我刚刚开始尝试用 Python 进行可视化。使用以下代码,我尝试向从数据框绘制的 Matplotlib 条形图添加排序功能。我想在图表上添加一个按钮
,例如sort
,这样当单击它时,它会按照从最高销售额到最低销售额的顺序显示一个新图,目前可以显示按钮,但无法触发排序功能。任何想法或指示将不胜感激。
[更新的尝试]
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
def sort(data_frame):
sorted = data_frame.sort_values('Sales')
return data_frame2
def original():
return data_frame
data_frame.plot.bar(x="Product", y="Sales", rot=70, title="Sales Report");
plot.xlabel('Product')
plot.ylabel('Sales')
axcut = plt.axes([0.9, 0.0, 0.1, 0.075])
bsort = Button(axcut,'Sort')
bsort.on_clicked(sort)
axcut2 = plt.axes([1.0, 0.0, 0.1, 0.075])
binit = Button(axcut2,'Original')
binit.on_clicked(original)
plt.show()
预期图形输出
集成
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
import seaborn as sns
%matplotlib notebook
class Index(object):
ind = 0
global funcs
def next(self, event):
self.ind += 1
i = self.ind %(len(funcs))
x,y,name = funcs[i]() # unpack tuple data
for r1, r2 in zip(l,y):
r1.set_height(r2)
ax.set_xticklabels(x)
ax.title.set_text(name) # set title of graph
plt.draw()
class Show():
def trigger(self):
number_button = tk.Button(button_frame2, text='Trigger', command= self.sort)
def sort(self,df_frame):
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.2)
######intial dataframe
df_frame
######sorted dataframe
dfsorted = df_frame.sort_values('Sales')
x, y = df_frame['Product'], df_frame['Sales']
x1, y1 = df_frame['Product'], df_frame['Sales']
x2, y2 = dfsorted['Product'], dfsorted['Sales']
l = plt.bar(x,y)
plt.title('Sorted - Class')
l2 = plt.bar(x2,y1)
l2.remove()
def plot1():
x = x1
y = y1
name = 'ORginal'
return (x,y,name)
def plot2():
x = x2
y = y2
name = 'Sorteds'
return (x,y,name)
funcs = [plot1, plot2]
callback = Index()
button = plt.axes([0.81, 0.05, 0.1, 0.075])
bnext = Button(button, 'Sort', color='green')
bnext.on_clicked(callback.next)
plt.show()
最佳答案
我提供了两个可重现的示例,使用著名的titanic
数据集对class
与幸存者数量
进行基本比较,以进行交互式排序matplotlib
bar
和 plot
(即线)在下面的 x 轴上排序:
使用bar
图,您必须使用set_height
循环遍历矩形,例如对于 zip(l,y) 中的 r1, r2: r1.set_height(r2)
和对于 line
绘图,您可以使用 set_ydata
,例如l.set_ydata(y)
。
如果使用 jupyter 笔记本,请确保使用 %matplotlib 笔记本
。
酒吧
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
import seaborn as sns
%matplotlib notebook
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.2)
df = sns.load_dataset('titanic')
df1 = df.groupby('class', as_index=False)['survived'].sum().sort_values('class')
df2 = df1.sort_values('survived', ascending=False)
x, y = df1['class'], df1['survived']
x1, y1 = df1['class'], df1['survived']
x2, y2 = df2['class'], df2['survived']
l = plt.bar(x,y)
plt.title('Sorted - Class')
l2 = plt.bar(x2,y1)
l2.remove()
class Index(object):
ind = 0
global funcs
def next(self, event):
self.ind += 1
i = self.ind %(len(funcs))
x,y,name = funcs[i]() # unpack tuple data
for r1, r2 in zip(l,y):
r1.set_height(r2)
ax.set_xticklabels(x)
ax.title.set_text(name) # set title of graph
plt.draw()
def plot1():
x = x1
y = y1
name = 'Sorted - Class'
return (x,y,name)
def plot2():
x = x2
y = y2
name = 'Sorted - Highest # Survivors'
return (x,y,name)
funcs = [plot1, plot2]
callback = Index()
button = plt.axes([0.81, 0.05, 0.1, 0.075])
bnext = Button(button, 'Sort', color='green')
bnext.on_clicked(callback.next)
plt.show()
LINE
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Button
import seaborn as sns
%matplotlib notebook
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.2)
df = sns.load_dataset('titanic')
df1 = df.groupby('class', as_index=False)['survived'].sum().sort_values('class')
df2 = df1.sort_values('survived', ascending=False)
x, y = df1['class'].to_numpy(), df1['survived'].to_numpy()
x1, y1 = df1['class'].to_numpy(), df1['survived'].to_numpy()
x2, y2 = df2['class'].to_numpy(), df2['survived'].to_numpy()
l, = plt.plot(x,y)
plt.title('Sorted - Class')
class Index(object):
ind = 0
global funcs
def next(self, event):
self.ind += 1
i = self.ind %(len(funcs))
x,y,name = funcs[i]() # unpack tuple data
l.set_ydata(y) #set y value data
ax.set_xticklabels(x)
ax.title.set_text(name) # set title of graph
plt.draw()
def plot1():
x = x1
y = y1
name = 'Sorted - Class'
return (x,y,name)
def plot2():
x = x2
y = y2
name = 'Sorted - Highest # Survivors'
return (x,y,name)
funcs = [plot1, plot2]
callback = Index()
button = plt.axes([0.81, 0.05, 0.1, 0.075])
bnext = Button(button, 'Sort', color='green')
bnext.on_clicked(callback.next)
plt.show()
关于python - 如何使用按钮向 Matplotlib 条形图和折线图添加排序功能,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/65638708/