plotly.py
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plotly
fillpattern is not working for plotly.Scatter
import pandas as pd
input_data = {'Series Label': ['A Company','B Company'],
'RMS': [3,5],'AROS': [17,55],'Sales': [50000,20000]}
df = pd.DataFrame.from_dict(input_data)
bandInfo = {"Slope":0.48200011277657,"Intercept":0.440821363259248,"BandWidth":0.124669723885567, "RSquared":0.8}
def _CalcOriginalPoint (x:float, bandWidth:float, minX: float, maxX: float, minY:float, maxY:float, bandInfo):
if bandInfo["Slope"] == 0:
x = min (max (x, minX), maxX)
return {"X": x, "Y": (bandInfo["Intercept"] + bandWidth) * 100}
elif (math.isnan (bandInfo["Slope"])):
x = min (max (x, minX), maxX)
if (x == minX):
y = minY + bandWidth
else :
y = maxY + bandWidth
return {"X": x, "Y": (bandInfo["Intercept"] + bandWidth) * 100}
#force within the chart bounds (or else the title will not display correctly)
y:float = (math.log10(x) * bandInfo["Slope"] + bandInfo["Intercept"] + bandWidth)* 100
x = 10**((y/100 - bandInfo["Intercept"] - bandWidth)/bandInfo["Slope"])
return {"X": x, "Y": y}
def _CalcPoint (x:float, bandWidth:float, minX: float, maxX: float, minY:float, maxY:float, bandInfo):
if bandInfo["Slope"] == 0:
x = min (max (x, minX), maxX)
return {"X": x, "Y": (bandInfo["Intercept"] + bandWidth) * 100}
elif (math.isnan (bandInfo["Slope"])):
x = min (max (x, minX), maxX)
if (x == minX):
y = minY + bandWidth
else :
y = maxY + bandWidth
return {"X": x, "Y": (bandInfo["Intercept"] + bandWidth) * 100}
#force within the chart bounds (or else the title will not display correctly)
y:float = (math.log10(x) * bandInfo["Slope"] + bandInfo["Intercept"] + bandWidth)* 100
if (y < minY):
y = minY
x = 10**((y/100 - bandInfo["Intercept"] - bandWidth)/bandInfo["Slope"])
elif (y > maxY):
y = maxY
x = 10**((y/100 - bandInfo["Intercept"] - bandWidth)/bandInfo["Slope"])
return {"X": x, "Y": y}
def _CalcLine(percent: float, minX: float, maxX: float, minY:float, maxY:float,bandInfo):
bandWidth = bandInfo["BandWidth"]
if percent < 50:
bandWidth = -1 * bandWidth
points = []
original_points = []
original_points.append(_CalcOriginalPoint (minX, bandWidth, minX, maxX, minY, maxY, bandInfo))
points.append(_CalcPoint (minX, bandWidth, minX, maxX, minY, maxY, bandInfo))
original_points.append(_CalcOriginalPoint (maxX, bandWidth, minX, maxX, minY, maxY, bandInfo))
points.append(_CalcPoint (maxX, bandWidth, minX, maxX, minY, maxY, bandInfo))
x_pts = []
y_pts = []
x_pts_org = []
y_pts_org = []
for point in points:
x_pts.append(point["X"])
y_pts.append(point["Y"])
for point in original_points:
x_pts_org.append(point["X"])
y_pts_org.append(point["Y"])
return x_pts,y_pts,x_pts_org,y_pts_org
import plotly.graph_objects as go
from plotly.graph_objs import *
import math
x_axis = df["RMS"]
y_axis = df["AROS"]
size = df["Sales"]
layout = Layout(
width = 1000,
height = 800,
plot_bgcolor='#ffffff',
title={
"text": "North America Confectionary market companies<br><span style=\"font-family:Courier New;font-size: 20px;color:blue;\">2002-2019 Average</span>",
"x": 0.5
}
)
fig = go.Figure(data=[go.Scatter(
x=x_axis,
y=y_axis,
mode='markers',
marker=dict(
size=df["Sales"],
sizemode='area',
sizeref=2.*max(size)/(100.**2),
