[英]Increasing bar width in bar chart using Altair
I have the following dataframe and want to use altair
library in Python to plot my bar chart. 我有以下数据
altair
并希望在Python中使用altair
库来绘制我的条形图。 However, I couldn't figure out how to expand the width of each bar (same as width=0.5
parameter in matplotlib
). 但是,我无法弄清楚如何扩展每个条的宽度(与
matplotlib
width=0.5
参数相同)。
import pandas as pd
from altair import *
ls = [[ 1, 734], [ 2, 1705], [ 3, 2309],
[ 4, 2404], [ 5, 2022], [ 6, 1538],
[ 7, 1095], [ 8, 770], [ 9, 485],
[ 10, 312], [ 11, 237], [ 12, 153],
[ 13, 103], [ 14, 69], [ 15, 47],
[ 16, 39], [ 17, 43], [ 18, 28],
[ 19, 18]]
df = pd.DataFrame(ls, columns=['n_authors', 'n_posters'])
Here is plotting function using altair
这是使用
altair
绘图功能
bar_chart = Chart(df).mark_bar().encode(
x=X('n_authors', title='Number of Authors in a Poster'),
y=Y('n_posters', title='Number of Posters'),
).configure_facet_cell(
strokeWidth=1.0,
height=200,
width=300
)
bar_chart.display()
The plot looks like below from the script: 该剧情如下图所示:
The answer of @Nipun doesn't work any more. @Nipun的答案不再适用。 After some experimenting, I could obtain the desired result with
size
instead of barSize
. 经过一些实验,我可以用
size
而不是barSize
获得所需的结果。 (I only tested it in Jupyter Lab.) (我只在Jupyter实验室测试过。)
from pandas import *
from altair import *
ls = [[ 1, 734], [ 2, 1705], [ 3, 2309],
[ 4, 2404], [ 5, 2022], [ 6, 1538],
[ 7, 1095], [ 8, 770], [ 9, 485],]
df = DataFrame(ls, columns=['X', 'Y'])
Chart(df).mark_bar(size=20).encode(x='X', y='Y')
You need to use the barSize
argument. 您需要使用
barSize
参数。 See more here for Mark Configuration . 有关标记配置,请参阅此处
bar_chart = Chart(df).mark_bar(barSize=20).encode(
x=X('n_authors', title='Number of Authors in a Poster'),
y=Y('n_posters', title='Number of Posters'),
).configure_facet_cell(
strokeWidth=1.0,
height=200,
width=300
)
bar_chart.display()
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