# python – How to plot one single data point?

## python – How to plot one single data point?

To plot a single point you can do something like this:

``````plt.plot([x], [y], marker=o, markersize=3, color=red)
``````

When plotting a single data point, you cannot plot using lines. This is obvious when you think about it, because when plotting lines you actually plot between data points, and so if you only have one data point then you have nothing to connect your line to.

You can plot single data points using markers though, these are typically plotted directly on the data point and so it doesnt matter if you have only one data point.

At the moment youre using

``````ax = point.plot(x=x, y=y, ax=ax, style=r-, label=point)
``````

to plot. This produces a red line (`r` for red, `-` for line). If you use the following code then youll get blue crosses (`b` for blue, `x` for a cross).

``````ax = point.plot(x=x, y=y, ax=ax, style=bx, label=point)
``````

`pandas` uses `matplotlib` internally for plotting, you can find the various style arguments in the tables here. To choose between the different styles (if, for example, you didnt want markers when you have multiple data points) then you could just check the length of the dataset and then use the appropriate style.

#### python – How to plot one single data point?

Another issue that exists when using the `.plot(..)` method is that the legend is displayed with lines and not dots.
To fix this issue, I would recommend to use `plt.scatter(..)` as such:

``````df = pd.DataFrame({x: [1, 2, 3], y: [3, 4, 6]})
point = pd.DataFrame({x: , y: })

fig, axes = plt.subplots(1, 2, figsize=(20, 5))

# OP VERSION
df.plot(x, y, ax=axes, label=line)
point.plot(x, y, ax=axes, style=r-, label=point)

# MY VERSION
df.plot(x, y, ax=axes, label=line)
axes.scatter(point[x], point[y], marker=o, color=r, label=point)
axes.legend(loc=upper left)
``````

I obtain this result, with on the left, OPs method, and on the right, my method: 