as well as modern computer-assisted computational computation functions, including the discovery of point of interest and local definitions. The display is in Python, which is suitable for rapid development, but the algorithms are used in
Let's see how the Fare is distributed among all Pclass and Embarked feature values import seaborn as sns import matplotlib.pyplot as plt sns.set_style('darkgrid') fig, ax = plt.subplots(figsize=(16,12),ncols=2) ax1 = sns.boxplot(x="Embarked", y="Fare", hue="Pclass", data=...
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First, we will structure the data in a better way. As noticed before, our data per rapper is a list of lyrics. So, we have to transform it into one single text. We will write a function that will accept a list of lyrics and will return one single text. That can only mean one th...
Finally, you will format your plot using the following: ax.legend() plt.yticks(fontsize ='xx-small') plt.xticks(rotation=-90, fontsize='xx-small') Note:Save your plot after you run of the script. Your plot should look close to the foll...
import matplotlib.pylab as plt from matplotlib.font_manager import FontProperties #fontproperties的模块,pyde自动添加的 Movie=pd.read_csv('MovieTop250.csv',encoding='utf-8') country_iter=(set(x.split(' ')) for x in Movie['Country']) #generator生成器,分解字符串 countries=sorted(set.union(*...
subplot_1.plot(np.random.rand(number_of_data_points).cumsum())#累计每产生的随机数总和number_of_ticks= 5ticks= np.arange(0, number_of_data_points, number_of_data_points//number_of_ticks) subplot_1.set_xticks(ticks)#设置x轴tick的数据labels = subplot_1.set_xticklabels(['one','two',...