How do you plot a single value in python?

To plot one single data point in matplotlib, we can take the following steps −

• Initialize a list for x and y, with a single value.

• Limit x and y axis range for 0 to 5.

• Lay out a grid in current line style.

• Plot given x and y using plot() method, with marker="o", markeredgecolor="red", markerfacecolor="green".

• To display the figure, use show() method.

Example

from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
x = [4]
y = [3]
plt.xlim(0, 5)
plt.ylim(0, 5)
plt.grid()
plt.plot(x, y, marker="o", markersize=20, markeredgecolor="red",
markerfacecolor="green")
plt.show()

Output

Updated on 06-May-2021 13:35:43

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• matplotlib.pyplot.plot and matplotlib.axes.Axes.plot plots y versus x as lines and/or markers.
• ax.plot(105, 200) attempts to draw a line, but two points are required for a line
  • plt.plot([105, 110], [200, 210])
• A third positional argument consists of line type, color, and/or marker
  • 'o' can be used to only draw a marker.
    • Specifying marker='o' does not work the same as the positional argument.
  • 'ro' specifies color and marker, respectively
  • '-o' or '-ro' will draw a line and marker if two or more x and y values are provided.
• matplotlib.pyplot.scatter and matplotlib.axes.Axes.scatter can also be used to add single or multiple points
• Tested in python 3.10, matplotlib 3.5.1, seaborn 0.11.2

import matplotlib.pyplot as plt

fig, ax = plt.subplots(3, 1, figsize=(8, 10))

# single point
ax[0].plot(105, 110, '-ro', label='line & marker - no line because only 1 point')
ax[0].plot(200, 210, 'go', label='marker only')  # use this to plot a single point
ax[0].plot(160, 160, label='no marker - default line - not displayed- like OP')
ax[0].set(title='Markers - 1 point')
ax[0].legend()

# two points
ax[1].plot([105, 110], [200, 210], '-ro', label='line & marker')
ax[1].plot([105, 110], [195, 205], 'go', label='marker only')
ax[1].plot([105, 110], [190, 200], label='no marker - default line')
ax[1].set(title='Line & Markers - 2 points')
ax[1].legend()

# scatter plot
ax[2].scatter(x=105, y=110, c='r', label='One Point')  # use this to plot a single point
ax[2].scatter(x=[80, 85, 90], y=[85, 90, 95], c='g', label='Multiple Points')
ax[2].set(title='Single or Multiple Points with using .scatter')
ax[2].legend()

fig.tight_layout()

Seaborn

• seaborn is a high-level api for matplotlib, and offers additional options for plotting single points.
• sns.lineplot and sns.scatterplot are axes-level plots.
  • sns.lineplot has keyword arguments, which are passed to matplotlib.axes.Axes.plot
  • sns.scatterplot has keyword arguments, which are passed to matplotlib.axes.Axes.scatter
• sns.relplot is a figure-level plot, with a kind= parameter.
  • kind='line' passes to sns.lineplot
  • kind='scatter' passes to sns.scatterplot
• x= and y= must be passed as a vector in the following cases.

axes-level plots

sns.lineplot(x=[1], y=[1], marker='o', markersize=10, color='r')

sns.scatterplot(x=[1], y=[1], s=100, color='r')

figure-level plots

sns.relplot(kind='line', x=[1], y=[1], marker='o', markersize=10, color='r')

sns.relplot(kind='scatter', x=[1], y=[1], s=100, color='r')

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