line plot code example

Example 1: 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

Example 2: plotly line plot

import plotly.graph_objects as go
import numpy as np

x = np.array([1, 2, 3, 4, 5])
y = np.array([1, 3, 2, 3, 1])

fig = go.Figure()
fig.add_trace(go.Scatter(x=x, y=y, name="linear",
                    line_shape='linear'))
fig.add_trace(go.Scatter(x=x, y=y + 5, name="spline",
                    text=["tweak line smoothness<br>with 'smoothing' in line object"],
                    hoverinfo='text+name',
                    line_shape='spline'))
fig.add_trace(go.Scatter(x=x, y=y + 10, name="vhv",
                    line_shape='vhv'))
fig.add_trace(go.Scatter(x=x, y=y + 15, name="hvh",
                    line_shape='hvh'))
fig.add_trace(go.Scatter(x=x, y=y + 20, name="vh",
                    line_shape='vh'))
fig.add_trace(go.Scatter(x=x, y=y + 25, name="hv",
                    line_shape='hv'))

fig.update_traces(hoverinfo='text+name', mode='lines+markers')
fig.update_layout(legend=dict(y=0.5, traceorder='reversed', font_size=16))

fig.show()

Example 3: 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()