
 Getting a: ValueError: ordinal must be >= 1
while adding another element to the plot such as fill between or scatterplot to the line plot already exists.
Getting a: ValueError: ordinal must be >= 1
while adding another element to the plot such as fill between or scatterplot to the line plot already exists. 
If I remove the line plot, it lets me run the scatterplot/fill between.
This is the output of df.head(20):
             Date Element  Data_Value
18049  2005-01-01    TMAX          56
35479  2005-01-01    TMIN         -39
49823  2005-01-01    TMAX         150
17153  2005-01-01    TMAX         150
49827  2005-01-01    TMIN         -39
31718  2005-01-01    TMIN         -44
55424  2005-01-01    TMAX         150
35771  2005-01-01    TMAX         122
35785  2005-01-01    TMIN         -39
31715  2005-01-01    TMAX         156
39569  2005-01-01    TMAX         144
39565  2005-01-01    TMIN         -22
3058   2005-01-01    TMAX         128
19772  2005-01-01    TMAX         128
19769  2005-01-01    TMIN         -33
55102  2005-01-01    TMAX          67
1906   2005-01-01    TMIN         -17
55067  2005-01-01    TMIN         -28
39468  2005-01-01    TMIN         -28
39454  2005-01-01    TMAX          28
This is the code:
df = 
pd.read_csv('data/C2A2_data/BinnedCsvs_d400/fb441e62df2d58994928907a91895ec62c2c42e6cd075c2700843b89.csv', parse_dates=['Date'])
df = df.set_index('Date').sort_index()
df15 = df[df.index.year == 2015]
df15 = df15.reset_index()
df = df[~(df.index.year == 2015)]
df = df[~((df.index.month == 2) & (df.index.day == 29))]
df = df.reset_index()
df = df.sort_values(by = ['Date', 'Data_Value'], ascending = [1, 0])
maxlst = df.groupby(df['Date'].dt.strftime('%m-%d'))['Data_Value'].max().sort_index()
minlst = df.groupby(df['Date'].dt.strftime('%m-%d'))['Data_Value'].min().sort_index()
maxlst15 = df15.groupby(df15['Date'].dt.strftime('%m-%d'))['Data_Value'].max().sort_index()
minlst15 = df15.groupby(df15['Date'].dt.strftime('%m-%d'))['Data_Value'].min().sort_index()
max_record15 = np.where(maxlst15.values > maxlst.values)[0]
min_record15 = np.where(minlst15.values < minlst.values)[0]
date_lst = []
for dt in list(maxlst.sort_index().index):
    date_lst.append(datetime.strptime(dt, "%m-%d"))
plt.figure()
plt.plot(date_lst, maxlst, '-', date_lst, minlst, '-')
#when adding this row i get the error:
plt.scatter(max_record15, maxlst15.iloc[max_record15], s=10, color='red', label='High temp record broken (2015)')
plt.scatter(min_record15, maxlst15.iloc[min_record15], s=10, color='green', label='Low temp record broken (2015)')
#this line gives my the same error:
#plt.gca().fill_between(range(len(minlst)), minlst, maxlst, facecolor='blue', alpha=0.25)
plt.show()
This is the error:
ValueError: ordinal must be >= 1
with a bunch of trace calls.
