python:'int' 对象不可迭代？

Question

我试试matplotlib（中国余数定理）

中国剩余定理（已解决示例 1） https://youtu.be/e8DtzQkjOMQ

①我要清除错误：我要交集：枚举（列表（设置（数据A）&设置（数据B）&设置（数据C）））好的！

②我要显示数据A-->X=2(mod 3)

‖我要显示数据B-->X=3(mod 5)

‖我要显示数据C-->X=2(mod 7)

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import collections as mc
import seaborn as sns
myMax=200
b1,b2,b3=2,3,2
m1,m2,m3=3,5,7
dataA = list(range(b1,myMax,m1))
dataB = list(range(b2,myMax,m2))
dataC = list(range(b3,myMax,m3))
data =   [['dataA', v] for v in dataA] \
       + [['dataB', v] for v in dataB] \
       + [['dataC', v] for v in dataC]
df = pd.DataFrame(data, columns=['data', 'value'])
plt.figure(1, figsize=(8, 2.4))
ax = sns.stripplot(data=df, x='value', y='data', jitter=False, size=7)
hc = mc.LineCollection(
  [[[0, n], [i, n]] for n, i in enumerate(map(max, (dataA,dataB,dataC)))],
  colors='k', linewidths=2)
ax.add_collection(hc)
lc = mc.LineCollection(
  [[[i, 0], [i, 2]] for i in set(dataA)&set(dataB)&set(dataC)],
  colors='red', linewidths=2)
ax.add_collection(lc)
ax.set_xlabel(''); ax.set_ylabel('')
for p in ('right', 'left', 'top', 'bottom'):
  ax.spines[p].set_visible(False)
ax.tick_params(
  left=False, bottom=False, labelleft=True, labelbottom=False)
#################################################################################################################
# for n, l in enumerate(list(set(dataA)&set(dataB)&set(dataC))):  # Error TypeError: 'int' object is not iterable
for n, l in enumerate((dataA, dataB, dataC)):                     # OK
  for i in l:
    ax.text(
      x=i+0.1, y=n-0.05, s=i,
      horizontalalignment='left', verticalalignment='bottom',
      size='medium', color='k')
plt.show()

（20220521)‖已解决

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import collections as mc
import seaborn as sns
myMax=200
b1,m1=2,3
b2,m2=3,5
b3,m3=2,7
dataA = list(range(b1,myMax,m1))
dataB = list(range(b2,myMax,m2))
dataC = list(range(b3,myMax,m3))
data =   [['X≡2 mod 3', v] for v in dataA] \
       + [['X≡3 mod 5', v] for v in dataB] \
       + [['X≡2 mod 7', v] for v in dataC]
df = pd.DataFrame(data, columns=['data', 'value'])
plt.figure(1, figsize=(8, 2.4))
ax = sns.stripplot(data=df, x='value', y='data', jitter=False, size=7)
##########################################################################
hc = mc.LineCollection(
  [[[0, n], [i, n]] for n, i in enumerate(map(max, (dataA,dataB,dataC)))],
  colors='k', linewidths=2)
ax.add_collection(hc)
##########################################################################
lc = mc.LineCollection(
  [[[i, 0], [i, 2]] for i in set(dataA)&set(dataB)&set(dataC)],
  colors='red', linewidths=2)
ax.add_collection(lc)
##########################################################################
ax.set_xlabel(''); ax.set_ylabel('')
for p in ('right', 'left', 'top', 'bottom'):
  ax.spines[p].set_visible(False)
ax.tick_params(
  left=False, bottom=False, labelleft=True, labelbottom=False)
##########################################################################
dataD=list(set(dataA) & set(dataB) & set(dataC))
for n, l in enumerate((dataD, dataD, dataD)):
  for i in l:
      ax.text(
               x=i+0.1, y=n-0.05, s=i,
               horizontalalignment='left', verticalalignment='bottom',
              size='medium', color='k')
plt.show()

Answer 1

通常这个错误是指试图循环一个具有单个值的变量例如：

x = 1
for y in x:
 print("HELLO")
#TypeError: 'int' object is not iterable

您必须在您的程序中搜索或无法获取数据列表或使用try and except

x = 1
try:
    for  y in x:
     print("HELLO")
except TypeError as e:
    print(f"TypeError: {e}\nERROR DETECTED....ENTERING IN EXCEPTION....\n ")
    x = ['data','data','data']
    for  y in x:
     print("HELLO")

python:'int' 对象不可迭代？

python:'int' object is not iterable?

python

matplotlib

pandas

chinese-remainder-theorem