我有一个名为的数据框table:
table
TERM Bitcoin S&P500 Real Estate Gold 0 High-Inflation/ Short term 3097.94 -3700.78 761.23 6512.71 1 High-Inflation/ Mid term — -3080.01 -8434.66 3242.40 2 High-Inflation/ Long term — -2089.25 -9117.96 8174.43 3 Low-Inflation/ Short term 780200.00 -273.71 1824.72 2214.51 4 Low-Inflation/ Mid term 21013600.00 5331.40 35810.58 -2879.37 5 Low-Inflation/ Long term 978017143.00. 15045.41 35895.81 861.90
并使用此代码生成了图表:
from itertools import product alt.Chart(table).transform_fold( ["Bitcoin", "S&P500", "Real Estate", "Gold"], as_=["key", "value"] ).mark_bar().encode( x="key:N", y=alt.Y("value:Q", scale=alt.Scale(type='symlog'), axis=alt.Axis(values=[0] + [10**x * y for (x, y) in product(range(1, 10, 1), (1, -0.01))])), color="key:N", column="TERM", )
但是,如您所见,顶部的标签挤在一起了。我不确定如何使它们更具视觉吸引力,以及如何删除key每个图表 x 轴上的标签:
key
您可以通过在 x 编码中设置来删除 x 标题title=None。您可以通过用行列表替换有问题的字符串来添加换行符。例如:
title=None
table['TERM'] = table['TERM'].str.split(' ', 1) alt.Chart(table).transform_fold( ["Bitcoin", "S&P500", "Real Estate", "Gold"], as_=["key", "value"] ).mark_bar().encode( x=alt.X("key:N", title=None), y=alt.Y("value:Q", scale=alt.Scale(type='symlog'), axis=alt.Axis(values=[0] + [10**x * y for (x, y) in product(range(1, 10, 1), (1, -0.01))])), color="key:N", column="TERM" )