通过的项目数量错误 5，放置意味着 1

Question

我正在尝试在同一个图形上创建折线图和散点图。应该有两条线和两个散点图。

datamax['datamax'] = datamax2015['Data_Value']
datamin['datamin'] = datamin2015['Data_Value']

ax = plt.gca()
datamax.plot(kind='line',x='Date',y='Data_Value',color='red',ax=ax)
datamin.plot(kind='line',x='Date',y='Data_Value', color='blue',ax=ax)
datamax.plot(kind='scatter',x='Date',y='breakup',color='red',ax=ax)
datamin.plot(kind='scatter',x='Date',y='breakdown', color='blue',ax=ax)

plt.ylabel("Temperature (degrees C)",color='navy')
plt.xlabel("Date",color='navy',labelpad=15)
plt.title('Record high and low temperatures by day (2005-2014)', alpha=1.0,color='brown',y=1.08)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.35),
          fancybox=False,labels=['Record high','Record low'])
plt.xticks(rotation=30)
plt.fill_between(range(len(datamax['Date'])), datamax['Data_Value'], datamin['Data_Value'],color='yellow',alpha=0.8)
plt.show()

但是，我一直收到错误消息：

ValueError：传递的项目数错误 5，放置意味着 1

当我修改代码为：

datamax['datamax'] = datamax2015['Data_Value']
datamin['datamin'] = datamin2015['Data_Value']
datamax['breakup'] = datamax[datamax['datamax']>datamax['Data_Value']]
datamin['breakdown'] = datamin[datamin['datamin']<datamin['Data_Value']]

ax = plt.gca()
datamax.plot(kind='line',x='Date',y='Data_Value',color='red',ax=ax)
datamin.plot(kind='line',x='Date',y='Data_Value', color='blue',ax=ax)

plt.ylabel("Temperature (degrees C)",color='navy')
plt.xlabel("Date",color='navy',labelpad=15)
plt.title('Record high and low temperatures by day (2005-2014)', alpha=1.0,color='brown',y=1.08)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.35),
          fancybox=False,labels=['Record high','Record low'])
plt.xticks(rotation=30)
plt.fill_between(range(len(datamax['Date'])), datamax['Data_Value'], datamin['Data_Value'],color='yellow',alpha=0.8)
plt.show()

代码有效，并给出输出：

谁能告诉我我做错了什么？

这一行给我错误：datamax['breakup'] = datamax[datamax['datamax']>datamax['Data_Value']]

Answer 1

您正在使用整个数据框并将其分配给单个列。我认为你需要满足以下条件

datamax['breakup'] = datamax['datamax'][datamax['datamax']>datamax['Data_Value']]
datamin['breakdown'] = datamin['datamin'][datamin['datamin']<datamin['Data_Value']]

通过的项目数量错误 5，放置意味着 1

Wrong number of items passed 5, placement implies 1

python

plot

visualization

matplotlib

pandas