'tuple' object has no attribute 'plot'

Question

I'm plotting carbon monoxide data, with my x value as a date and my y value as an arithmetic mean.

I've sliced the dataframe up to just show me a single city (Los Angeles)

The x values and y values were objects so I turned the date into datetime and the mean into a float.

I can get it to graph something but what I want is to highlight March and April either by highlighting the back or changing the color of the lines themselves at those months. When I try to do it though each one comes back to me with a tuple error and I'm not understanding why.

Code:


col_names = ["State_Code", "County_Code", "Site_Num","Parameter_Code","POC","Latitude","Longitude","Datum","ParameterName","Sample_Duration","Pollutant_Standard","Date_Local","Units_of_Measure","Event_Type","Observation_Count","Observation_Percent","Arithmetic_Mean","1st_Max_Value","1st_Max_Hour","AQI","Method_Code","Method_Name","Local_Site_Name","Address","State_Name","County_Name","City_Name","CBSA_Name","Date_of_Last_Change"]

coDF2020 = pd.read_csv("daily_co_42101_2020.csv",header=0,names=col_names)

coDF2020LA = coDF2020[coDF2020['City_Name'] == "Los Angeles"]

coDF2020LA['Date_Local'] = pd.to_datetime(coDF2020LA['Date_Local'])
coDF2020LA['Arithmetic_Mean'] = coDF2020LA['Arithmetic_Mean'].astype(str).astype(float)

coDF2020LA.plot(x="Date_Local",y="Arithmetic_Mean")

When I tried the following (commenting out the last line in the top of the code) it threw that error:

ax = plt.subplots()
ax.plot(coDF2020LA['Date_Local'],coDF2020LA['Arithmetic_Mean'])
ax.axvspan(date2num(datetime(2020,3,1)), date2num(datetime(2020,5,1)),color="blue", alpha=0.3)

EDIT 1: Full traceback error:


4 #oDF2020LA.plot(x="Date_Local",y="Arithmetic_Mean")
      5 ax = plt.subplots()
----> 6 ax.plot(coDF2020LA['Date_Local'],coDF2020LA['Arithmetic_Mean'])
      7 ax.axvspan(date2num(datetime(2020,3,1)), date2num(datetime(2020,5,1)),color="blue", alpha=0.3)


AttributeError: 'tuple' object has no attribute 'plot'

EDIT 2: When I do what Enzo suggested it does this to my graph:

EDIT 3:

I had multiple values for each data point, now it works when I eliminated them by doing:

coDF2020LA = coDF2020[(coDF2020['City_Name'] == "Los Angeles") & (coDF2020['Sample_Duration'] == "8-HR RUN AVG END HOUR")]

Please include the full traceback error.

ewokx
– ewokx

2021-05-10 01:49:03 +00:00
Commented May 10, 2021 at 1:49 — ewokx
– ewokx, Commented May 10, 2021 at 1:49

enzo · Accepted Answer · 2021-05-10 04:25:37Z

4

plt.subplots() returns a tuple of figure and subplots, so you should do instead

fig, ax = plt.subplots()
ax.plot(coDF2020LA['Date_Local'],coDF2020LA['Arithmetic_Mean'])
ax.axvspan(date2num(datetime(2020,3,1)), date2num(datetime(2020,5,1)),color="blue", alpha=0.3)

edited May 10, 2021 at 4:25

answered May 10, 2021 at 1:49

enzo

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5 Comments

dauphine Over a year ago

When I do that it throws a different error: "ValueError: too many values to unpack (expected 1)"

enzo Over a year ago

Sorry, I've edited my answer. See if it works now.

dauphine Over a year ago

I'll edit my post to show you what it does when I do that.

enzo Over a year ago

It seems there is something wrong with your x-axis data (date local). Try plotting some dummy values such as ax.plot([1, 2, 3], [2, 4, 6]). If it's ok, then it's your data, then you'll need to sort it based on the date.

dauphine Over a year ago

Apparently I have multiple values in my date column, so that is the error

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