I'm a newbie and trying to .fill_between()
two lines on my chart. I've tried everything I can think of to ensure the underlying data is correct, but every time I chart this the .fill_between()
appears one value on the x-axis short than what it should be. Here's my code:
df_combo = pd.read_csv('MySampleData.csv')
max_hist_temps = df_combo['hist_max']
min_hist_temps = df_combo['hist_min']
plt.figure()
plt.plot(max_hist_temps, '-.r'
, min_hist_temps, '-.b'
)
plt.gca().fill_between(range(len(max_hist_temps)),
min_hist_temps, max_hist_temps,
facecolor='blue',
alpha = 0.25)
ax = plt.gca()
ax.axis([0,364,-45,45])
plt.show()
And here's some sample data:
Day_of_Year hist_min hist_max
1 -16 15.6
2 -26.7 13.9
3 -26.7 13.3
4 -26.1 10.6
5 -15 12.8
6 -26.6 18.9
7 -30.6 21.7
8 -29.4 19.4
9 -27.8 17.8
Thank you for your help, Me
The problem is that you are not specifying properly the x parameter of fill_between . You are passing range(len(...))
which starts from 0, while your Day_of_Year starts from one, hence the 1-offset.
[Plus, I think your example is not complete as you should say that you set Day_of_Year
as index of your data.]
To fix your problem, pass the index of max_hist_temp
as x param in the fill_between
function:
plt.gca().fill_between(max_hist_temps.index, # CHANGED HERE
min_hist_temps, max_hist_temps,
facecolor='blue',
alpha = 0.25)
You may want to use the Day_of_Year
column of the dataframe as the actual x values, instead of some other index.
import io
import pandas as pd
import matplotlib.pyplot as plt
u = u"""Day_of_Year hist_min hist_max
1 -16 15.6
2 -26.7 13.9
3 -26.7 13.3
4 -26.1 10.6
5 -15 12.8
6 -26.6 18.9
7 -30.6 21.7
8 -29.4 19.4
9 -27.8 17.8"""
df_combo = pd.read_csv(io.StringIO(u), delim_whitespace=True)
max_hist_temps = df_combo['hist_max']
min_hist_temps = df_combo['hist_min']
plt.figure()
plt.plot(df_combo['Day_of_Year'], max_hist_temps, '-.r',
df_combo['Day_of_Year'], min_hist_temps, '-.b'
)
plt.gca().fill_between(df_combo['Day_of_Year'],
min_hist_temps, max_hist_temps,
facecolor='blue',
alpha = 0.25)
ax = plt.gca()
ax.axis([0,10,-45,45])
plt.show()
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