【代码模版】matplotlib直方图绘制（持续更新）

1. 基本直方图绘制

fig, ax = plt.subplots(figsize=(12, 8))
ax.hist(DF['column_name'], bins=x);  # bins指定分为多少组
ax.set_xlabel('name');
ax.set_ylabel('name');
ax.set_title('name')

最终效果图：

2. log化数据后的直方图绘制

def plot_hist(df, variable, bins=20, xlabel=None, by=None,
              ylabel=None, title=None, logx=False, ax=None):

    if not ax:
        fig, ax = plt.subplots(figsize=(12,8))
    if logx:
        if df[variable].min() <=0:
            df[variable] = df[variable] - df[variable].min() + 1
            print('Warning: data <=0 exists, data transformed by %0.2g before plotting' % (- df[variable].min() + 1))
        
        bins = np.logspace(np.log10(df[variable].min()),
                           np.log10(df[variable].max()), bins)
        ax.set_xscale("log")

    ax.hist(df[variable].dropna().values, bins=bins);
    
    if xlabel:
        ax.set_xlabel(xlabel);
    if ylabel:
        ax.set_ylabel(ylabel);
    if title:
        ax.set_title(title);
    
    return ax

# 函数调用
plot_hist(DF, 'column_name', bins=x, logx=True, 
          xlabel='name', ylabel='name',
          title='name')

最终效果图：