[英]Create stacked bar plot in pandas
I am plotting the foll
. 我绘制
foll
。 dataframe using pandas: 使用熊猫的数据框:
╔═════════════════════════════════════════════════════════════════════════╗
║ country_name 1960s 1970s ║
╠═════════════════════════════════════════════════════════════════════════╣
║ functional_crop_type ║
║ C3annual United States of America 48.226957 42.384590 ║
║ C3perennial United States of America 1.377634 1.377971 ║
║ C4annual United States of America 32.526747 32.833662 ║
║ C4perennial United States of America 0.265062 0.289005 ║
║ N-fixing United States of America 17.603600 23.114773 ║
╚═════════════════════════════════════════════════════════════════════════╝
╔════════════════════════════════════════════════════════════════════╗
║ 1980s 1990s 2000s 2010s ║
╠════════════════════════════════════════════════════════════════════╣
║ functional_crop_type ║
║ C3annual 41.184368 39.085943 32.821374 28.767468 ║
║ C3perennial 1.413647 1.561404 1.657869 1.691046 ║
║ C4annual 31.260082 32.089138 33.705184 36.815154 ║
║ C4perennial 0.303626 0.367331 0.386495 0.359842 ║
║ N-fixing 25.838277 26.896184 31.429078 32.366490 ║
╚════════════════════════════════════════════════════════════════════╝
Using the foll
. 使用
foll
。 command: 命令:
out_dec_df = out_dec_df.set_index('functional_crop_type')
out_dec_df.plot(kind='bar',stacked=True)
However, I want the x-axis
to be '1960s', '1970s'...'2010s' and the stacked bar plot to be composed of the functional crop types. 但是,我希望
x-axis
为“ 1960年代”,“ 1970年代” ...“ 2010年代”,并且堆积条形图由功能性作物类型组成。 How do I do this? 我该怎么做呢?
尝试使用转置。
out_dec_df.drop('country_name', axis=1).T.plot(kind='bar',stacked=True)
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