How to add error_y to fig.add_scatter, please? The argument error_y does not work for fig.add_scatter, unlike px.scatter. I did not find any appropriate argument in the documentation provided I looked carefully. Does it exist?
import plotly.express as px
import numpy as np
import pandas as pd
import plotly.graph_objects as go
with open("file", "w") as f:
f.write("""1 27 10 20.10.2021
2 10 11 21.10.2021
3 10 2 28.10.2021
4 13 8 05.11.2021
5 17 5 17.11.2021""")
datum = np.loadtxt("file", unpack=True, dtype="str", usecols=[3])
cislo, K, H = np.loadtxt("file", unpack=True, usecols=[0, 1, 2])
d = {"Datum": datum, "B": K, "C": H, "cislo": cislo}
df = pd.DataFrame(data=d)
fig = px.scatter(df, x=[-100], y=[100], error_y=[10])
# How to add error_y to fig.add_scatter?
fig.add_scatter(
x=df["cislo"],
y=df["C"],
customdata=df["Datum"].values.reshape([len(df), 1]),
hoverinfo="skip",
mode="markers",
marker=dict(size=10, color="Purple"),
name="C",
)
fig.add_scatter(
x=df["cislo"],
y=df["B"],
customdata=df["Datum"].values.reshape([len(df), 1]),
hoverinfo="skip",
mode="markers",
marker=dict(size=10, color="Green"),
name="B",
)
fig.update_traces(
hovertemplate="<br>".join(
[
"<b>Value:</b> %{y:.0f}",
"<b>Date:</b> %{customdata[0]}",
]
)
)
fig.update_traces(mode="lines markers")
fig.show()
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