Pandas Python 可视化 - 值错误：形状不匹配：错误

Question

*Edit: Why the right plot (Bar) is showing 50%, half black screen on the plot, wierd numbers, "garbage"... how to fix the right plot?

here is my code:

top_series = all_data.head(50).groupby('Top Rated ')['Top Rated '].count()
top_values = top_series.values.tolist()
top_index = ['Top Rated', 'Not Top Rated']
top_colors = ['#27AE60', '#E74C3C']


rating_series = all_data.head(50).groupby('Rating')['Rating'].count()
rating_values = rating_series.values.tolist()
rating_index = ['High' , 'Low']
rating_colors = ['#F1C40F', '#27AE60']

fig, axs = plt.subplots(1,2, figsize=(16,5))
axs[0].pie(top_values, labels=top_index, autopct='%1.1f%%', shadow=True, startangle=90,
           explode=(0.05, 0.05), radius=1.5, colors=top_colors, textprops={'fontsize':15})
    
axs[1].bar(rating_series.index, rating_series.values, color='b')
axs[1].set_xlabel('Rating')
axs[1].set_ylabel('Amount')


fig.suptitle('Does "Rating" really affect on Top Sellers ? ')

CSV cols:

Output (look at the right plot):

Answer 1

I suppose, that keys is a list of all keys. So it can have a different shape than the top_values . If you would do:

axs[1].bar(top_series.index, top_series.values, color='b')

It should work well.

But, if you just want to plot the histogram, there is even shorter version, without temporary objects:

all_data['Top Rated '].value_counts().plot(kind = 'bar', ax=axs[1])

Edit: The Rating column is a numeric one, not a string one. You have to create a column which will have values High and Low . For example:

all_data['Rating_Cat'] = all_data['Rating'].apply(lambda x : 'High' if (x > 10000000 ) else 'Low')

And then use this column to plot this kind of bar plot