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:
dates = ['2015-12-20','2015-09-12']
PM_25 = [80, 55]
a pandas dataframe is more common usually. so it's efficient to me:
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:
data.plot(x='dates',y='PM_25',marker='o',linestyle='none',color='red',ms=3)
If a plot with data that contains dates, you can use 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.
First convert list to date time, as @RSHARP showed,
dates = [pd.to_datetime(d) for d in dates]
then you can use plot_date
plt.plot_date(dates, PM_25, c = 'red')
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')
s
sets the size
c
sets the color
There are a whole bunch of other args as well: http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With