CODEWITHSUNDEEP
pythonmatplotlib
Tijmen Stronks
Tijmen Stronks

Reputation: 49

Python x axis changes in twinx plot

I have a dataframe df with a few meteorological parameters in it. The dataframe has DatetimeIndex, so when I plot it, it automatically puts the time on the x axis. Now that is great, because when I plot one parameter, for example:

ax1 = df.plot(y='temp_vaisala' , color='tab:blue')
ax1.set_ylabel('Temerature (C)', color='tab:blue')
ax1.set_xlabel('Month', color='tab:blue')

It gives me the following nice graph as a result: enter image description here

However, I would like to have a graph with two parameters, so I use the twinx option like this:

fig, ax1 = plt.subplots()

ax2 = ax1.twinx()
ax1.plot(df['temp_vaisala'], 'tab:blue')
ax2.plot(df['rel_humidity_vaisala'], 'b-')

ax1.set_xlabel('Month', color='tab:blue')
ax1.set_ylabel('Temerature (C)', color='tab:blue')
ax2.set_ylabel('RH (-)', color='b')

This function however gives the following graph as a result: enter image description here

So for some reason, this completely messes up the description under the x axis. I would like this graph with two parameters to have the same x axis as the first graph. Does anyone have a solution for this? Many thanks in advance!

Upvotes: 0

Views: 579

Answers (1)

Scott Boston
Scott Boston

Reputation: 153460

Try this, using pandas plot:

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

df = pd.DataFrame({'temp':np.arange(12),'rhel':np.arange(220,100,-10)},
                 index=pd.date_range('10-01-2020', periods=12, freq='MS'))

fig, ax1 = plt.subplots()

ax2 = ax1.twinx()
df['temp'].plot(ax = ax1, color='tab:blue')
df['rhel'].plot(ax = ax2, color='b')

ax1.set_xlabel('Month', color='tab:blue')
ax1.set_ylabel('Temerature (C)', color='tab:blue')
ax2.set_ylabel('RH (-)', color='b');

Output:

enter image description here

Upvotes: 2

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