I am trying to choose a specific color for each bar in the following bar plot:
Given we have the following pandas Series with variable win_corr
:
fruity -0.380938
hard -0.310382
pluribus -0.247448
nougat 0.199375
caramel 0.213416
crispedricewafer 0.324680
peanutyalmondy 0.406192
bar 0.429929
chocolate 0.636517
Name: winpercent, dtype: float64
For visualization I am using the following code:
fig, ax = plt.subplots(figsize=(8,6))
ax = sns.barplot(win_corr.values,win_corr.index, orient='h', color='deepskyblue')
ax.set_ylabel('')
ax.set_xlabel('Value')
plt.title('Correlation Coefficients for winpercent')
ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )
#ax[0].set_color['r'] # did not work to change the color
plt.show()
To change the color I tried the following solutions from a similar question:
color = ['black','red','green','orange','blue','limegreen','darkgreen','royalblue','navy']
fig, ax = plt.subplots(figsize=(8,6))
ax = sns.barplot(win_corr.values,win_corr.index, orient='h', color=color) # did NOT work
ax.set_ylabel('')
ax.set_xlabel('Value')
plt.title('Correlation Coefficients for winpercent')
ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )
plt.show()
I have the following error message:
ValueError Traceback (most recent call last)
<ipython-input-51-e266cc052512> in <module>()
3
4 fig, ax = plt.subplots(figsize=(8,6))
----> 5 ax = sns.barplot(win_corr.values,win_corr.index, orient='h', color=color) # did NOT work
6 ax.set_ylabel('')
7 ax.set_xlabel('Value')
9 frames
/usr/local/lib/python3.7/dist-packages/matplotlib/colors.py in _to_rgba_no_colorcycle(c, alpha)
269 raise ValueError(f"Invalid RGBA argument: {orig_c!r}")
270 if len(c) not in [3, 4]:
--> 271 raise ValueError("RGBA sequence should have length 3 or 4")
272 if not all(isinstance(x, Number) for x in c):
273 # Checks that don't work: `map(float, ...)`, `np.array(..., float)` and
ValueError: RGBA sequence should have length 3 or 4