Jupyter Color Valure error
it shows ValueError: 'rgbwymc' is not a valid color value. Errro:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[49], line 8
6 df_used_cars
7 plt.figure(figsize = (9,6))
----> 8 plt.bar(x = df_used_cars["Brand"],
9 height = df_used_cars["Cars Listings"],
10 color = "rgbwymc")
11 plt.xticks(rotation = 45)
12 plt.show()
File D:\Programfiles\Anaconda\Lib\site-packages\matplotlib\pyplot.py:2439, in bar(x, height, width, bottom, align, data, **kwargs)
2435 @_copy_docstring_and_deprecators(Axes.bar)
2436 def bar(
2437 x, height, width=0.8, bottom=None, *, align='center',
2438 data=None, **kwargs):
-> 2439 return gca().bar(
2440 x, height, width=width, bottom=bottom, align=align,
2441 **({"data": data} if data is not None else {}), **kwargs)
File D:\Programfiles\Anaconda\Lib\site-packages\matplotlib\__init__.py:1446, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs)
1443 @functools.wraps(func)
1444 def inner(ax, *args, data=None, **kwargs):
1445 if data is None:
-> 1446 return func(ax, *map(sanitize_sequence, args), **kwargs)
1448 bound = new_sig.bind(ax, *args, **kwargs)
1449 auto_label = (bound.arguments.get(label_namer)
1450 or bound.kwargs.get(label_namer))
File D:\Programfiles\Anaconda\Lib\site-packages\matplotlib\axes\_axes.py:2433, in Axes.bar(self, x, height, width, bottom, align, **kwargs)
2431 linewidth = itertools.cycle(np.atleast_1d(linewidth))
2432 hatch = itertools.cycle(np.atleast_1d(hatch))
-> 2433 color = itertools.chain(itertools.cycle(mcolors.to_rgba_array(color)),
2434 # Fallback if color == "none".
2435 itertools.repeat('none'))
2436 if edgecolor is None:
2437 edgecolor = itertools.repeat(None)
File D:\Programfiles\Anaconda\Lib\site-packages\matplotlib\colors.py:471, in to_rgba_array(c, alpha)
468 pass
470 if isinstance(c, str):
--> 471 raise ValueError(f"{c!r} is not a valid color value.")
473 if len(c) == 0:
474 return np.zeros((0, 4), float)
Here is my code: import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
df_used_cars = pd.read_csv("C:/Users/Rezowan/Desktop/bar_chart_data.csv")
df_used_cars
plt.figure(figsize = (9,6))
plt.bar(x = df_used_cars["Brand"],
height = df_used_cars["Cars Listings"],
color = "rgbwymc")
plt.xticks(rotation = 45)
plt.show()