如何创建Python iplot图形，颜色随值变化？

这是我的部分数据

我数我的数据

count_interests = interests.count()

然后做了一个图表

count_interests.iplot(kind = 'bar', xTitle='Interests', yTitle='Number of Person', colors='Red')

我曾多次尝试寻找一个函数，该函数使用值更改columns color，以使较大和较小的列显示不同的颜色

---

我知道有

colorscale

和

color

函数，我试了很多次都找不到。有人知道任何函数吗？

您可以定义一个函数，该函数为每个值返回一个颜色，然后在

列表中传递每个条的颜色

import pandas as pd
import plotly

def color(val, median, std):
    if val > median + std:
            return 'darkgreen'
    if val < median - std:
            return 'darkred'
    return 'orange'

df = pd.DataFrame({'cinema': [1, 2, 5, 3, 3, None],
                   'theatre': [3, 0, 8, 4, 0, 4],
                   'wine': [3, 2, 5, None, 1, None],
                   'beer': [4, 8, 2, None, None, None]})

med = df.count().median()
std = df.count().std()

colors = [color(i, med, std) for i in df.count()]

fig = plotly.graph_objs.Bar(x=df.columns,
                            y=df.count(),
                            marker=dict(color=colors))

plotly.offline.plot([fig])

将熊猫作为pd导入
绘声绘色地导入
def颜色（val、中值、标准）：
如果val>中值+标准：
返回“暗绿色”
如果val<中值-标准：
返回'darkred'
返回“橙色”
df=pd.DataFrame（{'cinema'：[1,2,5,3,3，无]，
《剧院》：[3,0,8,4,0,4]，
“葡萄酒”：[3，2，5，无，1，无]，
“啤酒”：[4，8，2，无，无，无]）
med=df.count（）.median（）
std=df.count（）.std（）
colors=[df.count（）中i的颜色（i、med、std）]
fig=绘图仪对象条（x=df.columns，
y=df.count（），
标记=记录（颜色=颜色））
plotly.offline.plot（[图]）

您可以定义一个函数，该函数返回每个值的颜色，然后在
列表中传递每个条的颜色

import pandas as pd
import plotly

def color(val, median, std):
    if val > median + std:
            return 'darkgreen'
    if val < median - std:
            return 'darkred'
    return 'orange'

df = pd.DataFrame({'cinema': [1, 2, 5, 3, 3, None],
                   'theatre': [3, 0, 8, 4, 0, 4],
                   'wine': [3, 2, 5, None, 1, None],
                   'beer': [4, 8, 2, None, None, None]})

med = df.count().median()
std = df.count().std()

colors = [color(i, med, std) for i in df.count()]

fig = plotly.graph_objs.Bar(x=df.columns,
                            y=df.count(),
                            marker=dict(color=colors))

plotly.offline.plot([fig])

将熊猫作为pd导入
绘声绘色地导入
def颜色（val、中值、标准）：
如果val>中值+标准：
返回“暗绿色”
如果val<中值-标准：
返回'darkred'
返回“橙色”
df=pd.DataFrame（{'cinema'：[1,2,5,3,3，无]，
《剧院》：[3,0,8,4,0,4]，
“葡萄酒”：[3，2，5，无，1，无]，
“啤酒”：[4，8，2，无，无，无]）
med=df.count（）.median（）
std=df.count（）.std（）
colors=[df.count（）中i的颜色（i、med、std）]
fig=绘图仪对象条（x=df.columns，
y=df.count（），
标记=记录（颜色=颜色））
plotly.offline.plot（[图]）

也可以通过
pd.pivot\u table（）
从行到列，或通过为条创建单独的跟踪列表，对条进行着色。这里，以
sum（）
为例对每一列进行聚合。代码如下：

# Import libraries
import datetime
from datetime import date
import pandas as pd
import numpy as np
from plotly import __version__
%matplotlib inline

import cufflinks as cf
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot 
init_notebook_mode(connected=True)

init_notebook_mode(connected=True)
cf.go_offline()

import plotly.graph_objs as go
import plotly.offline as pyo


# Create dataframe
INT_M_PUB = [0,0,0,0,0,1,0,0,0,0]
INT_M_CINEMA = [1,1,1,0,0,0,0,0,0,1]
INT_M_THEATRE = [1,0,1,0,0,1,0,1,0,1]
INT_M_GYM = [0,0,0,0,0,1,0,0,0,1]
INT_M_ENTERTAIN = [0,0,1,1,0,1,0,1,0,1]
INT_M_EATOUT = [0,1,1,0,0,1,0,0,1,1]
INT_M_WINE = [0,0,0,0,0,1,0,0,0,1]


interests = pd.DataFrame({'INT_M_PUB':INT_M_PUB, 'INT_M_CINEMA':INT_M_CINEMA, 'INT_M_THEATRE':INT_M_THEATRE,
                   'INT_M_GYM':INT_M_GYM, 'INT_M_ENTERTAIN':INT_M_ENTERTAIN, 'INT_M_EATOUT':INT_M_EATOUT,
                   'INT_M_WINE':INT_M_WINE
                  })
interests.head(2)


dfm = interests.sum().reset_index().rename(columns={'index':'interests', 0:'value'})
dfm

# Re-creating the plot similar to that in question (note: y-axis scales are different)
df = dfm.copy()
col_list = df.columns

df.iplot(kind = 'bar', x='interests', y='value', xTitle='Interests', yTitle='Number of Person', title='These bars need to be colored', color='red')



也可以通过
pd.pivot\u table（）
从行到列，或通过为条创建单独的跟踪列表，对条进行着色。这里，以
sum（）
为例对每一列进行聚合。代码如下：

# Import libraries
import datetime
from datetime import date
import pandas as pd
import numpy as np
from plotly import __version__
%matplotlib inline

import cufflinks as cf
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot 
init_notebook_mode(connected=True)

init_notebook_mode(connected=True)
cf.go_offline()

import plotly.graph_objs as go
import plotly.offline as pyo


# Create dataframe
INT_M_PUB = [0,0,0,0,0,1,0,0,0,0]
INT_M_CINEMA = [1,1,1,0,0,0,0,0,0,1]
INT_M_THEATRE = [1,0,1,0,0,1,0,1,0,1]
INT_M_GYM = [0,0,0,0,0,1,0,0,0,1]
INT_M_ENTERTAIN = [0,0,1,1,0,1,0,1,0,1]
INT_M_EATOUT = [0,1,1,0,0,1,0,0,1,1]
INT_M_WINE = [0,0,0,0,0,1,0,0,0,1]


interests = pd.DataFrame({'INT_M_PUB':INT_M_PUB, 'INT_M_CINEMA':INT_M_CINEMA, 'INT_M_THEATRE':INT_M_THEATRE,
                   'INT_M_GYM':INT_M_GYM, 'INT_M_ENTERTAIN':INT_M_ENTERTAIN, 'INT_M_EATOUT':INT_M_EATOUT,
                   'INT_M_WINE':INT_M_WINE
                  })
interests.head(2)


dfm = interests.sum().reset_index().rename(columns={'index':'interests', 0:'value'})
dfm

# Re-creating the plot similar to that in question (note: y-axis scales are different)
df = dfm.copy()
col_list = df.columns

df.iplot(kind = 'bar', x='interests', y='value', xTitle='Interests', yTitle='Number of Person', title='These bars need to be colored', color='red')