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Closed 1 year ago.
I have been trying to get a bar plot with value labels on each bar. I have searched all over but can't get this done. My df is the one below.
Pillar %
Exercise 19.4
Meaningful Activity 19.4
Sleep 7.7
Nutrition 22.9
Community 16.2
Stress Management 23.9
My code so far is
df_plot.plot(x ='Pillar', y='%', kind = 'bar')
plt.show()
Use ax.bar_label:
ax = df.plot(x='Pillar', y='%', kind='bar', legend=False, rot=0)
ax.bar_label(ax.containers[0], label_type='edge')
plt.tight_layout()
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I am making a histogram using matplotlib. I am using integer data and I want them to represent 1 bin. The following is the sample code which I made.
import matplotlib.pyplot as plt
a=[1,2,2,3,3,3,4,4,4,4]
plt.figure()
plt.hist(a,bins=4)
plt.show()
The histogram which I got is above. This have left end 1 ad rightend 4. I want the width of the histogram to be 1, however, this will just show 0.75 size. Moreover, I want the x value to locate at the center of the bar of histogram. Is there any way I can adjust?
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There are a few examples showing how to use "shrink" for changing the colorbar. How can I automatically figure out what the shrink should be so the colorbar is equal to the height of the heatmap?
I don't have a matplotlib axis because I am using seaborn and plotting the heatmap from the dataframe.
r = []
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r.append(np.arange(0,1,.1))
r.append(np.arange(0,1,.1))
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I want to draw a line on y=0. However, I am not sure how to do that using pandas built-in charting.
df.mean(axis=1).plot() I am running this and that is the result.
Catch the ax instance returned by plot, and you can use axhline:
ax = df.mean(axis=1).plot()
ax.axhline(0, c='r')
Output:
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Closed 3 months ago.
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I tried plt.legend(loc='upper right') but it is not helping me.
g=sns.countplot(x=feature, hue='loss', data=data_tr)
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Getting legend in seaborn jointplot
(2 answers)
Closed 3 years ago.
When generating bivariate plots like hexbin, pandas generates a legend explaining frequency value for each color shade:
pokemon.plot.hexbin(x='HP', y='Attack', gridsize=30)
I cannot find a similar way to generate such a legend for jointplot and kdeplot in seaborn:
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