Pandas Multi Column 그리기

pandas_multicolum_index_plot.py

def plot_multi(data, cols=None, spacing=.1, **kwargs):

    from pandas import plotting

    # Get default color style from pandas - can be changed to any other color list
    if cols is None: cols = data.columns
    if len(cols) == 0: return
    # colors = getattr(getattr(plotting, '_style'), '_get_standard_colors')(num_colors=len(cols))
    # colors = [rand_color.generate() for _ in range(len(cols))]
    # colors = rand_color.generate(hue="blue", count=len(cols))
    # colors = [((i*50)/255, 1-(i*50)/255, 0.9, 0.8) for i in range(2, len(cols)+2)]
    colors = [f'C{str(i)[-1]}' for i in range(len(cols))]

    # First axis
    ax = data.loc[:, cols[0]].plot(label=cols[0], color=colors[0], **kwargs)
    ax.set_ylabel(ylabel=cols[0])
    lines, labels = ax.get_legend_handles_labels()

    for n in range(1, len(cols)):
        # Multiple y-axes
        ax_new = ax.twinx()
        ax_new.spines['right'].set_position(('axes', 1 + spacing * (n - 1)))
        data.loc[:, cols[n]].plot(ax=ax_new, label=cols[n], color=colors[n % len(colors)])
        ax_new.set_ylabel(ylabel=cols[n])

        # Proper legend position
        line, label = ax_new.get_legend_handles_labels()
        lines += line
        labels += label

    ax.legend(lines, labels, loc=0)
    return ax

plot_multi(per_oid_df, figsize=(15, 8), kind='bar')

Origin code from https://stackoverflow.com/questions/11640243/pandas-plot-multiple-y-axes

Change color to blue