plt.figure(figsize=(10,8))
plt.scatter(df['attacker_size'][df['year'] == 298],
# attacker size in year 298 as the y axis
df['defender_size'][df['year'] == 298],
# the marker as
marker='x',
# the color
color='b',
# the alpha
alpha=0.7,
# with size
s = 124,
# labelled this
label='Year 298')
In the above snippet of code collected from Scatterplot in Matplotlib, what is the necessity of plt.figure()?
link above ais dead , self sustaining example :
import matplotlib.pyplot as plt
import pandas as pd
data = {
"attacker_size": [420, 380, 390],
"defender_size": [50, 40, 45]
}
df = pd.DataFrame(data, index = ["day1", "day2", "day3"])
print(df)
plt.figure(figsize=(10,8))
plt.scatter(df['attacker_size'],
# attacker size in year 298 as the y axis
df['defender_size'],
# the marker as
marker='x',
# the color
color='b',
# the alpha
alpha=0.7,
# width size
s = 150,
# labelled this
label='Test')
The purpose of using plt.figure() is to create a figure object.
The whole figure is regarded as the figure object. It is necessary to explicitly use plt.figure() when we want to tweak the size of the figure and when we want to add multiple Axes objects in a single figure.
# in order to modify the size
fig = plt.figure(figsize=(12,8))
# adding multiple Axes objects
fig, ax_lst = plt.subplots(2, 2) # a figure with a 2x2 grid of Axes