[英]Categorical Scatter Plot with Dash/Plotly
I am trying to make a categorical scatter plot like this:我正在尝试像这样制作分类散点图 plot:
This is supposed to be a categorical scatter plot with discrete x values represented by counts of elements in locations(Wells) vs Time Point.这应该是一个分类散点图 plot,其离散 x 值由位置(井)与时间点中的元素计数表示。
I have written this code:我写了这段代码:
df = pd.read_excel (r'file.xlsx')
fig = go.Figure()
fig.add_trace(
go.Scatter(
x = [df['Well A'], df['Well B'],df['Well C'],df['Well D']],
y = df['Time Point'],
mode='markers'
)
)
And I get this as a result:结果我得到了这个:
Which is crazy, I have no idea what is even happening there.这太疯狂了,我什至不知道那里发生了什么。 Could you please help?..
能否请你帮忙?..
PS My df looks like this: PS 我的 df 看起来像这样:
Please, help:(请帮忙:(
If this is your desired result:如果这是您想要的结果:
for c in df.columns[1:]:
fig.add_trace(go.Scatter(x = df['Time Point'], y = df[c],
mode = 'markers',
name = c
)
)
import pandas as pd
import numpy as np
import plotly.graph_objects as go
import plotly.express as px
obs = 8
df = pd.DataFrame({'Time Point': [1,2,3,4,5,6,7,8],
'Well A':np.random.randint(10, size=8),
'Well B':np.random.randint(10, size=8),
'Well C':np.random.randint(10, size=8),
'Well D':np.random.randint(10, size=8)})
fig = go.Figure()
for c in df.columns[1:]:
fig.add_trace(go.Scatter(x = df['Time Point'], y = df[c],
mode = 'markers',
name = c
)
)
fig.show()
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