sizemin=4 ,color=['rgb(93, 164, 214)', 'rgb(255, 144, 14)']
),text=df["Series Label"],showlegend=False,hoverinfo='skip',fillpattern=dict(shape=['+'])
)],layout=layout)
x_pts,y_pts,x_pts_org,y_pts_org = _CalcLine(80.0, 0.1, 10, 0, 60, bandInfo)
fig.add_trace(
go.Scatter(
x=x_pts,
y=y_pts,mode='lines+text',showlegend=False
))
# p = y_pts[1] - y_pts[0]
# q = x_pts[0] - x_pts[1]
# r = p*(x_pts[0]) + q*(y_pts[0])
# x_point = (r - (q*30))/p
slope_80 = (y_pts_org[1] - y_pts_org[0])/(x_pts_org[1] - x_pts_org[0] )
angle_in_radians = math.atan(slope_80)
angle_in_degrees = math.degrees(angle_in_radians-((3*math.pi)/4))
# print(math.log10(max(x_pts)-min(x_pts)))
# print((max(y_pts)-min(y_pts)))
# fig.add_annotation(x = math.log10(x_point) , y = 30, text = "80th Percentile",
# showarrow=False,textangle=angle_in_degrees, )
fig.add_annotation(x = math.log10(max(x_pts)-min(x_pts)) , y = max(y_pts)*0.95, text = "80th Percentile",
showarrow=False,textangle=angle_in_degrees, xref='x',yref='y')
print(x_pts,y_pts)
x_pts,y_pts,x_pts_org,y_pts_org = _CalcLine(20.0, 0.1, 10, 0, 60, bandInfo)
fig.add_trace(
go.Scatter(
x=x_pts,
y=y_pts,mode='lines+text',showlegend=False
))
print(x_pts,y_pts)
fig.add_annotation(x = math.log10(max(x_pts)-min(x_pts)) , y = max(y_pts)*0.95, text = "20th Percentile",
showarrow=False,textangle=angle_in_degrees, xref='x',yref='y')
fig.update_layout(xaxis=dict(showgrid=False),
yaxis=dict(showgrid=False)
)
fig.update_xaxes(type="log", title = "Relative Market Share (RMS)",range=[-1,1],tickvals=[0.1,1,2,3,4,5,6,7,8,9,10])
fig.update_yaxes(range=[0,60],title="Adjusted Return on Sales (AROS)")
fig.update_xaxes(showline=True, linewidth=1, linecolor='black', mirror=True,showticklabels = True)
fig.update_yaxes(showline=True, linewidth=1, linecolor='black', mirror=True,showticklabels = True,
tickfont = dict(
family = 'Old Standard TT, serif',
size = 12,
color = 'black'
),
tickmode = 'linear',
tick0 = 0.0,
dtick = 10)
for row in df.itertuples(index=False):
fig.add_annotation(
x = math.log10(row[1]),
y = row[2],
xref="x",
yref="y",
text = row[0],
align="center",
showarrow=False
)
fig.add_shape(
xref = "paper", yref="paper",
x0 = 1.01, y0 =0.01,type="circle",x1=1.08, y1 =0.10
)
fig.add_annotation(
xref = "paper", yref="paper",
x = 1.01+((1.08-1.01)/2)+0.03, y =0.01 + ((0.10-0.01)/2)-0.03, text ="$35k<br>Revenue",showarrow = False,align="center"
)
# fig.add_annotation(
# xref="paper", yref="paper",
# x=math.log10(10), y=0.1,width = 100,
# height = 20,
# text = "Legend Bubble",showarrow=False,bordercolor ="Black"
# )
fig.show()
Can you please provide a more minimal example of the problem, and confirm that you're running the latest version of plotly (5.8) and that you've looked at https://plotly.com/python/troubleshooting/ ?
@nicolaskruchten I am using plotly 5.8.2. Please find below the minimal example where its not working.
import plotly.graph_objects as go result = [] trace = go.Scatter(x=[0], y=[2],marker=dict(size=100), fill="toself", fillpattern_shape="/") result.append(trace) fig = go.Figure(data=result) fig.show()
Right, the fill pattern is applied to the area, not the markers. The way to distinguish markers from each other other than color and size is to use symbol