“Dostosuj kolorowe mapę macie MATPLOTLIB” Kod odpowiedzi

Dostosuj kolorowe mapę macie MATPLOTLIB

import matplotlib.pyplot as plt
import matplotlib
import seaborn as sns
from matplotlib.colors import LinearSegmentedColormap

matplotlib.style.use('ggplot')
from pandas import DataFrame

weather = ('Day', 'Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
colors = sns.color_palette("cubehelix", n_colors=len(weather))
cmap1 = LinearSegmentedColormap.from_list("my_colormap", colors)

data1 = [["M", 66386, 174296, 75131, 577908, 32015],
         ["T", 58230, 381139, 78045, 99308, 160454],
         ["W", 89135, 80552, 152558, 497981, 603535],
         ["T", 78415, 81858, 150656, 193263, 69638],
         ["F", 139361, 331509, 343164, 781380, 52269]]


df = DataFrame(data=data1)
df.columns = weather
df = df.set_index('Day')
df.plot(kind='bar', stacked=True, colormap=cmap1)
plt.show()