Answers for "python plot line"

20

how to plot a graph using matplotlib

from matplotlib import pyplot as plt
plt.plot([0, 1, 2, 3, 4, 5], [0, 1, 4, 9, 16, 25])
plt.show()
Posted by: Guest on February-10-2020
1

how to plotting points on matplotlib

import matplotlib.pyplot as plt 
import numpy as np

data = np.random.rand(1024,2)
plt.scatter(data[:,0],data[:,1])
plt.show()
// Don't be
// fooled by this simplicity— plt.scatter() is a rich command.
Posted by: Guest on June-13-2020
10

matplotlib line plot

from matplotlib import pyplot as plt

# Median Developer Salaries by Age
dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]

dev_y = [38496, 42000, 46752, 49320, 53200,
         56000, 62316, 64928, 67317, 68748, 73752]

plt.plot(dev_x, dev_y)
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')
plt.show()

#Basic line graph using python module matplotlib
Posted by: Guest on October-15-2020
1

plotly line plot

import plotly.express as px

df = px.data.gapminder().query("continent=='Oceania'")
fig = px.line(df, x="year", y="lifeExp", color='country')
fig.show()
Posted by: Guest on October-13-2020
1

python matplotlib how to graph point on line

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim(0,10)
ax.set_ylim(0,10)

# draw lines
xmin = 1
xmax = 9
y = 5
height = 1
plt.hlines(y, xmin, xmax)
plt.vlines(xmin, y - height / 2., y + height / 2.)
plt.vlines(xmax, y - height / 2., y + height / 2.)
average = (xmax+xmin)/2

# draw a point on the line
px = 5 
plt.plot(px,y, 'ro', ms = 15, mfc = 'r')

# add an arrow
plt.annotate('Point', (px,y), xytext = (px+0.35, y+0.5), 
horizontalalignment='right')

# add numbers
plt.text(xmin - 0.1, y, 'Left', horizontalalignment='right')
plt.text(xmax + 0.1, y, 'Right', horizontalalignment='left')

plt.axis('off')
plt.show()
Posted by: Guest on August-06-2020
0

how do a plot on matplotlib python

import matplotlib.pyplot as plt
%matplotlib inline
plt.plot(data)
#this is not nessisary but makes your plot more readable
plt.ylabel('y axis means ...')
plt.xlabel('x axis means ...')
Posted by: Guest on June-29-2020

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