Cara menggunakan print vertical line python

import 'package:flutter/material.dart'; void main() => runApp(const MyApp()); class MyApp extends StatelessWidget { const MyApp({super.key}); @override Widget build(BuildContext context) { const title = 'Horizontal List'; return MaterialApp( title: title, home: Scaffold( appBar: AppBar( title: const Text(title), ), body: Container( margin: const EdgeInsets.symmetric(vertical: 20.0), height: 200.0, child: ListView( // This next line does the trick. scrollDirection: Axis.horizontal, children:[ Container( width: 160.0, color: Colors.red, ), Container( width: 160.0, color: Colors.blue, ), Container( width: 160.0, color: Colors.green, ), Container( width: 160.0, color: Colors.yellow, ), Container( width: 160.0, color: Colors.orange, ), ], ), ), ), ); } }

Printing the list has been dealt many times. But sometimes we need a different format to get the output of list. This also has application in getting a transpose of matrix. Printing list vertically also has application in web development. Lets discuss certain ways in which this task can be achieved.

Table of Contents Show

Making a single vertical line
Plotting multiple lines with the legend

Method #1 : Using Naive Method The naive method can be used to print the list vertically vis. using the loops and printing each index element of each list successively will help us achieve this task.

Python3

# Python3 code to demonstrate

# Vertical list print

# using naive method

# initializing list

test_list

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is: [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is: [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is: [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is: [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is : [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is: [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

The original list is: [[1, 4, 5], [4, 6, 8], [8, 3, 10]]
1 4 8
4 6 3
5 8 10

Matplotlib is a popular python library used for plotting, It provides an object-oriented API to render GUI plots. Plotting a horizontal line is fairly simple, The following code shows how it can be done.

Making a single vertical line

Method #1: Using ()

This function adds the vertical lines across the axes of the plot

Syntax: matplotlib.pyplot.axvline(x, color, xmin, xmax, linestyle)
Parameters:
x: Position on X axis to plot the line, It accepts integers.
xmin and xmax: scalar, optional, default: 0/1. It plots the line in the given range
color: color for the line, It accepts a string. eg ‘r’ or ‘b’ .
linestyle: Specifies the type of line, It accepts a string. eg ‘-‘, ‘–‘, ‘-.’, ‘:’, ‘None’, ‘ ‘, ”, ‘solid’, ‘dashed’, ‘dashdot’, ‘dotted’

Python3

# importing the modules

import matplotlib.pyplot as plt

import numpy as np

# specifying the plot size

plt.figure(figsize= (10import0import1import2

import3

import4= import6import7= import9matplotlib.pyplot as plt0= matplotlib.pyplot as plt2matplotlib.pyplot as plt3

matplotlib.pyplot as plt4

matplotlib.pyplot as plt5

Output:

Method #2: Using vlines()

matplotlib.pyplot.vlines() is a function used in the plotting of a dataset. In matplotlib.pyplot.vlines(), vlines is the abbreviation for vertical lines. What this function does is very much clear from the expanded form, which says that function deals with the plotting of the vertical lines across the axes.

Syntax: vlines(x, ymin, ymax, colors, linestyles)
Parameters:
x: Position on X axis to plot the line, It accepts integers.
xmin and xmax: scalar, optional, default: 0/1. It plots the line in the given range
color: color for the line, It accepts a string. eg ‘r’ or ‘b’ .
linestyle: Specifies the type of line, It accepts a string. eg ‘-‘, ‘–‘, ‘-.’, ‘:’, ‘None’, ‘ ‘, ”, ‘solid’, ‘dashed’, ‘dashdot’, ‘dotted’

Python3

matplotlib.pyplot as plt6

import matplotlib.pyplot as plt

import numpy as np

import1

import2= import4import5import0import7import8

import9

plt.figure(figsize= (10import0import6import2

numpy as np7

numpy as np8= # specifying the plot size0# specifying the plot size1= # specifying the plot size3# specifying the plot size4= # specifying the plot size6# specifying the plot size7

# specifying the plot size8# specifying the plot size9= plt.figure(figsize1import0

# specifying the plot size8plt.figure(figsize4= plt.figure(figsize6matplotlib.pyplot as plt3

matplotlib.pyplot as plt5

Output:

Method #3: Using plot()

The plot() function in pyplot module of matplotlib library is used to make a 2D hexagonal binning plot of points x, y.

Syntax : plot(x_points, y_points, scaley = False)
Parameters:
x_points/y_points: points to plot
scalex/scaley: Bool, These parameters determine if the view limits are adapted to the data limits

Python3

plt.figure(figsize9

import matplotlib.pyplot as plt

import9

plt.figure(figsize= (10import0import1import2

(0

(1# specifying the plot size3import0# specifying the plot size3(5# specifying the plot size3import0import5(9= 101matplotlib.pyplot as plt3