day = ([ 1 , 2 , 5 , 6 , 7 , 8 , 9])
rain = ([0.6 , 0.8 , 1 , 6 , 6.5 ,7 , 4])
snow = ([ 1 , 2 , 0.5 , 7 , 8 , 9 , 10])
if I want to plot day on x axis and rain and snow on y axis, and for example have a dotted line joining for the days that are missing information how do I do this?
plt.figure()
plt.plot(day,rain, marker='o')
plt.plot(day, snow, marker='o')
plt.show()
Here is a solution.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
day = ([ 1 , 2 , 3, 4, 5 , 6 , 7 , 8 , 9])
rain = ([0.6 , 0.8 , np.nan, np.nan, 1 , 6 , 6.5 ,7 , 4])
snow = ([ 1 , 2 , np.nan, np.nan, 0.5 , 7 , 8 , 9 , 10])
df = pd.DataFrame({'rain': rain, 'snow': snow}, index = day)
df.index.name = 'day'
fig, ax = plt.subplots()
line, = ax.plot(df['rain'].fillna(method='ffill'), ls = '--', lw = 1, label='_nolegend_')
ax.plot(df['rain'], color=line.get_color(), lw=1.5, marker = 'o')
line, = ax.plot(df['snow'].fillna(method='ffill'), ls = '--', lw = 1, label='_nolegend_')
ax.plot(df['snow'], color=line.get_color(), lw=1.5, marker = 'o')
plt.legend()
plt.xlabel('day')
plt.ylabel('mm')
plt.show()
plt.plot(day,rain, ':o'). The colon stands for dotted line