The dataframe df
:
Id timestamp C Date sig events1 Start Peak Timediff2 datadiff2 B
51253 51494 2020-01-27 06:22:08.330 19.5 2020-01-27 -1.0 0.0 NaN 1.0 NaN NaN NaN
51254 51495 2020-01-27 06:22:08.430 19.0 2020-01-27 1.0 1.0 0.0 0.0 NaN NaN NaN
51255 51496 2020-01-27 07:19:06.297 19.5 2020-01-27 1.0 0.0 1.0 0.0 3417.967 0.0 0.000000
51256 51497 2020-01-27 07:19:06.397 20.0 2020-01-27 1.0 0.0 0.0 0.0 3417.967 1.0 0.000293
51259 51500 2020-01-27 07:32:19.587 20.5 2020-01-27 1.0 0.0 0.0 0.0 793.290 1.0 0.001261
51260 51501 2020-01-27 07:32:19.687 21.0 2020-01-27
I plotted an interactive graph using:
import pandas as pd
import plotly.express as px
fig = px.line(x=df['Timestamp'], y=df['C'], hover_data=["B"])
fig.add_scatter(x=df['Timestamp'], y=df['C'], mode='markers', marker_color=df['A'], marker_size=5)
fig.update_layout(plot_bgcolor='#bababa', showlegend=False, width=2400, height=800)
fig.show()
Then to add additional hover data for column C
, I added hover_data=["C"]
:
fig = px.line(x=df['Timestamp'], y=df['B'], hover_data=["C"])
It returned
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-21-be5860c5172a> in <module>()
21 import plotly.express as px
22
---> 23 fig = px.line(x=df['Timestamp'], y=df['C'], hover_data=["B"])
24 fig.add_scatter(x=df['Timestamp'], y=df['C'], mode='markers', marker_color=df['A'], marker_size=5)
25
3 frames
/usr/local/lib/python3.6/dist-packages/plotly/express/_core.py in build_dataframe(args, attrables, array_attrables)
931 "DataFrame or an array is provided in the `data_frame` "
932 "argument. No DataFrame was provided, but argument "
--> 933 "'%s' is of type str or int." % field
934 )
935 # Check validity of column name
ValueError: String or int arguments are only possible when a DataFrame or an array is provided in the `data_frame` argument. No DataFrame was provided, but argument 'hover_data_0' is of type str or int.
Update:
Tried
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-21-be5860c5172a> in <module>()
21 import plotly.express as px
22
---> 23 fig = px.line(x=df['Timestamp'], y=df['C'], hover_data=df["B"])
24 fig.add_scatter(x=df['Timestamp'], y=df['C'], mode='markers', marker_color=df['A'], marker_size=5)
25
/usr/local/lib/python3.6/dist-packages/plotly/express/_core.py in build_dataframe(args, attrables, array_attrables)
986 else: # numpy array, list...
987 col_name = _check_name_not_reserved(field, reserved_names)
--> 988 if length and len(argument) != length:
989 raise ValueError(
990 "All arguments should have the same length. "
TypeError: object of type 'float' has no len()
This is how you do it, actually is a little simpler and you can add as much hover data as you want:
fig = px.line(df,
x='Timestamp',
y='C',
hover_data=[
'B', 'Z',
'A', 'Other'
],
)
You tried:
fig = px.line(x=df['Timestamp'], y=df['C'], hover_data=["B"])
If you read the error message, you'll see that ["B"]
should be df['B']
So try:
fig = px.line(x=df['Timestamp'], y=df['C'], hover_data=df["B"])
Edit after comments:
My original answer still stands, but it's no wonder you're still experiencing problems. If you had shared a sample of your dataset, I would most likely have seen the real issue at once.
Anyway, take a look at some of the plotly express docs . There you'll see that px.line
does not function the way you seem to expect it to. You're trying to apply dataframe columns such as df['Timestamp']
, df['B']
and df['C']
which leads me to believe that your source data has a so-called wide format. Plotly express functions mostly work with data of a so-called long format. Take a look at https://plotly.com/python/px-arguments/ for more info on this.
If I'm right, then all you'll have to do to make this work for you particular case is transforming your dataframe from a wide to a long format. Update your question with a sample dataframe, and we can take a look at that too.
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.