Matplotlib 未在数据点之间绘制线

Question

I have a set of snowfall accumulation data that I am plotting from a csv that looks like so:

I am attempting to plot the GFS data against the RAP data and the RAP will plot flawlessly with points and lines that connected them. However, the GFS will only plot as point data: and I, for the life of me, have not found a way to to plot the GFS data with a line to connect that points. Here is the code that I have been working with:

gfs = df['GFS']
rap = df['RAP']
fig2, ax2 = plt.subplots(figsize=(10,8))
ax2.plot(fh,gfs,'ob-') 
ax2.plot(fh,rap,marker='x')
ax2.tick_params(which='major',labelsize='12')
ax2.grid(which='major', color='#CCCCCC', linestyle='-')
plt.xticks(rotation='90')
plt.xlabel('Forecast Run')
plt.ylabel('Snowfall Accumulation (in.)')
plt.legend()

Any help and guidance would be greatly appreciated!

Edited graph with ~np.isnan():

Answer 1

To expand on @ImportanceOfBeingErnest's answer, you can remove missing values like this:

Replace

ax2.plot(fh,gfs,'ob-') 

with

ax2.plot(fh[~np.isnan(gfs)],gfs[~np.isnan(gfs)],'ob-') 

UPDATE:

The above method likely results in changing the order of the x axis. Here is a workaround:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# make up some fake data
df = pd.DataFrame({"GFS": [np.nan, np.nan, 1, 2, np.nan, 
                          2, 3, np.nan, np.nan, 4], 
                    "RAP": [-2.45832646,  0.56266567, -0.4453474 , 
                            -0.85447845, -1.34830127,
                            -0.38113925, -0.41400397,  
                            np.nan, -0.78764545, -0.02807674]})
fh = np.array(["Fri 4 am", "Fri 6 am","Fri 8 am","Fri 10 am",
                "Fri 6 pm","Fri 10 pm","Sat 4 am","Sat 6 am",
                "Sat 8 am","100az 10 am"
                ])
gfs = df['GFS']
rap = df['RAP']


fig2, ax2 = plt.subplots(figsize=(10,8))
# workaround to set the order of xlabels
ax2.plot(fh, [np.nan]*len(fh)) 
# remove nan's  so that the points are connected
ax2.plot(fh[~np.isnan(gfs)], gfs[~np.isnan(gfs)], "ob-") 
ax2.plot(fh[~np.isnan(rap)],rap[~np.isnan(rap)],marker='x')
ax2.tick_params(which='major',labelsize='12')
ax2.grid(which='major', color='#CCCCCC', linestyle='-')
plt.xticks(rotation='90')
plt.xlabel('Forecast Run')
plt.ylabel('Snowfall Accumulation (in.)')