[英]Plotting multiple lines from one dataframe and adding a secondary axis to plot a different dataframe - Pandas
I'm having issues with matplotlib.我在使用 matplotlib 时遇到问题。 I want to make a scatterplot with two y-axes and the two axes should correspond to two different dataframes.
我想用两个 y 轴制作一个散点图,两个轴应该对应两个不同的数据框。 But the problem I'm encountering is plotting multiple lines from one dataframe.
但我遇到的问题是从一个数据框中绘制多条线。
the first dataframe (IV_dv):第一个数据帧(IV_dv):
**year is the index
year ninetyeight_x EC_pmdv ninetyeight_y C_pmdv ninetyeight B_pmdv
2009 35.69 35.69 39.78 39.78 25.35 25.34
2010 24.0 29.84 31.50 35.64 12.83 19.08
2011 28.43 29.37 31.03 34.10 17.08 18.42
2012 28.24 26.89 37.392 33.31 22.016 17.31
2013 25.83 27.50 27.43 31.95 16.44 18.51
the second dataframe (rainavg):第二个数据框(rainavg):
year precip
2010 161.798
2011 64.262
2012 62.991
2013 91.440
I want to make a scatterplot with the left y-axis being PM2.5 concentration (ug/m3), which is what columns EC_pmdv, C_pmdv, and B_pmdv are describing.我想制作一个散点图,左 y 轴是 PM2.5 浓度 (ug/m3),这是 EC_pmdv、C_pmdv 和 B_pmdv 列所描述的。 I want the right y-axis to be precipitation (mm).
我希望正确的 y 轴是降水量 (mm)。 And I want the x-axis to be year.
我希望 x 轴为年份。 I am having trouble plotting all three lines from IVdv (I want to plot x1=IVdv.year, y1=IVdv.EC_pmdv, x2=IVdv.year, y2=IVdv.C_pmdv, x3=IVdv.year, y3=IVdv.B_pmdv).
我无法从 IVdv 绘制所有三行(我想绘制 x1=IVdv.year, y1=IVdv.EC_pmdv, x2=IVdv.year, y2=IVdv.C_pmdv, x3=IVdv.year, y3=IVdv.B_pmdv )。 I know how to make two y axes.
我知道如何制作两个 y 轴。 I've attached the code I've written so far:
我附上了我到目前为止编写的代码:
fig, ax = plt.subplots()
ax.plot(x1=IVdv.index, y1=IVdv.EC_pmdv, x2=IVdv.index, y2=IVdv.C_pmdv, x3=IVdv.index,
y3=IVdv.B_pmdv, color='k', linewidth=2.0, label1='El Centro',
label2='Calexico', label3='Brawley', marker='v')
ax.set_xticks(IVdv.index)
ax.title.set_text('PM2.5 Design Values')
ax.set_ylim(0,100)
ax.set_ylabel('PM2.5 Design Value (ug/m3)')
ax.set_xlabel('Year')
ax2=ax.twinx()
ax2.plot(rainavg.year, rainavg.precip, color='c',
linewidth=2.0, label='Imperial County annual precipitation', marker='o')
ax2.set_ylim(25,170)
ax2.set_xticks(rainavg.year)
ax2.set_ylabel('Annual Precipitation Average (mm)')
lines_1, labels_1 = ax.get_legend_handles_labels()
lines_2, labels_2 = ax2.get_legend_handles_labels()
lines = lines_1 + lines_2
labels = labels_1 + labels_2
ax.legend(lines, labels, loc='upper center')
However, it is only plotting rain data.但是,它只是绘制降雨数据。 I don't think this is the correct syntax for this, but I can't seem to find anything to answer my question.
我认为这不是正确的语法,但我似乎找不到任何东西来回答我的问题。 I am only finding forums that explain either how to plot multiple lines from one data frame or how to plot two y-axes.
我只是发现,无论是讲解如何从一个数据帧或如何绘制两个Y轴绘制多行论坛。
plot multiple pandas dataframes in one graph This link says I need to use ax=ax but I'm not sure how to format it while also retaining my secondary y-axis. 在一张图中绘制多个 Pandas 数据框此链接说我需要使用 ax=ax 但我不确定如何在保留辅助 y 轴的同时对其进行格式化。
Let's use pandas plot it is easier:让我们使用熊猫图更容易:
fig, ax = plt.subplots(figsize=(10,8))
IVdv.plot(ax = ax, marker='v')
ax.title.set_text('PM2.5 Design Values')
ax.set_ylim(0,100)
ax.set_ylabel('PM2.5 Design Value (ug/m3)')
ax.set_xlabel('Year')
ax.set_xticks(IVdv.index)
ax2=ax.twinx()
ax2.plot(rainavg.year, rainavg.precip, color='c',
linewidth=2.0, label='Imperial County annual precipitation', marker='o')
ax2.set_ylim(25,170)
# ax2.set_xticks(rainavg.year)
ax2.set_ylabel('Annual Precipitation Average (mm)')
lines_1, labels_1 = ax.get_legend_handles_labels()
lines_2, labels_2 = ax2.get_legend_handles_labels()
lines = lines_1 + lines_2
labels = labels_1 + labels_2
ax.legend(lines, labels, loc='upper center')
Output:输出:
Update for multiple markerstyles and no lines:更新多个标记样式且无行:
fig, ax = plt.subplots(figsize=(10,8))
markerstyles = ['v','o','+','*','.']
for i, col in zip(markerstyles, IVdv):
IVdv[col].plot(ax = ax, marker=i, linestyle='none')
ax.title.set_text('PM2.5 Design Values')
ax.set_ylim(0,100)
ax.set_ylabel('PM2.5 Design Value (ug/m3)')
ax.set_xlabel('Year')
ax.set_xticks(IVdv.index)
ax2=ax.twinx()
ax2.plot(rainavg.year, rainavg.precip, color='c',
linewidth=2.0, label='Imperial County annual precipitation', marker='o')
ax2.set_ylim(25,170)
# ax2.set_xticks(rainavg.year)
ax2.set_ylabel('Annual Precipitation Average (mm)')
lines_1, labels_1 = ax.get_legend_handles_labels()
lines_2, labels_2 = ax2.get_legend_handles_labels()
lines = lines_1 + lines_2
labels = labels_1 + labels_2
ax.legend(lines, labels, loc='upper center')
Output:输出:
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.