matplotlib Basic Plots Scatter Plots

A simple scatter plot

``````import matplotlib.pyplot as plt

# Data
x = [43,76,34,63,56,82,87,55,64,87,95,23,14,65,67,25,23,85]
y = [34,45,34,23,43,76,26,18,24,74,23,56,23,23,34,56,32,23]

fig, ax = plt.subplots(1, figsize=(10, 6))
fig.suptitle('Example Of Scatterplot')

# Create the Scatter Plot
ax.scatter(x, y,
color="blue",    # Color of the dots
s=100,           # Size of the dots
alpha=0.5,       # Alpha/transparency of the dots (1 is opaque, 0 is transparent)
linewidths=1)    # Size of edge around the dots

# Show the plot
plt.show()
``````

A Scatterplot with Labelled Points

``````import matplotlib.pyplot as plt

# Data
x = [21, 34, 44, 23]
y = [435, 334, 656, 1999]
labels = ["alice", "bob", "charlie", "diane"]

# Create the figure and axes objects
fig, ax = plt.subplots(1, figsize=(10, 6))
fig.suptitle('Example Of Labelled Scatterpoints')

# Plot the scatter points
ax.scatter(x, y,
color="blue",  # Color of the dots
s=100,         # Size of the dots
alpha=0.5,     # Alpha of the dots
linewidths=1)  # Size of edge around the dots

# Add the participant names as text labels for each point
for x_pos, y_pos, label in zip(x, y, labels):
ax.annotate(label,             # The label for this point
xy=(x_pos, y_pos), # Position of the corresponding point
xytext=(7, 0),     # Offset text by 7 points to the right
textcoords='offset points', # tell it to use offset points
ha='left',         # Horizontally aligned to the left
va='center')       # Vertical alignment is centered

# Show the plot
plt.show()
``````