我最近遇到了holoviews作為 python 中很有前途的可視化庫，并且作為一種實踐，我想轉移一些我現(xiàn)有的代碼來看看它在hv. 我到達了一個我無法重新創(chuàng)建的給定情節(jié)。我想可視化一個時間軸或路線圖，其中x軸的類型是類型pd.datetime并且y是分類的。像這樣的東西：我應該使用什么元素？我應該如何定義部分的開始和結束位置？
2 回答
四季花海
TA貢獻1811條經(jīng)驗 獲得超5個贊
HoloViews >= 1.13 現(xiàn)在有hv.Segments()。
這使得創(chuàng)建甘特圖變得更加容易：
from datetime import datetime
import holoviews as hv
hv.extension('bokeh')
data = {
'start': [datetime(2018, 1, 3), datetime(2018, 3, 3), datetime(2018, 7, 15)],
'end': [datetime(2018, 1, 31), datetime(2018, 3, 30), datetime(2018, 9, 23)],
'start_event': ['Event1', 'Event2', 'Event2'],
'end_event': ['Event1', 'Event2', 'Event2'],
}
df = pd.DataFrame(data)
hv.Segments(
data=df,
kdims=['start', 'start_event', 'end', 'end_event']
).opts(line_width=4., width=1000)
夢里花落0921
TA貢獻1772條經(jīng)驗 獲得超6個贊
這聽起來像你需要一個甘特圖。
我正在使用hv.Curve()從時間起點到終點畫一條線：
# import libraries
from datetime import datetime
import holoviews as hv
hv.extension('bokeh')
# drawing a simple line
line1 = hv.Curve([
[datetime(2018, 1, 3), 'Event1'],
[datetime(2018, 1, 31), 'Event1'],
])
# creating a dashed line
line2 = hv.Curve([
[datetime(2018, 3, 3), 'Event2'],
[datetime(2018, 3, 30), 'Event2'],
]).opts(line_dash='dashed')
# creating a black thicker line
line3 = hv.Curve([
[datetime(2018, 7, 15), 'Event2'],
[datetime(2018, 9, 23), 'Event2'],
]).opts(color='black', line_width=10.0)
# add all 3 lines together on 1 plot with the * symbol
# this creates an overlay
gantt_chart = (line1 * line2 * line3)
# change xlim and width of the whole chart and add xlabel
# just making the plot a bit nicer
gantt_chart.opts(
width=800,
xlim=(datetime(2018, 1, 1), datetime(2018, 12, 31)),
xlabel='start to stop',
ylabel='',
)
如您所見，我還添加了一些選項作為示例來更改線條的樣式并更改 x 軸的范圍。
示例代碼為您提供了此圖：
另一種解決方案是生成此甘特圖的更通用方法，它循環(huán)數(shù)據(jù)并為每個開始/停止點生成曲線：
# import libraries
from datetime import datetime
import holoviews as hv
hv.extension('bokeh')
# create sample data
data = [
[datetime(2018, 1, 3), datetime(2018, 1, 31), 'Event1'],
[datetime(2018, 3, 3), datetime(2018, 3, 30), 'Event2'],
[datetime(2018, 7, 15), datetime(2018, 9, 23), 'Event2'],
]
# loop over data to create a list with a line/curve for every start/stop point
all_lines_list = [
hv.Curve([
[row[0], row[2]],
[row[1], row[2]],
]).opts(color='red') for row in data
]
# put all lines in an Overlay plot that can display all lines on 1 plot
gantt_chart = hv.Overlay(all_lines_list)
# make plot nicer
gantt_chart.opts(
show_legend=False,
width=800,
xlim=(datetime(2018, 1, 1), datetime(2018, 12, 31)),
xlabel='start to stop',
ylabel='',
)
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