data looks like this
A | label |
---|---|
string | negative |
string | negative |
string | negative |
string | positive |
string | positive |
string | negative |
string | positive |
I want to make a simple plotly bar chart showing two bars - the count of positive and the count of negative, next to each other, blue and red.
If I do this
fig = px.bar(df, x=df["label"])
then I get this (btw do you know why the colors are muted out of nowhere?):
When I hover it says "count = 1 " I want it to say the actual count.. and I want to make the negative bar red. How do I do that?
执行groupby
并使用count
进行聚合以获得一个新的 DataFrame ,其中包含label
下两个类的计数:
fig = px.bar(df.groupby([‘a’]).count(),x=‘label’,color =‘label’, color_discrete_sequence=[‘blue’,’red’])
plotly has histogram chart type. https://plotly.com/python/histograms/
import io
import pandas as pd
import plotly.express as px
df = pd.read_csv(io.StringIO("""A,label
string,negative
string,negative
string,negative
string,positive
string,positive
string,negative
string,positive"""))
px.histogram(df, x="label", color="label", color_discrete_sequence=["red","blue"])
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