Python 在 matplotlib 中制作散点图，x 轴上有日期，y 上有值
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Make a Scatter Plot in matplotlib with dates on x axis and values on y
提问by Ravmcgav
I am having trouble making a scatter plot that has from a date array and a bunch of PM 2.5 values. My lists would look like the following:
我在制作包含日期数组和一堆 PM 2.5 值的散点图时遇到问题。我的列表如下所示：
dates = ['2015-12-20','2015-09-12']
PM_25 = [80, 55]
回答by RSHAP
import pandas as pd
dates = ['2015-12-20','2015-09-12']
PM_25 = [80, 55]
dates = [pd.to_datetime(d) for d in dates]
plt.scatter(dates, PM_25, s =100, c = 'red')
ssets the size
csets the color
s设置大小
c设置颜色
There are a whole bunch of other args as well: http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter
还有一大堆其他参数：http: //matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter
回答by Memin
If a plot with data that contains dates, you can use plot_date
如果绘图的数据包含日期，则可以使用plot_date
Similar to the plot() command, except the x or y (or both) data is considered to be dates, and the axis is labeled.
类似于 plot() 命令，除了 x 或 y（或两者）数据被视为日期，并且轴被标记。
First convert list to date time, as @RSHARP showed,
首先将列表转换为日期时间，如@RSHARP 所示，
dates = [pd.to_datetime(d) for d in dates]
then you can use plot_date
那么你可以使用 plot_date
plt.plot_date(dates, PM_25, c = 'red')
回答by Anthony
a pandas dataframe is more common usually. so it's efficient to me:
熊猫数据框通常更常见。所以对我来说很有效：
import pandas as pd
dates = ['2015-12-20','2015-09-12']
PM_25 = [80, 55]
data = pd.DataFrame({'dates':pd.to_datetime(dates),'PM_25':PM_25})
data.plot(x='dates',y='PM_25',marker='o',linestyle='none')
and you can define more like this:
你可以定义更多这样的：
data.plot(x='dates',y='PM_25',marker='o',linestyle='none',color='red',ms=3)
