I want to add horizontal line at 0.09 and -0.09
in every subplot I am generating in plotly. Following is my code to do that.
trace1 = go.Scatter(
x=df1['transaction_date'],
y=df1['difference'],
)
trace2 = go.Scatter(
x=df2['transaction_date'],
y=df2['difference'],
)
trace3 = go.Scatter(
x=df3['transaction_date'],
y=df3['difference'],
)
trace4 = go.Scatter(
x=df4['transaction_date'],
y=df4['difference'],
)
fig = tools.make_subplots(rows=2, cols=2,subplot_titles=('DF1 HS', DF2 HSD',
'DF3 HD', 'DF4 SD',
))
fig.append_trace(trace1, 1, 1)
fig.append_trace(trace2, 1, 2)
fig.append_trace(trace3, 2, 1)
fig.append_trace(trace4, 2, 2)
Then I want to save this 4 subplots as jpeg
on disk. How can I do that in python
Try updating layout
of fig
object with shapes
as below:
import plotly.graph_objs as go
from plotly import tools
from plotly.offline import init_notebook_mode, plot
df = pd.DataFrame(np.random.randint(0,100,size=(20,2)),
index=pd.date_range(start='2018-08-21',end='2018-09-09'),
columns=['A','B'])
trace1 = go.Scatter(x=df.index,y=df['A'],)
trace2 = go.Scatter(x=df.index,y=df['B'],)
fig = tools.make_subplots(rows=2, cols=1,subplot_titles=(['A','B']))
fig.append_trace(trace1, 1, 1)
fig.append_trace(trace2, 2, 1)
fig['layout'].update(shapes=[{'type': 'line','y0':50,'y1': 50,'x0':str(df.index[0]),
'x1':str(df.index[-1]),'xref':'x1','yref':'y1',
'line': {'color': 'red','width': 2.5}},
{'type': 'line','y0':50,'y1': 50,'x0':str(df.index[0]),
'x1':str(df.index[-1]),'xref':'x2','yref':'y2',
'line': {'color': 'red','width': 2.5}}])
plot(fig,show_link=False,image='jpeg',image_filename='Temp_plot')
The plot will be saved as Temp_plot.jpeg
. Check the image below.
The downside of this method is we need to carefully give axes values to xref
and yref
with respect to subplots.
matplotlib
solution:Data:
dict = {
"a":np.random.randint(low=-10,high=10,size=20),
"b":np.random.randint(low=-10,high=10,size=20),
"c":np.random.randint(low=-10,high=10,size=20),
"d":np.random.randint(low=-10,high=10,size=20),
}
df = pd.DataFrame(dict)
Plot:
fig, axes = plt.subplots(2,2, figsize=(20,10), sharex=True, sharey=True)
for i,j in zip(axes.ravel(), list(df)):
i.plot(df.index, df[j], 'ro')
i.hlines(y=-3, xmin=0, xmax=22)
i.hlines(y=3, xmin=0, xmax=22)
fig.savefig("testplot.png")
Result:
I'm pretty new to Plotly so maybe the API has just been updated, but it seems there is a much simpler solution, per the documentation here . One need only use the fig.add_hline()
syntax while specifying which subplot (col and row) it should be drawn on, as such:
fig.add_hline(y=1, line_dash="dot", row=1, col=1, line_color="#000000", line_width=2)
This line will instruct Plotly to draw a horizontal line y = 1
on the subplot located at row = 1
; col = 1
.
Alternatively, as noted in the dox, the "all" keyword can be passed as a value for either the row
or col
argument to instruct plotly to draw the line on (wait for it...) all the subplots!
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.