兼容性: 可以轻松地与其他 Python 数据科学库(如 NumPy 和 Pandas)集成。 广泛使用: 由于其强大的功能和易用性,Matplotlib 在数据科学社区中非常流行。 类型与应用场景 类型:plt.clf()主要用于管理图形对象,特别是在需要连续绘制多个图表时。 应用场景: ...
df_make = df_raw.loc[df_raw.manufacturer==make, :] ax.scatter(y=np.repeat(i, df_make.shape[0]), x='cty', data=df_make, s=75, edgecolors='gray', c='w', alpha=0.5) ax.scatter(y=i, x='cty', data=df_median.loc[df_median.index==make, :], s=75, c='firebrick') # ...
colors = [plt.cm.tab10(i/float(len(categories)-1))foriinrange(len(categories))] # Step 2: Draw Scatterplot with unique color for each category fig = plt.figure(figsize=(16,10), dpi=80, facecolor='w', edgecolor='k') fori, categoryinenumerate(categories): plt.scatter('area','pop...
colors = [plt.cm.tab10(i/float(len(categories)-1))foriinrange(len(categories))] # Step 2: Draw Scatterplot with unique color for each category fig = plt.figure(figsize=(16,10), dpi=80, facecolor='w', edgecolor='k') fori, categoryinenumerate(categories): plt.scatter('area','pop...
importnumpyasnp importpandasaspd importmatplotlibasmpl importmatplotlib.pyplotasplt importseabornassns importwarnings; warnings.filterwarnings(action='once') large =22; med =16; small =12 params = {'axes.titlesize': large, 'legend.fontsize': med, ...
importnumpyasnp importpandasaspd importmatplotlibasmpl importmatplotlib.pyplotasplt importseabornassns importwarnings; warnings.filterwarnings(action='once') large =22; med =16; small =12 params = {'axes.titlesize': large, 'legend.fontsize': med, ...
importnumpyasnp importpandasaspd importmatplotlibasmpl importmatplotlib.pyplotasplt importseabornassns importwarnings; warnings.filterwarnings(action='once') large =22; med =16; small =12 params = {'axes.titlesize': large, 'legend.fontsize': med, ...
importnumpyasnp importpandasaspd importmatplotlibasmpl importmatplotlib.pyplotasplt importseabornassns importwarnings; warnings.filterwarnings(action='once') large =22; med =16; small =12 params = {'axes.titlesize': large, 'legend.fontsize': med, ...
importnumpyasnp importpandasaspd importmatplotlibasmpl importmatplotlib.pyplotasplt importseabornassns importwarnings; warnings.filterwarnings(action='once') large =22; med =16; small =12 params = {'axes.titlesize': large, 'legend.fontsize': med, ...
# Plotplt.figure(figsize=(12,10), dpi=80)sns.heatmap(df.corr, xticklabels=df.corr.columns, yticklabels=df.corr.columns, cmap='RdYlGn', center=0, annot=True) # Decorationsplt.title('Correlogram of mtcars', fontsize=22)plt.xticks(fontsize=12)plt.yticks(fontsize=12)plt.show ...