[英]How do I add annotations in barplot with plotly?
目前我的 plot 看起來像這樣:
df_pub = pd.read_excel('D:\Masterarbeit\Data\Excel/publication_years.xlsx')
fig = px.bar(df_pub, x = 'Publication date', y = 'Freq.')
fig.show()
years = ['80', '81', '82', '83', '84', '85', '86, '87', '88', '89', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99' ,'00' ,'01', '02', '03', '04' '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19']
freq = [173,1368,2238,4135,5455,6280,7470,6580,7537,8781,10894,14788,20562,27637,32446,32665,30374,28234,24235,22312,16817,20222,24080,30398,30230,27462,33582,28908,31648,26579,29121,31216,34574,34271,32570,32531,43390,46761,55920,34675]
我想在圖表下方添加一些注釋。
正如答案所建議的:
import pandas as pd
import plotly.express as px
df_pub = pd.read_excel('D:/Masterarbeit/Data/Excel/publication_years.xlsx')
fig = px.bar(df_pub, x = 'Publication date', y = 'Freq.', title = 'Frequency of publicated patents 1980-2019'
)
annot_y = -0.2
annot_t = 'Figure 1(i) - Patent frequency 1980-2019Q1'
fig.add_annotation(
y=annot_y,
showarrow=False,
text=annot_t,
textangle=0,
xanchor='left',
xref="x",
yref="paper")
fig.show()
但它仍然被擠壓:/
您想注釋哪個數字並不是 100% 清楚的。 但現在我假設:
您尚未共享數據樣本,因此很難確定。 但在我看來,您的 x 值是時間戳,並且您在fig.add_annotation()
中使用x=4
。因此,您需要確保分配給 x 軸的值對應於值您在fig.add_annotation()
中分配。 下面是一個工作示例,應該可以讓您完全按照自己的意願行事。
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import plotly.express as px
import datetime
from plotly.subplots import make_subplots
pd.set_option('display.max_rows', None)
# data sample
nperiods = 50
np.random.seed(123)
df = pd.DataFrame(np.random.randint(-6, 12, size=(nperiods, 2)),
columns=['price', 'divergence'])
datelist = pd.date_range(datetime.datetime(2017, 1, 1).strftime('%Y-%m-%d'),periods=nperiods).tolist()
df['date'] = datelist
df = df.set_index(['date'])
df.index = pd.to_datetime(df.index)
# df.iloc[0] =1000
# df = df.cumsum().reset_index()
df.reset_index(inplace=True)
df['price'] = df['price'].cumsum()
df['divergence'] = df['divergence'].cumsum()
# filtered = df[(df['date'] > '2017-1-24') & (df['date'] <= '2018-1-24')]
fig = make_subplots(specs=[[{"secondary_y": True}]])
fig.add_trace(
go.Bar(
x=df['date'],
y=df['divergence'],
#opacity=0.5
)
)
fig.update_traces(marker_color = 'rgba(0,0,250, 0.5)',
marker_line_width = 0,
selector=dict(type="bar"))
fig.update_layout(bargap=0,
bargroupgap = 0,
)
annot_x = df['date'].to_list()[::20]
annot_y = -0.2
annot_t = list('ABC')
for i, x in enumerate(annot_x):
# print(x)
fig.add_annotation(dict(font=dict(color='red',size=12),
x=x,
y=annot_y,
showarrow=False,
text=annot_t[i],
textangle=0,
xanchor='left',
xref="x",
yref="paper"))
fig.show()
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