import matplotlib.pyplot as plt
import numpy as np
random_data = np.random.randn(1000)
# Create a figure and a set of 4 subplots
fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(10, 10), dpi=200)
# Hexadecimal color codes
color = "#FF5733"
axs[0,0].hist(
random_data,
bins=30,
density=True,
color=color
)
axs[0,0].set_title(f"color = {color}")
# Pre-defined color names
color = "skyblue"
axs[0,1].hist(
random_data,
bins=30,
density=True,
color=color
)
axs[0,1].set_title(f"color = {color}")
# RGB tuple
color = (0.1, 0.2, 0.5)
axs[1,0].hist(
random_data,
bins=30,
density=True,
color=color
)
axs[1,0].set_title(f"color = {color}")
# RGBA tuple
color = (0.1, 0.2, 0.5, 0.4)
axs[1,1].hist(
random_data,
bins=30,
density=True,
color=color
)
axs[1,1].set_title(f"color = {color}")
plt.show()RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4