherwise default color is blue like previous examples. Line width is 8 and the color of width is red which we need to declare in program. In this example, the output is one object which is a rectangle. Here line width is 8 and the pattern is dash lines. And the second input is the cosine signal with respect to the first input. In this example, the first input is a range of values from 0 to 100 with the step of 11. The difference between the previous examples and this example is the pattern of width. Here the values of first input are range between 0 to 100 with a step of 10 and the values of second input are sine function. Let us consider two inputs as xaxis and yaxis. Here values of first input are 0, 2, 6, 1 0, 1 3, 1 5 and values of second input are 2, 4, 5, 2, 5, 3. Here the values of first input are 5, 2, 6,1,4 and values of second input are 2,4,5,7,8. Let us consider two inputs as x-axis and y-axis. Here are the examples of Matlab LineWidth mention below Example #1
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