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    Summary

    Description
    English: Incidence of involuntary part time workers in OECD
    Date
    Source Own work, Data from OECD Labour Force statistics.
    https://stats.oecd.org/Index.aspx?DataSetCode=INVPT_I
    Author Yuasan
    Permission
    (Reusing this file)
    CC-0

    Graph data

    import matplotlib.pyplot as plt
    from cycler import cycler
    import pandas as pd
    
    df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
    df = df.T
    df = df.fillna(method = 'ffill') 
    
    fig, ax = plt.subplots(figsize=(12, 8))
    plt.rcParams['font.family'] = 'sans-serif'
    plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
    
    plt.subplots_adjust(left=0.07, bottom=0.15, right=0.96, top=0.93)
    
    cc = cycler('ls', ['-', '--']) * cycler('lw', range(1, 3))
    ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] * cc)
    ax.plot(df)
    ax.legend(df.columns, fontsize=8, ncol=10, loc='center' ,bbox_to_anchor=(0, -0.23, 1, 0.24) )
    ax.set_axisbelow(True)
    
    plt.title("Incidence of involuntary part time workers (OECD Labour Force Stat.)", fontsize=18)
    plt.tick_params(labelsize=9, pad=4)
    plt.ylabel("Percentage of Total Employment", fontsize=13)
    plt.xticks(rotation=35, fontsize=7)
    plt.yticks(fontsize=11)
    plt.ylim([0,12])
    
    ax.minorticks_on()
    plt.grid(which='major',color='#999999',linestyle='-', axis="y")
    plt.grid(which='minor',color='#cccccc',linestyle='--', axis="y")
    
    plt.savefig("image.svg")
    

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    Captions

    Incidence of involuntary part time workers in OECD

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    depicts

    16 September 2022

    image/svg+xml

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    Date/TimeThumbnailDimensionsUserComment
    current16:50, 16 September 2022Thumbnail for version as of 16:50, 16 September 20221,080 × 720 (150 KB)YuasanUploaded own work with UploadWizard

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